无线传感器网络网内数据处理节点的优化选取

能量是无线传感器网络至关重要的资源,数据传输占据着能耗的主体,当前,大多数研究围绕最小化传输能耗而展开.网内数据处理是选择数据传输的某一中继节点作为处理节点,利用该节点所具备的计算能力对原始数据进行处理,再将处理结果返回给接收节点,从而达到降低传输能耗的目的.网内数据处理节点的最优选取,可以最小化数据查询的传输能耗.通过建立数学模型来描述传输能耗与处理节点选取策略的定量关系,提出一种不需要全局网络拓扑信息的低能耗的处理节点选取策略(energy efficient selection strategy,简称EESS).与现有方法相比,该策略使用较少的控制开销并能显著降低数据的传输能耗.模拟实验结果表明,EESS在低密度的网络结构以及长距离的查询操作下具有良好的性能,更有利于延长无线传感器网络的寿命.

Optimization of the Proxy Node Selection for In-Network Data Processing in Wireless Sensor Networks

Energy is identified as the most crucial resource of the wireless sensor networks.A significant amount of energy is often consumed by message passing.Many researches have focused on the issues about how to minimize the communication overhead.In-network data processing is a commonly adopted technique,in which an intermediate node called proxy node is chosen to process the source data streams and forward the result to the sink node,thereby reducing the transmission energy consumption.As a result,the optimal selection of the proxy node can minimize the transmission overhead.This paper formulizes the transmission energy consumption of the proxy node selection and proposes an energy efficient selection strategy(EESS),which can greatly reduce the transmission energy consumption of the query without knowing the whole topology of the network.Compared with the method proposed by others,EESS uses fewer control messages and achieves better performance.Simulation results show that EESS performs well even in low-density network and long-distance query,which potentially improves the lifetime of the sensor networks.