請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44929完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 江昭皚(Joe-Air Jiang) | |
| dc.contributor.author | Cheng-Long Chuang | en |
| dc.contributor.author | 莊欽龍 | zh_TW |
| dc.date.accessioned | 2021-06-15T03:58:37Z | - |
| dc.date.available | 2010-05-22 | |
| dc.date.copyright | 2010-05-22 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-05-18 | |
| dc.identifier.citation | Abel, J.S. (1990) A divide and conquer approach to least-squares estimation. IEEE Trans. on Aerospace and Electronic Systems, 26, 423–427.
Agee, B.G. (1991) Copy/DF approaches for signal specific emitter location. In Proc. of the 25th Asilomar Conference on Signals, Systems and Computers, 994–999, Pacific Grove, CA, USA. Agrawal, D.P., Zeng, Q.-A. (2003) Introduction to Wireless and Mobile Systems. Thomson Publishing, Brooks/Cole. Akyidiz, I.F., Sankarasubramaniam, Y., Su, W., Cayirci, E. (2002) A survey on sensor networks. IEEE Commun. Magazine, 9, 102–114. Al-Karaki, J.N., Kamal, A.E. (2004) Routing techniques in wireless sensor networks: A survey. IEEE Trans. Wireless Commun., 11, 6–28. Al-Obaisat, Y., Braun, R. (2006) On wireless sensor networks: architectures, protocols, applications, and management. In Proc. of the Auswireless Conference 2006, 1–11, Sydney, Australia. Al-Karaki, J.N., Kamak, A.E. (2004) Routing techniques in wireless sensor networks. A survey. IEEE Journal of Wireless Communications, 11, 6–28. Bahl, P., Padmanabhan, V.N. (2000) RADAR: An in-building RF-based user location and tracking system. In Proc. of IEEE INFOCOM 2000, 775–785, Tel Aviv, Israel. Basagni, S., Chlamtac, I., Syrotiuk, V., Woodward, B. (1998) A distance routing effect algorithm for mobility (DREAM). In Proc. of the MOBICOM, 76–84, Dallas, Texas, USA. Bergamo, P., Mazzini, G. (2002) Localization in sensor networks with fading and mobility. In Proc. of the 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 750–754, Lisboa, Portugal. Biedka, T.E., Reed, J.H., Woerner, B.D. (1996) Direction finding methods for CDMA systems. In Proc. of the 13th Asilomar Conference on Signals, Systems and Computers, 637–641, Pacific grove, CA, USA. Bliss, D.W., Forsythe, K.W. (2000) Angle of arrival estimation in the presence of multiple access interference for CDMA cellular phone systems. In Proc. of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop, 408–412, Cambridge, Mass, USA. Bohren, C.F., Huffman, D. (1983) Absorption and scattering of light by small particles; John Wiley: New York, NY, USA. Braginsky, D., Estrin, D. (2002) Rumor routing algorithm for sensor networks. In Proc. of the 1st Workshop on Sensor Networks and Applications, 22–31, Atlanta, GA, USA. Bulusu, N., Heidemann, J., Estrin, D. (2000) GPS-Less Low Cost Outdoor Localization for Very Small Devices. IEEE Personal Comm. Magazine, 7, 28–34. Calvert, K., Doar, M., Zegura, E. (1997) Modeling Internet topology. IEEE Communications Magazine, 35, 160–163. Camilo, T., Rodrigues, A., Silva, J.S., Boavida, F. (2006) Lessons learned from a real wireless sensor network deployment. In Proc. of the Workshop on Performance Control in Wireless Sensor Networks, Coimbra, Portugal. Camilo, T., Silva, J.S., Rodrigues, A., Boavida, F. (2007) Gensen: a topology generator for real wireless sensor networks deployment. Lecture Notes in Computer Science, 4761, 436–445. Capkun, S., Hamdi, M., Hubaux, J. (2001) GPS-free positioning in mobile ad-hoc network. In Proc. of the 34th Hawaii International Conference on System Sciences, 3481–3490, Maui, Hawaii, USA. Carter, G. (1981) Time delay estimation for passive sonar signal processing. IEEE Trans. on Acoustics, Speech, and Signal Processing, 29, 463–470. Carter, G. (1993) Coherence and time delay estimation, Piscataway, NJ, IEEE Press. Cerpa, A., Wong, J.L., Kuang, L., Potkonjak, M., Estrin, D. (2005) Statistical model of lossy links in wireless sensor networks, In Proc. of the 4th international symposium on Information processing in sensor networks, Piscataway, NJ, IEEE Press. Chan, Y.T., Ho, K.C. (1994) A simple and efficient estimator for hyperbolic location. IEEE Trans. on Signal Processing, 48, 1905–1915. Chaudhary, A.K.S., Tam, K.S., Phadke, A.G. (1994) Protection