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面向环境监测的WSN中基于定向传输的高能效路由算法
引用本文:马忠彧,马宏锋,彭琳茹,李祥林.面向环境监测的WSN中基于定向传输的高能效路由算法[J].传感技术学报,2018,31(2):297-303.
作者姓名:马忠彧  马宏锋  彭琳茹  李祥林
作者单位:兰州工业学院电子信息工程学院,兰州730050;甘肃省资源环境信息化工程实验室,兰州730050 兰州工业学院电子信息工程学院,兰州730050;甘肃省资源环境科学数据工程技术研究中心,兰州730000;甘肃省资源环境信息化工程实验室,兰州730050
基金项目:国家自然基金项目,甘肃省青年自然基金项目,甘肃省青年自然基金项目,甘肃省高校科研项目,甘肃省高校科研项目,兰州市科技计划项目,兰州市人才创新创业项目,兰州工业学院科技创新项目,甘肃省资源环境科学数据工程技术研究中心开放基金,兰州工业学院科技创新团队支持计划项目
摘    要:能耗问题是WSN在环境监测中发展与应用中的主要限制因素,而路由协议成为解决Qos(即能耗、网络生命周期、网络可扩展性和包开销等)相关问题的研究热点.动态路由协议适用于能量密度较小的场景,但当节点模式从活跃转睡眠时,数据包需要等到下一个发送时间点才能发送,从而降低网络能效、增加数据包的端到端时延,进而增加了网络能耗.为了解决该问题,本文提出了一种基于PEGASIS与DSR联合优化的路由协议JPDORP(Joint PEGASIS-DSR Optimized Routing Protocol),JPDORP有PEGASIS和DSR协议的共同特征,同时也融合运用了遗传算法和细菌觅食优化方法以确定能效最优的传输路径.仿真结果表明,算法在误比特率、时延、能耗、吞吐量方面均有增益,能够提供更好的Qos保障和延长网络生命周期.

关 键 词:无线传感器网络  动态源路由  高功效采集  联合优化  wireless  sensor  network  dynamic  source  routing  pegasis  joint  optimization

Energy-efficient Routing Algorithm Based on Directional Transmission in WSN Network for Environmental Monitoring
MA Zhongyu,MA Hongfeng,PENG LinRu,LI Xianglin.Energy-efficient Routing Algorithm Based on Directional Transmission in WSN Network for Environmental Monitoring[J].Journal of Transduction Technology,2018,31(2):297-303.
Authors:MA Zhongyu  MA Hongfeng  PENG LinRu  LI Xianglin
Abstract:Energy consumption is the main limiting factor in the development and application of wireless sensor net-works(WSN)for environmental monitoring. Routing protocols has been a hotspot of solving Qos problem(ie. energy consumption,network life,network scalability and package overhead). Dynamic source routing(DSR)has been a-dapted to the scenes where energy density is very small.However,packets are transmitted until the next transmission period when the node mode was moved to the sleeping state from the active state,thus the network energy efficiency was reduced,the end-to-end delay of the packet and the network energy consumption were increased. In order to solve this problem,a Joint PEGASIS-DSR Optimized Routing Protocol(JPDORP)was proposed in the paper. JP-DORP has the common characteristics of PEGASIS and DSR protocol,and also uses Genetic Algorithm(GA)and Bacteria Foraging Optimization(BFO)jointly to determine the transmission path of optimal energy efficiency. The simulation results showed that gain of JPDORP in terms of bit rate,delay,energy consumption and throughput was evident,and better QoS protection and extend the network life cycle were also provided.
Keywords:WSN    DSR    PEGASIS    Joint Optimization  
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