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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 賴飛羆(Fei-Pei Lai) | |
dc.contributor.author | Arn-Min Cheng | en |
dc.contributor.author | 鄭昂旻 | zh_TW |
dc.date.accessioned | 2021-06-13T16:51:58Z | - |
dc.date.available | 2006-07-04 | |
dc.date.copyright | 2005-07-04 | |
dc.date.issued | 2005 | |
dc.date.submitted | 2005-06-21 | |
dc.identifier.citation | [1] Tai Yu and Kemal E. Tepe, “Simulation Comparison of Hierarchical and Flat Ad Hoc Networks,” 22nd Biennial Symposium on Communications. Canada, 2004.
[2] M. Stemm and R. H. Katz, “Measuring and reducing energy consumption of network interfaces in hand-held devices,” IEICE Tran. on Communications, E80-B(8):1125-1131, Aug. 1997. [3] O. Kasten, “Energy Consumption,” ETH-Zurich, Swiss Federal Institute of Technology, 2001. [4] The editors of IEEE 802.11, “Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification,” 1997. [5] Yu-Chee Tseng, Chin-Shun Hsu, and Ten-Yueng Hsieh, 'Power-Saving Protocols for IEEE 802.11-Based Multi-Hop Ad Hoc Networks,' IEEE Proc. on INFOCOM, June. 2002. [6] J.-R. Jiang, Y.-C. Tseng, C.-S. Hsu, and T.-H. Lai, “Quorum-Based Asynchronous Power-Saving Protocols for IEEE 802.11 Ad Hoc Networks,” ACM Mobile Networking and Applications (MONET), 2005. [7] D. Hall, “Mathematical Techniques in Multisensor Data Fusion,” Artech House, 1992. [8] L. Klein, “Sensor and Data Fusion Concepts and Applications,” SPIE Optical Engineering Press, 1993. [9] A. Misra and S. Benerjee, “MRPC: Maximizing Network Lifetime for Reliable routing in Wireless Environments,” WCNC2002., pp. 800-806, Mar. 2002. [10] J. Chang and L. Tassiulas, “Energy Conserving Routing in Wireless Ad-Hoc Networks,” IEEE INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. Vol. 1, pp. 22-31, Mar. 2000. [11] S. Singh and C. S. Raghavendra, “PAMAS – Power Aware Multi-Access protocol with Signaling for Ad Hoc Networks,” ACM Computer Communication Review, July 1998. [12] S. Singh and C. S. Raghavendra, “Power-Aware Routing in Mobile Ad Hoc Networks,” in Proceedings of ACM/IEEE MOBICOM, October 1998. [13] H. Singh and S. Singh, “Energy Consumption of TCP Reno, Newreno, and SACK in Multi-Hop Wireless Networks,” Proceedings of the 2002 ACM SIGMETRICS, 2002. [14] H. Singh, S. Saxena, and S. Singh, 'Energy Consumption of TCP in AD Hoc Networks,' Wireless Networks, Vol.10, Issue 5, pp. 531-542, 2004 [15] Y. Xu, J. Heidemann, and D. Estrin, 'Geography-informed energy conservation for Ad Hoc Routing,' in the Proceedings of the 7th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom’01), Rome, Italy, July 2001 [16] Yan Yu, Ramesh Govindan and Deborah Estrin, “Geographical and Energy Aware Routing: A Recursive Data Dissemination Protocol for Wireless Sensor Networks,” UCLA Computer Science Department Technical Report UCLA/CSD-TR-01-0023, May 2001. [17] B. Karp and H. T. Kung, “GPSR: Greedy perimeter stateless routing for wireless sensor networks,” in the Proceedings of the 6th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom '00), Boston, MA, August 2000 [18] E. L. Lloyd, R. Liu, M. V. Marathe, R. Ramanathan, S. S. Ravi, “Algorithmic aspects of topology control problems for ad hoc networks,” Proc. 3rd ACM International Symposium on Mobile Ad Hoc Networking and Computing, 123-134. ACM, New York, NY, 2002. [19] R. Rajaraman, “Topology control and routing in ad hoc networks: A survey,” ACM SIGACT News 33:2, 60-73, June 2002 [20] W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, 'Energy-efficient communication protocol for wireless sensor networks,' in the Proceeding of the Hawaii International Conference System Sciences, Hawaii, January 2000. [21] A. Manjeshwar and D. P. Agrawal, “TEEN: A Protocol for Enhanced Efficiency in Wireless Sensor Networks,' in the Proceedings of the 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, San Francisco, CA, April 2001. [22] A. Manjeshwar and D. P. Agrawal, 'APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks,' in the Proceedings of the 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile computing, Ft. Lauderdale, FL, April 2002. [23] C. Intanagonwiwat, R. Govindan and D. Estrin, 'Directed Diffusion: A scalable and robust communication paradigm for sensor networks', in the Proceedings of the 6th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom'00), Boston, MA, August 2000. [24] Ossama Younis and Sonia Fahmy, “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad-hoc Sensor Networks,” IEEE Transactions on Mobile Computing, volume 4, issue 4, Oct-Dec 2004. [25] Crossbow, “Mica2 wireless measurement system datasheet,” 2003. [26] H. T. Friis., “A Note on A Simple Transmission Formula,” Proc. IRE, 34, 1946. [27] T. S. Rappaport, “Wireless communications, principles and practice,” Prentice Hall, 1996. [28] Wendi B. Heinzelman, Anantha P. Chandrakasan, and Hari Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Transactions on Wireless Communications, Vo.l 1, No. 4, Oct 2002. [29] OMNeT++ Discrete Event Simulation System, http://www.omnetpp.org/ | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/38909 | - |