system representation in the electromagnetic transient program. IEEE Trans. on Power Delivery, 9, 700–711. Chen, C.M., Lee, C., Chuang, C.L., Wang C.C., Shieh, G.S. (2010) Inferring Genetic Interactions via A Nonlinear Model and An Optimization Algorithm. BMC Systems Biology, 4, 16. Chen, C.P., Chuang, C.L., Tseng, C.L., Yang, E.C., Jiang, J.A. (2009) A Novel Energy-Efficient Adaptive Routing Protocol for Wireless Sensor Networks. Journal of the Chinese Society of Mechanical Engineering, 30, 59–65. Chen, W., Mei, T., Meng, M.Q.H., Liang, H., Liu, Y., Li, Y., Li, S. (2008) Localization Algorithm Based on a Spring Model (LASM) for Large Scale Wireless Sensor Networks. Sensors, 8, 1797–1818. Cheng, D.K. (1989) Field and wave electromagnetic (2nd ed.), Addison-Wesley Publishing Company Inc. Cheng, H., Jia, X. (2005) An energy efficient routing algorithm for wireless sensor networks. In Proc. of 2005 International Conference on Wireless Communications, Networking and Mobile Computing, 2, 905–910, Wuhan, China. Chlebus, B.S. (2001) Randomized communication in radio networks. Handbook of Randomized Computing Vol. 1–2, Kluwer Academic Publishers, Dordrecht (2001), pp. 401–456. Chong, C.Y., Kumar, S.P. (2003) Sensor networks: Evolution, opportunities, and challenges. In Proc. of IEEE, 91, 1247–1256. Chou, J., Petrovic, D., Ramachandran, K. (2003) A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks. In Proc. IEEE INFOCOM 2003, 2, 1054–1062, San Francisco, CA, USA. Chuang, C.L., Chen, C.M., Shieh, G.S., Jiang, J.A. (2007) GeneCFE-ANFIS: A Neuro-Fuzzy Inference System to Infer Gene-Gene Interactions Based on Recognition of Microarray Gene Expression Patterns. Biomedical Engineering: Applications, Basis and Communications, 19 71–78. Chuang, C.L., Chen, C.M., Wong, W.S., Tsai, K.N., Chan, E.C., Jiang, J.A. (2009) A Robust Correlation Estimator and Nonlinear Recurrent Model to Infer Genetic Interactions in Saccharomyces cerevisiae and Pathways of Pulmonary Disease in Homo sapiens. BioSystems, 98, 160–175. Chuang, C.L., Hung, K., Chen, C.M., Shieh, G.S. (2009) Uncovering Transcriptional Interactions via An Adaptive Fuzzy Logic Approach. BMC Bioinformatics, 10, 400. Chuang, C.L., Jen, C.H., Chen, C.M., Shieh, G.S. (2008) A Pattern Recognition Approach to Infer time-lagged Genetic Interactions. Bioinformatics, 24, 1183–1190. Chuang, C.L., Jiang, J.A., Wang, Y.C., Chen, C.P., Hsiao, Y.T. (2007) An adaptive PMU-based fault location estimation system with a fault-tolerance and load-balancing communication network. In Proc. of the IEEE Power Engineering Society - Power Tech 2007, 1197–1202, Lausanne, Switzerland. Chuang, C.L., Wang, Y.C., Lee, C.H., Liu, M.Y., Hsiao, Y.T., Jiang, J.A. (2010) An adaptive routing algorithm over packet switching networks for operation monitoring of power transmission systems. IEEE Trans. on Power Delivery. (to appear) Chuang, C.L., Wu, J.H., Cheng, C.S., Shieh, G.S. (2010) WebPARE: Web-computing for inferring genetic/transcriptional interactions. Bioinformatics, 26, 582–584. Costa, J.A., Patwari, N., Hero, A.O. (2006) Distributed Weighted Multidimensional Scaling for Node Localization in Sensor Networks. ACM Trans. Sensor Netw., 2, 39–64. Crossbow Inc. (2003) Mica and mica2 wireless measurement system datasheets. Crippen, G.M., Havel, T.F. (1988) Distance geometry and molecular conformation, New York, John Wiley and Sons Inc. Cui, S., Goldsmith, A.J. (2005) Energy-constrained modulation optimization. IEEE Trans. Wireless Commun., 4, 2349–2360. Culler, D., Estrin, D., Srivastava, M. (2004) Overview of sensor networks. Computer, 37, 41–49. Dana, A.F., Hassibi, B. (2002) On the power-efficiency of sensory and ad-hoc wireless networks. IEEE Trans. Inform. Theory, 52, 2890–2914. Djuknic, G.M., Richton, R.E. (2001) Geolocation and Assisted GPS. Computer, 34, 123–125. Dogancay, K. (2005) Emitter localization using clustering-based bearing association. IEEE Trans. on Aerospace and Electronic Systems, 41, 525–536. Doherty, L., Pister, K.S.J., El Ghaoui, L. (2001) Convex position estimation in wireless sensor networks. In Proc. of IEEE INFOCOM 2001, 1655–1663, Anchorage, Alaska, USA. Elnahrawy, E., Li, X., Martin, R.P. (2004) The