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基于概率事件的无线传感网络能耗分析研究
引用本文:徐阳.基于概率事件的无线传感网络能耗分析研究[J].常州信息职业技术学院学报,2014(3):33-35.
作者姓名:徐阳
作者单位:南通航运职业技术学院管理信息系,江苏南通226010
基金项目:江苏省交通运输厅科学研究计划项目(2012Y24-2)
摘    要:延长无线传感节点的存活时间,对于无线传感网络意义重大。应用马尔科夫链,分析了无线传感网络的能耗和数据传输的关系,并建立了无线传感节点的能耗模型。实验表明:当节点的密度较大或传输的分组较长时,网络中的传输效率会随之下降。根据节点的密度,动态调整分组的长度,可以降低能耗,提高网络的生命周期。

关 键 词:无线传感网络  能耗  马尔科夫链

Research on Energy Consumption of Wireless Sensor Networks Based on Probability Event
XU Yang.Research on Energy Consumption of Wireless Sensor Networks Based on Probability Event[J].Journal of Changzhou Vocational College of Information Technology,2014(3):33-35.
Authors:XU Yang
Affiliation:XU Yang ( Dept. of Management & Information, Nantong Shipping College, Nantong 226010, China)
Abstract:It is significant to prolong lifetime of sensor nodes in wireless sensor networks. Markov chain is used to analyze the relationship between energy consumption and data transmission of wireless sensor networks,and a model of energy consumption is established. Experiments show that the transmission efficiency of the network decreases when the density of the nodes is large or the packet is long. So,according to the density of nodes,energy consumption could be reduced and the network lifetime could be prolonged by dynamically adjusting packet length.
Keywords:wireless sensor networks  energy consumption  Markov chain
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