能耗均衡和节能的分层无线传感器网络汇聚层优化部署  

Energy Saving and Balanced Deployment of Convergence Layer in Hierarchical Wireless Sensor Networks

作　　者：徐嬴颖 易家欢 韩晨 张巧凤 唐震洲 XU Yingying;YI Jiahuan;HAN Chen;ZHANG Qiaofeng;TANG Zhenzhou(College of Computer Science&Artificial Intelligence,Wenzhou University,Wenzhou Zhejiang 325035,China)

机构地区：[1]温州大学计算机与人工智能学院,浙江温州325035

出　　处：《传感技术学报》2023年第6期962-971,共10页Chinese Journal of Sensors and Actuators

基　　金：浙江省自然科学基金重点项目(LZ20F010008)。

摘　　要：分层无线传感器网络中,汇聚节点的部署位置,对感知节点的能耗大小以及均衡起着至关重要的作用,最终影响传感器网络使用寿命。因此,在保证所有传感节点均能有效连接的前提下,对汇聚节点的位置进行优化,延长网络生存时长。同时考虑两个优化目标,即最小化感知节点的总传输功率,以及尽可能均衡感知节点的能耗。这是一个非凸的NP-hard的多目标优化问题。为了求解该问题,首先提出了一种多目标黏菌算法,然后基于此,设计了一种分层无线传感器网络汇聚层优化部署机制。充分的实验结果表明,基于多目标黏菌算法的优化部署机制可以显著降低感知节点的总功率,平衡感知节点之间的能量消耗。In wireless sensor networks(WSNs),the deployment of convergence layer nodes plays a vital role in the energy consumption of sensing layer nodes,and ultimately affects the service life of sensor networks.Therefore,on the premise of ensuring that all sensing nodes can be effectively connected,the locations of convergence layer nodes are optimized to prolong the life of WSNs.Two optimization objectives,namely,minimizing the total transmission power of the sensing nodes and balancing the energy consumption among all sensing nodes as much as possible are considered.This optimization problem is non⁃convex and NP hard.To solve it,a multi⁃objective slime mold algorithm(MOSMA)is first proposed,and then an optimal deployment mechanism in the convergence layer of hierarchical WSNs is designed.Sufficient experimental results show that the optimal deployment mechanism based on MOSMA can significantly reduce the total power of sensing nodes and balance the energy consumption among sensing nodes.

关 键 词：分层无线传感器网络 优化部署 多目标黏菌算法 能耗均衡 高能效 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]