limits of localization using signal strength: A comparative study. In Proc. of 1st Annual IEEE Conference on Sensor and Ad-hoc Communications and Networks, 406–414, Santa Clara, CA, USA. Estrin, D., Culler, D., Pister, K., Sukhatme, G. (2002) Connecting the physical world with pervasive networks. IEEE Pervasive Comput., 1, 59–69. Fang, B.T. (1990) Simple solutions for hyperbolic and related position fixes. IEEE Trans. on Aerospace and Electronic Systems, 26, 748–753. Fox, V., Hightower, J., Lin, L., Schulz, D., Borriello, G. (2003) Bayesian filtering for location estimation. IEEE Pervasive Computing, 2, 24–33. Gezici, S., Tian, Z., Giannakis, G.B., Kobayashi, H., Molisch, A.F., Poor, H.V., Sahinoglu, Z. (2005) Localization via ultra-wideband radios: A look at positioning aspects for future sensor networks. IEEE Signal Processing Magazine, 22, 70–84. Goldsmith, A.J., Wicker, S.B. (2002) Design challenges for energy-constrained ad hoc wireless networks. IEEE Commun. Magazine, 9, 8–27. Gutiérrez, Á., González, C., Jiménez-Leube, J., Zazo, S., Dopico, N., Raos, I. (2009) A Heterogeneous Wireless Identification Network for the Localization of Animals Based on Stochastic Movements. Sensors, 9, 3942–3957. Haas, Z.J., Halpern, J.Y., Li, E. (2006) Gossip-based ad hoc routing. IEEE/ACM Trans. Networking, 14, 319–349. Halder, B., Viberg, M., Kailath, T. (1993) An efficient non-iterative method for estimating the angles of arrival of known signals. In Prof. of the 27th Asilomar Conference on Signals, Systems and Computers, 1396–1400, Pacific Grove, CA, USA. Han, K.H., Ko, Y.B., Kim, J.H. (2004) A novel gradient approach for efficient data dissemination in wireless sensor networks. In Proc. of the 60th Semiannual IEEE Vehicular Technology Conference, 4, 2979–2983, Los Angeles, USA. He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzher, T. (2003) Range-Free Localization Schemes for Large Scale Sensor Networks. In Proc. of the MobiCom, 81–95, San Diego, California, USA. Hecht, E. (1990) Optics, 2nd ed.; Addison Wesley: New York, NY, USA. Hedetniemi, S.M., Hedetniemi, S.T., Liestman, A.L. (1988) A survey of gossiping and broadcasting in communication networks. Networks, 18, 319–349. Heinzelman, W.R., Kulik, J., Balakrishnan, H. (1999) Adaptive protocols for information dissemination in wireless sensor networks. In Proc. of the International Conference on Mobile Computing and Networking (MobiCom) 1999, 174–185, Washington, USA. Heinzelman, A., Chandrakasan, A., Balakrishnan, H. (2000) Energy-efficient communication protocol for wireless microsensor networks. In Proc. of the 33rd Annual Hawaii International Conference on System Sciences, 2, 10, Hawaii, USA. Hsiao, Y.T., Chuang, C.L., Lu Y.L., Jiang, J.A. (2006) Robust Multiple Objects Tracking Using Image Segmentation and Trajectory Estimation Scheme in Video Frames. Image and Vision Computing, 24, 1123–1136. Hu, L., Evans, D. (2004) Localization for Mobile Sensor Networks. In Proc. of the MobiCom, 45–47, Philadelphia, Pennsylvania, USA. Hu, Y., Perrig, A., Johnson, D. (2003) Packet leashes: A defense against wormhole attacks in wireless ad hoc networks. In Proc. of the INFOCOM, 1976–1986, San Franciso, CA, USA. Ihler, A.T., Fisher, J.W.III, Moses, R.L., Willsky, A.S. (2005) Nonparametric belief propagation for self-localization of sensor networks. IEEE Journal on Selected Areas in Communications, 23, 809–819. Intanagonwiwat, C., Govindan, R., Estrin, D. (2000) Directed diffusion: a scalable and robust communication paradigm for sensor networks. In Proc. of the International Conference on Mobile Computing and Networking (MobiCom) 2000, 56–67, Boston, USA. Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., Silva, F. (2003) Directed diffusion for wireless sensor networking. IEEE/ACM Trans. on Networking, 11, 2–16. Jayasinghe, J.A.S.B., Aggarwal, R.K., Johns, A.T., Bo, Z.Q. (1998) A novel nonunit protection for series compensated EHV transmission lines based on fault generated high frequency voltage signals. IEEE Trans. on Power Delivery, 13, 405–413. Ji, X., Zha, H. (2004) Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling. In Proc. of the IEEE INFOCOM 2004, 2652–2661, Hong Kong, China. Jian, L., Halder, B., Stoica, P., Viberg, M. (1995) Computationally efficient angel estimation for signals with known waveforms. IEEE Trans. on Signal Processing, 43, 2154–2163. Jiang, J.A., Chen, C.P., Chuang, C.L., Lin, T.S., Tseng, C.L., Yang, E.C., Wang, Y.C. (2009) CoCMA: Energy-Efficient Coverage Control in Cluster-based Wireless Sensor Networks using a Memetic Algorithm. Sensors, 9, 4918–4940. Jiang, J.A., Chen, C.S., Liu, C.W. (2003) Closure to discussion of a new protection scheme for fault detection, direction discrimination, classification, and location in transmission lines. IEEE Trans. on Power Delivery, 18, 653–655. Jiang, J.A., Chuang, C.L., Lin, T.S., Chen, C.P., Hung, C.H., Wang, J.Y., Liu C.W., Lai, T.Y. (2010) Collaborative Localization in Wireless Sensor Networks via Pattern Recognition in Radio irregularity using Omnidirectional Antennas. Sensors, 10, 400–427. Jiang, J.A., Chuang, C.L., Lu Y.L., Fahn, C.S. (2007) Mathematical-Morphology-Based Edge Detector for Detection of Thin Edges in Low Contrast Regions. IET Image Processing, 1, 269–277. Jiang, J.A., Lin, Y.H., Yang, J.Z., Too, T.M., Liu, C.W. (2000) An adaptive PMU based fault detection/location technique for transmission lines, part II: PMU implementation and performance evaluation. IEEE Trans. on Power Delivery, 5, 1136–1146. Jin, C., Chen, Q., Jamin, S. (1995) Inet: Internet topology generator. University of Michigan Technical Report, Research Report CSE-TR-433-00, 2000. Kannan, A.A., Mao, G., Vucetic, B. (2005) Simulated annealing based localization in wireless sensor network. In Proc. of the 30th IEEE Conference on Local Computer Networks, 513–514, Sydney, Australia. Kannan, A.A., Mao, G., Vucetic, B. (2006) Simulated annealing based wireless sensor network localization with flip ambiguity mitigation. In Proc. of the 63rd IEEE Vehicular Technology Conference, 1022–1026, Melbourne, Australia. Kansal, A., Hsu, J., Zahedi, S., Srivastava, M.B. (2007) Power management in energy harvesting sensor networks. Transaction on Embedded Computing Systems, 6, 120–158. Kleinrock, L. (1976) Queueing Systems (vol. 2). New York Wiley, 119–126. Kliger, D.S. (1990) Polarized Light in Optics and Spectroscopy. Academic Press: San Diego, SD, USA. Knapp, C., Carter, G. (1976) The generalized correlation method for estimation of time delay. IEEE Trans. on Acoustics, Speech, Signal Processing, 24, 320–327. Koks, D. (2005) Numerical calculations for passive geolocation scenarios. (No. DSTO-RR-0319). Defence Science and Technology Organization, Edinburgh, SA, Australia. Kubisch, M., Karl, H., Wolisz, A., Zhong, L.C., Rabary, J. (2003) Distributed algorithms for transmission power control in wireless sensor networks. IEEE Wireless Communications and Networking, 1, 558–563. Kwon, O.-H., Song, H.-J. (2008) Localization through map stitching in wireless sensor networks. IEEE Trans. on Parallel and Distributed Systems, 19, 93–105. Lazos, L., Poovendran, R. (2003) Energy-aware secure multicast communication in ad-hoc networks using geographic location information. In Proc. of the ICASSP, 201–204, Hong Kong, China. Lee, J.-Y., Scholtz, R.A. (2002) Ranging in a dense multipath environment using an UWB radio link. IEEE Journal on Selected Areas in Communications, 20, 1677–1683. Li, J., Andrew, L.L., Foh, C.H., Zukerman, M., Chen, H.H. (2009) Connectivity, Coverage and Placement in Wireless Sensor Networks. Sensors, 9, 7664–7693. Li, J., Blake, C., De Couto, D.S.J., Lee, H.I., Morris, R. (2001) Capacity of ad hoc wireless networks. In Proc. of the International Conference on Mobile Computing and Networking (MobiCom) 2001, 61–69, Rome, Italy. Li, X. (2006) RSS-based location estimation with unknown pathloss model. IEEE Trans. Wireless Commun., 5, 3626–3633. Li, X. (2007) Collaborative localization with received-signal strength in wireless sensor networks. IEEE Trans. Vehicular Technology, 56, 3807–3817. Li, X.; Pahlavan, K. (2004) Super-resolution TOA estimation with diversity for indoor geolocation. IEEE Trans. Wireless Commun., 3, 224–234. Lian, B., Salama, M.M.A. (1994) An overview of digital fault location algorithm for power transmission lines using transient waveforms. Elect. Power Syst. Res., 29, 