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Title: | 無線感測網路用於事件偵測及資料傳遞之二階段監測感知
排程機制 A Two-Phased Surveillance Aware Scheduling Mechanism for Event Detection and Packet Delivery in Wireless Sensor Networks |
Authors: | Chuang-Jung Chen 陳莊榮 |
Advisor: | 陳健輝 |
Keyword: | 無線感測網路,事件偵測,兩,階段排程,監督,電力,消耗, Wireless sensor network,event detection,scheduling,surveillance,power consumption, |
Publication Year : | 2009 |
Degree: | 碩士 |
Abstract: | 事件偵測以及環境監督在無線感測網路中是重要的討論議題.然而使用著無法充電或替換的電力來源,通常市電池,將會較短的導致網路壽命,特別是在於事件的發生頻率相當低並且危及的時候,感測裝置若持續的開啟可能在事件發生之前早已將電力耗盡,為了這個理由,要達到節省能源的目的,則有提出了感測裝置進入睡眠模式的概念,並且藉由排程的程序來決定各個感測裝置何時要進入睡眠模式以及何時要醒來工作,但是問題在於感測裝置處於睡眠模式時無法擁有立即的感測事件的功能,若是感測裝置在工作的期間越長,則事件發生後越容易被一個作用中的感測裝置偵測到,因此,事件偵測的延遲時間和感測裝置工作期間長短將會成為一個權衡問題。在此文章中我們將會介紹一個名為'無線感測網路用於事件偵測及資料傳遞之二階段監測感知排程機制'的排程方法,並且加入在事件發生前的感測資訊成為排程的參考參數。為了要有較低的負擔並且減少偵測事件的延遲,我們提出兩種監督的模型能有較好的效率用以處理以上所述之事件。即使此模型只需建立在不含全球定位系統的同質感測裝置上,依舊可以達到降低這兩種延遲。最後我們顯示實驗結果以及數學分析做比較,並且提出結論以及未來改善的方法. Event detection and environment surveillance are the important issues in wireless sensor networks. However, using the non-renewable power source leads to the short lifetime of the networks, especially when the event occurred in rare frequency. For this reason to reduce the working time is using the scheduling process to determine the time sensor goes sleeping to conserve energy and wakes up. But in their sleeping time would have no ability to sense the event immediately, so the delay time and the working interval would become trade-off. In this article, we will introduce a new scheduling approach “A Two-Phased Surveillance Aware Scheduling Mechanism for Event Detection and Packet Delivery in Wireless Sensor Networks” to lower the delay time, and we use the sensed data before the event really occurred to make the scheduling policy. Consider to have lower overhead and delay of the event being sensed and the delay to transmit to the base station. We propose two surveillance models to cope with these events. Although this model is simple to create with the homogeneous GPS-free sensor nodes, it can achieve the goal of reducing the delay time of detection and delivery. Finally, we show our performance and make the mathematical analysis to compare with the simulation results then describe the improvement of our approach. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42919 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 資訊工程學系 |
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ntu-98-1.pdf Restricted Access | 614.87 kB | Adobe PDF |
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