CAJ | 학술논문

节点能耗是判断无线传感器网络(WSNs)优劣的重要指标。WSNs节点一般由电池供电，节点间通讯距离越远能耗越大，因此，在研究 WSNs 时必须考虑节点的能耗与分布。经典低功耗自适应集簇分层协议（LEACH）在选簇首时没有考虑节点位置和剩余能量。本文在 LEACH 算法的基础上加入节点剩余能量和位置参数：基于节点的分布，优化汇聚节点位置；节点剩余能量越大当选簇首的概率越大。最后，通过MATLAB仿真实验验证改进后的算法均衡了网络节点的能耗，延长了网络寿命。
절점능모시판단무선전감기망락(WSNs)우렬적중요지표。WSNs절점일반유전지공전，절점간통신거리월원능모월대，인차，재연구 WSNs 시필수고필절점적능모여분포。경전저공모자괄응집족분층협의（LEACH）재선족수시몰유고필절점위치화잉여능량。본문재 LEACH 산법적기출상가입절점잉여능량화위치삼수：기우절점적분포，우화회취절점위치；절점잉여능량월대당선족수적개솔월대。최후，통과MATLAB방진실험험증개진후적산법균형료망락절점적능모，연장료망락수명。
Energy consumption of nodes is an important indicator to judge the merits of wireless sensor networks (WSNs). WSNs nodes are generally powered by batteries, the farther distance between nodes the greater energy consumption, therefore energy and position of the nodes must be considered when studying WSNs. Classic Low Energy Adaptive Clustering Hierarchy Protocol (LEACH) elects cluster head node without the position and remaining energy. In this paper, adding nodes energy and positional parameters on the basis of LEACH algorithm: according to the distribution of nodes to optimize the SINK nodes position; more remaining energy nodes are easy to become cluster head. Finally, MATLAB simulation proved that the improved algorithm balances the energy node, extends the network lifetime.