空间相关性的数据收集协议的研究

高密度部署的无线传感器网络中节点间的监测数据具有很高的空间相关性,为有效去除传输数据中的冗余信息,减少网络通信量,提出一种能量感知的分布式抽样的数据收集协议DEAS,该协议在保证插值误差精度的情况下充分利用传感器节点间的数据相关性,通过迭代竞争机制选出近似最优的抽样节点集合来完成网络数据的收集任务。仿真结果表明每一周期的抽样节点更少,网络的能量消耗更加均匀,所提出的协议能有效降低网络能量消耗,与E2K和ODSA 2种协议相比,可延长网络生命周期30%~40%。

Study on data gathering protocol based on spatial correlation

There is a high spatial correlation among the readings of sensor nodes those are densely deployed in Wireless Sensor Networks. This paper proposes a distributed energyaware sampling （DEAS） protocol of data gath ering for reducing the redundant data and the transmissions. The protocol can choose an approximate optimal set of sampling nodes within a limited number of iterations to transport data and enforce error control by exploiting the data correlation. The results of simulation experiments demonstrate that the number of sampling nodes is smaller in every cycle, and the energy consumption of the network is more even. The proposed protocol is effective in reducing the energy consumption and prolongs the life of the network by 30%-40% compared with E2K and ODSA.