17–25, 1994. Lien, K. P., Liu, C. W., Yu, C. S., Jiang, J. A. (2006) Transmission network fault location observability with minimal PMU placement. IEEE Trans. on Power Delivery, 21, 1128–1136. Lin, S., Zhang, J., Zhou, G., Gu, L., Stankovic, J.A., He, T. (2006) Atpc: adaptive transmission power control for wireless sensor networks. In Proc. of ACM Conference on Embedded Networked Sensor Systems, 223–236, Colorado, USA. Lindsey, S., Raghavendra, C. (2002) PEGASIS: power-efficient gathering in sensor information systems. In Proc. of the IEEE Aerospace Conference 2002, 3, 1125–1130, Big Sky, Montana, USA. Lu, F., Chia, L.T., Tay, K.L., Chong, W.H. (2008) NBgossip: an energy-efficient gossip algorithm for wireless sensor networks. Journal of Computer Science and Technology, 23, 426–437. Lu, Y.L., Chuang, C.L., Fahn C.S., Jiang, J.A. (2008) Multiple Disturbance Classifier for Electric Signals using Adaptive Structuring Neural Networks. Measurement Science and Technology, 19, 075106. Madigan, D., Einahrawy, E., Martin, R.P., Ju, W.-H., Krishnan, P., Krishnakumar, A.S. (2005) Beyesian indoor positioning system. In Proc. of the IEEE INFOCOM 2005, 1217–1227, Miami, FL, USA. Martinez, K, Hart, J.K., Ong, R. (2004) Environmental sensor networks. Computer, 37, 50–56. Medina, A., Lakhina, A., Matta, I., Byers, J. (2001) Brite: universal topology generation from a user’s perspective. Boston University Technical Report, BU-CS-TR-2001-003, April, 2005. Mamun-or-Rashid, M., Mahbub Alam, M., Hong, C.S. (2007) Energy conserving passive clustering for efficient routing in wireless sensor network. In Proc. of the 9th International Conference on Advanced Communication Technology, 2, 982–986, Gangwon-Do, Korea. Manjeshwar, A., Agrawal, D.P. (2001) TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In Proc. of the 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, 2009–2015, San Francisco, CA, USA. McCrady, D., Doyle, L., Forstrom, H., Dempsey, T., Martorana, M. (2000) Mobile ranging using low-accuracy clocks. IEEE Trans. on Microwave Theory and Tech., 48, 951–958. Mirza, M.A., Garimella, R. (2009) PASCAL: power aware sectoring based clustering algorithm for wireless sensor networks. In Proc. of the 23rd International conference on Information Networking, 1–6, Chiang Mai, Thailand. Mirza, M.A., Mohed, A.F., Garimella, R. (2008) Energy efficient sectoring based routing in wireless sensor networks for delay constrained applications: a mixed approach. In Proc. of IEEE Region 10 Conference 2008, 1–6, Hyderabad, India. Niculescu, D., Nath, B. (2001) Ad hoc positioning system (APS). In Proc. of IEEE GLOBECOM 2001, 2926–2931. Niculescu, D., Nath, B. (2003) Localized positioning in ad hoc networks. In Proc. of IEEE International Workshop on Sensor Network Protocols and Applications, 42–50, Anchorage, AK, USA. Onvural, R.O. (1995) Asynchronous transfer model networks. Artech House, 112–117. Orecchia, L., Panconesi, A., Petrioli, C., Vitaletti, A. (2004) Localized techniques for broadcasting in wireless sensor networks. In Proc. of the International Conference on Mobile Computing and Networking (MobiCom) 2004, 41–51, Philadelphia, PA, USA. Pahlavan, K., Levesque, A. (1995) Wireless Information Networks; John Wiley & Sons, Inc.: New York, NY, USA. Pahlavan, K., Li, X., Makela, J. (2002) Indoor geolocation science and technology. IEEE Commun. Mag., 40, 112–118. Patwari, N., Ash, J.N., Kyperountas, S., Hero, A.O.,III, Moses, R.L., Correal, N.S. (2005) Locating the nodes: cooperative localization in wireless sensor networks. IEEE Signal Proccessing Magazine, 22, 54–69. Paulraj, A., Roy, R., Kailath, T. (1986) A subspace rotation approach to signal parameter estimation. Proceedings of the IEEE, 74, 1044–1046. Pei, Z., Deng, Z., Xu, S., Xu, X. (2009) Anchor-Free Localization Method for Mobile Targets in Coal Mine Wireless Sensor Networks. Sensors, 9, 2836–2850. Pottie, G.J., Kaiser, W.J. (2000) Wireless Integrated Network Sensors. Comm. ACM, 43, 51–58. Prasithsangaree, P., Krishnamurthy, P., Chrysanthis, P. (2002) On indoor position location with wireless LANs. In Proc. of the 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communication, 