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无线传感器网络中,高能效的MAC层接入协议对于能量受限的传感器节点非常关键。文章设计了基于空间相关信息的最低能耗簇节点选取算法,并通过建立凸优化模型来推导出选取节点的优先级函数,避免了繁琐的解方程运算。仿真结果表明该算法在保证数据采集失真度的同时能有效降低网络能耗,从而延长网络寿命。
In wireless sensor networks, the energy-efficient MAC layer access protocol is crucial for energy-constrained sensor nodes. In this paper, we design a minimum energy cluster node selection algorithm based on spatial correlation information and deduce the priority function of the selected node by establishing a convex optimization model, which avoids the tedious solution of equations. The simulation results show that this algorithm can effectively reduce the network energy consumption and prolong the network lifetime while guaranteeing the data collection distortion.