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移动检测节点能耗优化及预测研究
引用本文:黄亦辰,李瑞祥,施伟斌. 移动检测节点能耗优化及预测研究[J]. 传感技术学报, 2012, 25(11): 1568-1576. DOI: 10.3969/j.issn.1004-1699.2012.011.019
作者姓名:黄亦辰  李瑞祥  施伟斌
作者单位:1.上海理工大学光电信息与计算机工程学院,上海,200093;2.上海理工大学光电信息与计算机工程学院,上海,200093;3.上海理工大学光电信息与计算机工程学院,上海,200093
基金项目:上海市教委科研创新项目(11CXY44);上海市教委重点学科建设项目(J50505)
摘    要:无线传感器网络具有智能感知外界信息的能力.由于外界环境变化的影响,传感器检测移动事件消耗的能量具有不确定性.在移动频率较低的情况下频繁地检测移动事件会浪费不必要的能耗.在不错过移动事件发生并使节点尽可能长时间地运行在低功耗工作模式的情况下,设置合理的移动检测周期是节点能量利用的关键.介绍了一种无线传感器网络节点能耗的模型,利用该模型的能耗计算方法推算出了在不同移动频率情况下合适的检测参数,对移动检测节点能耗进行优化.通过不同移动频率的实验,论证了该模型能耗计算方法的有效性,并进一步对能耗进行了预测.

关 键 词:无线传感器网络  移动检测  低功耗  能耗优化  能耗预测

Study on optimization and prediction concerning power consumption of moving detection nodes
HUANG Yichen,LI Ruixiang ,SHI Weibin. Study on optimization and prediction concerning power consumption of moving detection nodes[J]. Journal of Transduction Technology, 2012, 25(11): 1568-1576. DOI: 10.3969/j.issn.1004-1699.2012.011.019
Authors:HUANG Yichen  LI Ruixiang   SHI Weibin
Affiliation:g(University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,Shanghai 200093,China)
Abstract:Wireless sensor network is capable of intellectually perceiving outside information. As the operating conditions vary, the power consumption of the nodes in moving detection can be unpredictable. Frequent moving detection under low moving frequency may lead to unnecessary power waste. Under the condition that no omission of moving incidents should occur, and nodes are allowed to work in low power consumption mode for as long as possible, setting up a reasonable moving detection cycle is the key to utilizing the power of the nodes. This paper introduces an power consumption model of wireless sensor network nodes, which can be employed to detect and calculate accurately parameters in different moving frequencies in order to optimize power consumption in moving detection nodes. Through different moving frequency experiments, it also demonstrates the effectiveness of this model in the calculation method for measuring power consumption, and its further forecast.
Keywords:Wireless Sensor Network   moving detection   low power consumption   optimization of power consumption   prediction of power consumption
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