720–724, Lisboa, Portugal. Priyantha, N.B., Chakraborty, A., Balakrishnan, H. (2000) The Cricket Location-Support System. In Proc. of the MobiCom, 32–43, Boston, Massachusetts, USA. Rabaey, J.M., Ammer, M.J., da Silva, Jr., J.L., Patel, D., Roundy, S. (2002) PicoRadio supports ad hoc ultra-low power wireless networking. Computer, 33, 42–48. Rappaport, T.S., Reed, J.H., Woerner, B.D. (1996) Position location using wireless communication on highways of the future. IEEE Communications Magazine, 34, 33–41. Ray, S., Lai, W., Paschalidis, I.C. (2005) Deployment optimization of sensor net-based stochastic location-detection systems. In Proc. of the IEEE INFORCOM 2005, 2279–2289, Miami, FL, USA. Romer, K. (2003) The lighthouse location system for smart dust. In Proc. of MobiSys 2003 (ACM/USENIX Conference on Mobile Systems, Applications, and Services), 15–30, San Francisco, CA, USA. Roos, T., Myllymaki, P., Tirri, H. (2002) A statistical modeling approach to location estimation. IEEE Trans. on Mobile Computing, 1, 59–69. Roy, R., Kailath, T. (1989) ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans. on Acoustics, Speech, and Signal Processing, 37, 984–995. Rudafshani, M., Datta, S. (2007) Localization in Wireless Sensor Networks. In Proc. of the Int’l Conf. Information Processing in Sensor Networks, 51–60, Cambridge, Massachusetts, USA. Santi, P. (2003) Topology control in wireless ad hoc and sensor networks. Istituto di Informatica e Telematica, Technical Report IIT-TR-04, Pisa, Italy. Savarese, C., Rabaey, J.M., Beutel, J. (2001) Locationing in distributed ad-hoc wireless sensor networks. In Proc. the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2037–2040, Washington, DC, USA. Savvides, A., Han, C., Strivastava, M. (2001) Dynamic fine-grained localization in ad-hoc networks of sensors. Mobicom, 166–179. Schmidt, R. (1986) Multiple emitter location and signal parameter estimation. IEEE Trans. on Antennas and Propagation, 34, 276–280. Schurgers, C., Srivastava, M.B. (2001) Energy efficient routing in wireless sensor networks. In Proc. of the IEEE Military Communications Conference 2001 (MILCOM 2001), 1, 357–361, Washington, D.C., USA. Shang, Y., Ruml, W., Zhang, Y., Fromherz, M. (2004) Localization from Connectivity in Sensor Networks. IEEE Trans. Parallel Distrib. Syst., 15, 961–974. Sheu, J.P., Chen, P.C., Hsu, C.S. (2008) A Distributed Localization Scheme for Wireless Sensor Networks with Improved Grid-Scan and Vector-Based Refinement. IEEE Mobile Comput., 7, 1110–1123. Sheu, J.P., Li, J.M., Hsu, C.S. (2006) A Distributed Location Estimating Algorithm for Wireless Sensor Networks. In Proc. of the Int’l Conf. Sensor Networks, Ubiquitous, and Trustworthy Computing, 218–225, Taichung, Taiwan. Shih, E., Cho, S., Ickes, N., Min, R., Shiha, A., Wang, A., Chandrakasan, A. (2001) Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In Proc. International Conference on Mobile Computing and Networking, 272–287, Rome, Italy. Smith, J., Abel, J. (1987) The spherical interpolation method of source localization. IEEE Journal of Oceanic Engineering, 12, 246–252. Son, D., Krishnamachari, B., Heidemann, J. (2004) Experimental study of the effects of transmission power control and blacklisting in wireless sensor networks. In Proc. of the 1st IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 289–298, Santa Clara, Canada. Son, D., Krishnamachari, B., Heidemann, J. (2006) Experimental study of concurrent transmission in wireless sensor networks. In Proc. of ACM Conference on Embedded Networked Sensor Systems, 237–250, Boulder, USA. Spiegel, M.R. (1992) Theory and Problems of Probability and Statistics; McGraw-Hill: New York, NY, USA. pp. 114–115. Tang, B., Wang, Y., Zhou, M. (2007) Energy-balanced cluster range control algorithm for wireless sensor networks. In Proc. of International Conference on In Wavelet Analysis and Pattern Recognition, 1, 1–6, Beijing, China. Tayem, N., Kwon, H.M. (2004) Conjugate esprit (C-SPRIT). IEEE Trans. on Antennas and Propagation, 52, 2618–2624. Teng, G., Zheng, K., Dong, W. (2009a) Adapting mobile beacon-assisted localization in wireless sensor networks. Sensors, 9, 2760–2779. Teng, G., Zheng, K., Dong, W. (2009b) An Efficient and Self-Adapting Localization