无线传感器网络
继电器
粒子群优化
计算机科学
高效能源利用
智能电网
遗传算法
无线传感器网络中的密钥分配
软件部署
能量收集
无线
能量(信号处理)
计算机网络
网格
功率(物理)
无线网络
电气工程
工程类
电信
算法
数学
统计
物理
几何学
量子力学
机器学习
操作系统
作者
Min Li,Kaiyu Wang,Shuangshuang He
标识
DOI:10.1109/lcomm.2022.3231650
摘要
Wireless sensor networks (WSNs) are often applied in smart grid to monitor the electrical faults, and the sensor nodes harvest electromagnetic energy continuously from surrounding equipment to power themselves. For some sensor nodes far from the power devices, their consumed energy is more than the collected one, which makes them not work well. To enhance network performance and improve the energy efficency for energy harvesting wireless sensor networks (EH-WSNs), this letter proposes a novel energy efficiency model and designs a relay deployment scheme. Deploying the fewest relays for the maximum energy efficiency is formulated as minimum relay maximum energy efficiency (MRMEE) problem, which is NP-hard, and a particle swarm optimization-genetic algorithm (PSO-GA) is developed to obtain the appropriate solution. Simulation results show that the proposal can improve the energy efficiency and prolong the network lifetime compared with other approaches.
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