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CRAHNs中干扰和能耗有效的联合功率控制路由算法仿真研究 被引量:1

Simulation of Joint Power Control Routing Algorithm for Interference and Energy Consumption in CRAHNs
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摘要 针对认知无线Ad Hoc网络(Cognitive Radio Ad Hoc Networks,CRAHNs)下垫式(Underlay)频谱接入模型,次用户节点对主用户干扰功率过高,以及次用户节点能量过早耗尽的问题,提出了基于粒子群优化算法的联合功率控制的路由与频谱分配算法PRSA,以最小化次用户对主用户的干扰功率与延长网络生存时间为目标,包括粒子编码与粒子初始化、适应度函数、粒子飞行。设计了包含信道与发射功率等级二元组的邻接矩阵粒子编码结构,以及重新定义了粒子的3种运算规则。仿真结果表明,PRSA能在最小化对主用户的干扰功率的同时,延长网络生存时间。 Problems of interference power to primary user by secondary userand the secondary user's running out of energy under underlay spectrum access model in cognitive radio ad hoc networks(CRAHNs) were investigated. Joint power control, routing and spectrum(channel) allocation algorithm(PRSA) based on particle swarm optimization were proposed. The goal of PRSA was to minimize interference power to primary user and prolong lifetime of CRAHNs. Particle encoding, particle initialization, fitness function, particle flight were included in PRSA. An Adjacency matrix with two-tuples containing allocated channel and power level was designed, and three operation rules for particle were redefined. Simulation results show that PRSA can achieve the expected goal, minimize the interference power to primary user, and prolong the network lifetime.
出处 《系统仿真学报》 CAS CSCD 北大核心 2017年第7期1464-1471,1480,共9页 Journal of System Simulation
基金 国家自然科学基金(61309027 61379057) 湖南教育厅优秀青年基金(13B148) 中国博士后基金面上资助项目(2013M542136) 湖南省博士后科研资助专项计划项目(2014RS4027)
关键词 认知无线Ad HOC网络 路由 干扰 能耗有效 cognitive radio ad hoc networks routing interference energy efficient
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