吴云鹤, 熊庆国, 李文翔, 马娅婕. Grid拓扑认知传感网中面向能耗优化的混合路由策略[J]. 微电子学与计算机, 2015, 32(9): 85-89. DOI: 10.19304/j.cnki.issn1000-7180.2015.09.017
引用本文: 吴云鹤, 熊庆国, 李文翔, 马娅婕. Grid拓扑认知传感网中面向能耗优化的混合路由策略[J]. 微电子学与计算机, 2015, 32(9): 85-89. DOI: 10.19304/j.cnki.issn1000-7180.2015.09.017
WU Yun-he, XIONG Qing-guo, LI Wen-xiang, MA Ya-jie. Energy-aware Hybrid Routing Strategy in Cognitive Radio Sensor Networks of Grid Topology[J]. Microelectronics & Computer, 2015, 32(9): 85-89. DOI: 10.19304/j.cnki.issn1000-7180.2015.09.017
Citation: WU Yun-he, XIONG Qing-guo, LI Wen-xiang, MA Ya-jie. Energy-aware Hybrid Routing Strategy in Cognitive Radio Sensor Networks of Grid Topology[J]. Microelectronics & Computer, 2015, 32(9): 85-89. DOI: 10.19304/j.cnki.issn1000-7180.2015.09.017

Grid拓扑认知传感网中面向能耗优化的混合路由策略

Energy-aware Hybrid Routing Strategy in Cognitive Radio Sensor Networks of Grid Topology

  • 摘要: 针对方格拓扑传感网的能耗优化利用问题,分析其能耗的影响因素,将总能耗分解为待机能耗和传输能耗两部分,指出时延最小化路由和负载均衡路由分别是最小化以上两种能耗的方法,但均无法实现总能耗的最小化.进而基于多信道双模式TDMA接入方式,提出在不同节点上采用不同路由方法的混合路由策略.OMNet++仿真实验证明,混合路由策略兼具负载均衡和时延最小化特性,能实现总能耗的最小化.

     

    Abstract: To solve the problem of energy consumption optimization for wireless sensor network in grid topology, the overall energy consumption is decomposed into two parts, i.e. energy consumption for transmission and energy consumption for node standing by, and the relevant influencing factors of energy consumption are analyzed. Pointed out that load-balance routing and delay-minimization routing can optimize the above two types of energy consumption respectively. However, none of these routing methods can minimize the overall energy consumption. With a multi-channel, dual-mode, TDMA media access method, proposed hybrid routing strategy that uses different routing methods in different positions of topology. Simulation experiments in OMNet++ analyzed and compared the load on performance bottleneck node and the transmission delay of load-balance routing, delay-minimization routing and hybrid routing. The results show that hybrid routing strategy leads to load balance and delay minimization, and can minimizes the overall energy consumption.

     

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