dc.description.abstract | 無線網路在近幾年有著非常快速的發展,大多的無線裝置或手持式系統是由電池來供應電源。因此,電源消耗的多寡大大影響了整個系統的生命週期。在這篇論文中,我們提出一個低功率無線感測網路架構,利用每一個單一感測網路節點有數個不同發送功\\\率的特性,搭配階層以及叢集的概念,使得網路拓撲不再一定像以往一樣需要是均勻分布,而卻能夠因應該區域節點實際分布情況,分成數個涵蓋大小不一的叢集,且每個叢集之間彼此相互連通。此外,每個叢集會依據節點的移動速度,剩餘電量,以及叢集間傳送訊息所需要消耗的功\\\率,選出適當的叢集閘道,並決定以其為首的叢集涵蓋範圍之所需要的最小發射功\\\率,來負責建構出整個以叢集為基礎之網路骨架。而非叢集閘道之節點可以依據本身與叢集閘道之間的距離,選擇其傳送資料的最小傳送功率,並在累計一定閒置時間之後而進入休眠模式,來節省不必要的電量的消耗。 | zh_TW |
dc.description.abstract | To extend the lifetime of the wireless sensor network, the technique of clustering is an effective way to achieve the power conservation, network scalability and load balance. In this paper, we propose the architecture of the wireless sensor network with multiple levels of transmission power and take advantage the concept of hierarchy and clustering to have different cluster ranges among the chosen clusterheads. A network with clusters of different ranges of the covered area can have better topology control for reducing the unnecessary interference and save large amount of energy. Moreover, it can also improve the network load balance for the condition of non-homogeneous dispersion of sensor nodes. Meanwhile, each cluster will choose the clusterhead in accordance with the moving speed, residual energy, intra-cluster communication cost and decide the minimum power of the cluster range for the clusterhead to cover the entire cluster area of which it takes charge. On the other hand, the non-clusterheads can choose its own minimum transmission power level according to the distance between itself and the clusterhead. In addition, the non-clusterheads will enter sleeping state after a period of idle time to save the unnecessarily wasted power.In addition, we also investigate the tradeoff between energy consumption and throughput for the cluster-based hierarchical model with one-hop model and multi-hop model inside a cluster. Also we provide an adaptive hand-over mechanism for the re-election of the clusterhead which can prolong the network lifetime. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T16:51:58Z (GMT). No. of bitstreams: 1 ntu-94-R92921021-1.pdf: 1271425 bytes, checksum: 11c91f42a484d60ef43c9c0df583b41a (MD5) Previous issue date: 2005 | en |
dc.description.tableofcontents | Chapter 1 1
Introduction 1 1.1 Wireless Sensor Network 2 1.2 The Origin of Sensor Network 2 1.3 Characteristics of Sensor Network 4 1.4 Motivation 6 1.5 Thesis Organization 8 Chapter 2 9 Background and Related Work 9 2.1 Low Power Designs at Different Layers 9 2.1.1 Power Saving at the Data-Link Layer 9 2.1.2 Power Saving at the Network Layer 12 2.1.3 Power Saving at the Transport Layer 12 2.2 Location Based Energy Aware Protocols 13 2.2.1 Geographic Adaptive Fidelity (GAF) 13 2.2.2 Geographic and Energy Aware Routing (GEAR) 15 2.3 Clustering Based Energy Aware Protocols 18 2.3.1 The Concept of Clustering Networks 18 2.3.2 Topology Control 19 2.3.3 Cluster Formation 21 2.3.4 Low-Energy Adaptive Clustering Hierarchy (LEACH) 22 2.3.5 Threshold-sensitive Energy Efficient Sensor Network Protocol 23 2.3.6 Hybrid Energy-Efficient Distributed Clustering (HEED) 25 Chapter 3 27 Proposed Low Power Adaptive Wireless Sensor Network Architecture 27 3.1 Dynamic Cluster Range Selection Phase 28 3.2 Clusterhead Cost Computation Phase 31 3.3 Cluster Formation Phase 32 3.4 Node State Transition and Re-election Mechanism 34 3.5 Routing Model 39 3.6 Mobility 40 Chapter 4 42 Experimental Results 42 4.1 Radio and Energy Models 42 4.1.1 Radio Propagation Model 42 4.1.2 Energy Consumption Model 44 4.2 Simulation Environment and Parameters 47 4.2.1 Simulator 47 4.2.2 Simulation Parameters 48 4.3 Cluster Formation Results Analysis 49 4.4 Power Consumption and Network Lifetime 53 4.5 Network Performance 57 Chapter 5 60 Conclusion 60 Bibliography 61 | |
dc.language.iso | en | |
dc.title | 以叢集演算法為基礎之低功率調適性無線感測網路協定架構 | zh_TW |
dc.title | Clustering-Based Low Power Adaptive Wireless Sensor Network Protocol Architecture | en |
dc.type | Thesis | |
dc.date.schoolyear | 93-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 鄭士康(Shyh-Kang Jeng),廖婉君(Wan-Jiun Liao),阮聖彰(Shanq-Jang Ruan) | |
dc.subject.keyword | 無線網路,低功率,網路拓撲,叢集演算法,休眠模式, | zh_TW |
dc.subject.keyword | Wireless,Sensor Network,Low Power,Energy,Topology Control,Clustering, | en |
dc.relation.page | 63 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2005-06-22 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
顯示於系所單位: | 電機工程學系 |
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