in Static Wireless Sensor Networks. Sensors, 9, 6150–6170. Too, T.M., Jiang, J.A., Yang, J.Z., Lin, Y.H., Liu, C.W. (2001) Design, implementation and field tests for performance evaluations of a brand-new phasor measurement unit based on global positioning system. Journal of the Chinese Institute of Electrical Engineering, 8, 103–118. Verbist, F., Festjens, N., Steenhaut, K., Nowe, A. (2006) Hop count discovery protocol for gradient based routing in wireless sensor networks. In Proc. of the 1st International Conference on Communications and Electronics, 102–105, Hanoi, Vietnam. Wattenhofer, R., Zollinger, A. (2007) Xtc: a practical topology control algorithm for ad-hoc networks. In Proc. of the 8th International Symposium on Autonomous Decentralized Systems 2007, 508–518, Sedona, Arizona, USA. Xing, G., Lu, C., Pless R. (2007) Localized and configurable topology control in lossy wireless sensor networks. In Proc. of the 16th International Conference on Computer Communications and Networks, 75–80, Honolulu, Hawaii, USA. Xing, G., Sha, M., Hackmann, G., Klues, K., Chipara, O., Lu, C. (2008) Towards unified radio power management for wireless sensor networks. Wireless Communication and Mobile Computing, 9, 1–11. Xu, Y., Bien, S., Mori, Y., Heidemann, J., Estrin, D. (2008) Topology control protocols to conserve energy in wireless ad hoc networks. University of California Technical Report, Technical Report 6, January, 2003. Yu, Y., Estrin, D., Govindan, R. (2001) Geographical and energy-aware routing: a recursive data dissemination protocol for wireless sensor networks. UCLA Computer Science Department Technical Report, TR-01-0023, 1–11, May 2001. Zhao, J., Govindan, R. (2003) Understanding packet delivery performance in dense wireless sensor networks. In Proc. of the 1st International Conference on Embedded Networked Sensor Systems, 1–13, Los Angeles, CA, USA. Ziskind, I., Wax, M. (1988) Maximum likelihood localization of multiple sources by alternating projection. IEEE Trans. on Acoustics, Speech, and Signal Processing, 36, 1553–1560. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44929 | - |
| dc.description.abstract | 無線感測器網路(WSNs)是由多個同時具有感測、計算與無線通訊功能之裝置(或稱感測節點)所構成。因為無線感測節點體積輕薄短小，無線感測器網路快速地衍生成可用於各種監控應用。然而，由於無線感測節點所搭載之電源珍貴且有限，如何使整體網路之運作時間延長則成為一個重要的課題。在本論文中，吾人將探討三個WSN相關領域的問題，包含：高能源效率之路由繞徑演算法、無線電強度動態調整，以及無線感測節點定位系統。前兩個主題之主要研究目的在延長整體網路運作時間，第三個主題則提出一套旋轉天線機構，並搭配以高準確度定位演算法進行感測節點之定位。因為無位址資訊之感測資料在分析上並不具任何意義，這更使定位系統在WSN應用中更顯得特別重要。
在第二章中，吾人提出一套可適性路由繞徑演算法，其包含兩大部分：自動網路拓墣生成法與感測資料封包之傳遞。每個在運作中的感測節點皆如路由器，可分散式決定傳遞感測資料之最有效率傳輸路徑，並且可平衡網路各感測節點之資料傳輸量與耗電量，以延長網路之可運作時間。另外，為了展現本可適性路由繞徑演算法在不同種網路平台之適用性，吾人亦將此演算法套用於以分封交換網路與WSN共同構成之混合式網路進行效能測試。 在第三章中，吾人提出一個動態電波強度控制法。WSN之主要耗電來源是無線通訊之電波傳輸所使用之能量，本章節中，吾人整合此動態電波強度控制法於第二章所提出之可適性路由繞徑演算法，以節省感測節點之耗電量，並且減少被孤立之感測節點的產生。但為了使這些演算法更有效地運用在實際的WSN應用，開發一套高精確性之感測節點定位系統是不可或缺的。 在第四章中，吾人提出一套以訊號強度指標(RSSI)為基礎之感測節點定位系統。此系統之主要創新之處，是利用無線電波訊號在空間中之不規則特徵來進行系統的設計。首先，吾人設計一套旋轉天線平台架設於參照節點上，並使一組全向性天線在水平軸上進行旋轉。透過吾人開發之可適性估測法來分析定位感測節點與參照節點間的RSSI模式，可直接算得其相對角度與距離。另外，吾人亦延伸此系統進行多重參照節點之協同定位工作，並且提供更高精準度之定位結果。 所有上述之演算法皆透過電腦模擬與實際測試來進行效果評估。實驗結果顯示本文提出之方法在效能與準確度上優於過去已知之演算法。 | zh_TW |
| dc.description.abstract | Wireless sensor networks (WSNs), which is formed by numerous sensing devices (or called sensor nodes) capable of computing and wireless communication. Due to the compact size of the sensor nodes, WSNs have soon becoming a revolutionary technology suitable with applications in wide areas of interest. However, limited energy supply in each sensor node brought new challenges and operational problems to the field of distributed and collaborative information processing in WSNs. In this dissertation, we concentrate on three essential problems within this extensive topic, including energy-efficient routing protocol, dynamic radio power control and two-dimensional sensor node localization. The first two topics emphasize on efficient use of limited energy in each sensor node. The primary goal is to prolong the network lifetime. The later part of this dissertation presents a rotational antenna configuration for accurate localization of sensor nodes. Localization is an essential function since it is meaningless to collect sensor data without knowing the position of the event.
