通信学报2018，Vol.39Issue(4)：68-75,8.DOI:10.11959/j.issn.1000-436x.2018061
WSN中基于双群体差分进化的资源分配优化算法
Resource allocation optimization algorithm based on double populations differential evolution in WSN
摘要
Abstract
A resource allocation algorithm was proposed for improving the network performance through jointing channel allocation, power control and timeslot allocation in multi-radio multi-channel wireless sensor network. More specifically, the network was modeled as a multi-objective optimization problem where the energy efficient, resource allocation bal-anced, networks capacity maximized were considered under the link interference and link conflict constraints. Due to the problem was NP-Hardness, a simple centralized algorithm——differential evolution based on double populations was used to solve the constrained multi-objective optimization problem. The simulation results show that the proposed algo-rithm significantly improves the network capacity and energy efficiency and guarantees the resource allocation balancing while reducing link interference and avoiding link conflict.关键词
多射频多信道无线传感器网络/信道分配/功率控制/时隙分配/多目标优化Key words
multi-radio multi-channel wireless sensor network/channel allocation/power control/timeslot allocation/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
郝晓辰,王立元,刘金硕,解力霞,张文焕..WSN中基于双群体差分进化的资源分配优化算法[J].通信学报,2018,39(4):68-75,8.基金项目
国家自然科学基金资助项目(No.61403336) （No.61403336）
河北省自然科学基金资助项目(No.F2015203342) （No.F2015203342）
燕山大学青年教师自主研究计划基金资助项目(No.15LGB007)The National Natural Science Foundation of China(No.61403336),The Natural Science Foundation of Hebei Province(No.F2015203342),The Independent Research Project for Young Teacher of Yanshan University(No.15LGB007) （No.15LGB007）