In Chapter 2, an adaptive routing protocol was presented to construct network topology and transmit sensor data to the sink. Each node acts as an independent router. Due to this key feature, the proposed routing algorithm determines the path to transmit data packets from its source nodes to the destination node (sink) with minimum delay time, and also balances the power consumption of all sensor nodes in the network. The routing protocol also applied to a hybrid network that consists of packet switching network and WSN to show its wide applicability in various types of networks. A dynamic radio power control method is proposed in Chapter 3. Radio transmissions are major sources of energy consumption in WSNs. In order to reduce redundant power consumptions and to prevent generating any orphan nodes in the WSN, a dynamic radio power management mechanism was developed to collaborate with the energy-efficient routing protocol proposed in Chapter 2. To maximize the merit of the radio power control, developing an accurate localization method for sensor nodes in a WSN is necessary. In Chapter 4, an RSSI-based collaborative localization method that makes use of the irregularity of the EM wave is proposed. First, we coupled external low-cost omnidirectional antennas with sensor nodes and reference nodes using specific antenna configurations. The omnidirectional antenna of the reference node rotates in the horizontal plane to measure the RSSI pattern between the sensor node and the reference node to estimate their relative angular direction and distance. A robust estimation technique is also presented to analyze the RSSI patterns obtained by the reference node. The proposed algorithm is thus able to provide the localization results with higher precision. In addition, a collaborative localization scheme is presented to integrate the information obtained by multiple reference nodes. All presented methods are evaluated via computer simulation and/or real-world field test. The experimental results show that the proposed algorithm outperforms existing algorithms with better performance in terms of energy efficiency and localization accuracy. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T03:58:37Z (GMT). No. of bitstreams: 1 ntu-99-D94631002-1.pdf: 4700135 bytes, checksum: e891ae3f9c1d1e60ce06a6c263b5261f (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
Acknowledgements (Chinese) ii Abstract (Chinese) iv Abstract vi Table of Contents viii List of Illustrations x List of Tables xiii Chapter 1. Introduction 1 1.1 Overview 1 1.1.1 Single-hop networks 2 1.1.2 Multi-hop networks 3 1.2 OSI model 6 1.3 Radio options for the physical layer in WSNs 9 1.3.1 IEEE 802.11 9 1.3.2 Bluetooth (IEEE 802.15.1 and IEEE 802.15.2) 10 1.3.3 IEEE 802.15.4 10 1.3.4 ZigBee 11 1.3.5 IEEE 1451.5 12 1.4 Literature review: optimal routing in WSNs 12 1.5 Literature review: localization in WSNs 16 1.6 Motivations 20 1.6.1 Energy efficient routing in WSNs 20 1.6.2 Sensor node localization in WSNs 21 1.7 Research contributions 22 1.7.1 Distributed energy-efficient routing protocol for WSNs 22 1.7.2 Centralized cooperative localization algorithm for WSNs 23 1.8 Organization of the dissertation 23 Chapter 2. Automatic Topology Generator and Energy Efficient Routing Protocol 25 2.1 Overview 25 2.2 Network configuration 27 2.3 The proposed protocol 28 2.3.1 Gradient-based topology generator 28 2.3.2 Energy-efficient adaptive routing algorithm 30 2.4 Simulation results 32 2.4.1 Network properties and initialization 32 2.4.2 Simulation – Scenario 1 34 2.4.2 Simulation – Scenario 2 36 2.4.3 Summary of the simulation results 38 2.5 Application: adaptive routing on networks for operation monitoring of power transmission systems 38 2.5.1 Operation monitoring of power transmission systems 39 2.5.2 Communication Model 44 2.5.3 Test sample of power transmission systems 49 2.5.4 Performance evaluation 50 2.5.5 Summary of the simulation results 58 2.6 Summary 59 Chapter 3. Transmission Power Control 61 3.1 Overview 61 3.2 System and method 64 3.2.1 Configuration of sensor nodes 64 3.2.2 Radio signal attenuation model 65 3.3 Experimental results 68 3.4 Summary 71 Chapter 4. Localization of Sensor Nodes in WSNs 72 4.1 Overview 72 4.2 Problem formulation 75 4.2.1 Network configuration 75 4.2.2 Configuration of external antennas 77 4.2.3 Theoretical justification of antenna configurations 78 4.2.4 RSSI pattern 84 4.3 Localization using robust correlation estimator 85 4.4 Collaborative localization scheme using multiple reference nodes 91 4.5 Experimental results 92 4.5.1 Performance evaluations using computer simulations 94 4.5.2 Performance evaluations in real-world scenarios 98 4.6 Summary 105 Chapter 5. Conclusions and possible future works 108 References 111 | |
| dc.language.iso | en | |
| dc.subject | 感測節點定位 | zh_TW |
| dc.subject | 無線感測器網路 | zh_TW |
| dc.subject | 節能 | zh_TW |
| dc.subject | 路由繞徑演算法 | zh_TW |
| dc.subject | 無線電波節能控制 | zh_TW |
| dc.subject | Radio Power Control | en |
| dc.subject | Energy-efficient | en |
| dc.subject | Wireless sensor network | en |
| dc.subject | Localization | en |
| dc.subject | Routing protocol | en |
| dc.title | 無線感測器網路的動態路由繞徑演算法與高準確度定位系統之研究 | zh_TW |
| dc.title | Study on optimal energy-efficient routing algorithm and high-precision localization system in wireless sensor networks | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 林達德,劉志文,艾群,蕭瑛東,范丙林,王永鐘 | |
| dc.subject.keyword | 無線感測器網路,節能,路由繞徑演算法,無線電波節能控制,感測節點定位, | zh_TW |
| dc.subject.keyword | Wireless sensor network,Energy-efficient,Routing protocol,Radio Power Control,Localization, | en |
| dc.relation.page | 123 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-05-18 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
| 顯示於系所單位： | 生物機電工程學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-99-1.pdf 未授權公開取用 | 4.59 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。