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一种节能的无线传感器网络跨层结构(英文)

A cross-layer energy-efficient protocol architecture for wireless sensor networks

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【作者】 柏荣刚赵保华屈玉贵

【Author】 BAI Rong-gang1,ZHAO Bao-hua2,3,QU Yu-gui1(1.School of Information Science and Technology,USTC,Hefei 230027,China;2.Department of Computer Science and Technology,USTC,Hefei 230027,China;3.State Key Laboratory of Networking and Switching Technology,Beijing,100876,China)

【机构】 中国科学技术大学信息学院中国科学技术大学计算机科学学院网络交换技术国家重点实验室

【摘要】 提出一种节能的无线传感器网络跨层结构(TEPA).TEPA采用跨层设计,在网络层和MAC层之间交互信息以实现高效率的数据传输.TEPA结合了网络的邻居拓扑信息和路由信息,使用微分进化算法(DE)优化MAC层的TDMA时隙配置,减少了数据汇聚树上各分枝之间的冲突,并且加速了单个分枝路径上数据的传递,既节约能量又降低延迟.与以往的协议不同,TEPA根据吞吐量和延迟在不同负载下的折衷找到了最优而非最短的TDMA调度时间表长度.仿真验证了TEPA在能耗与延迟方面的改善.

【Abstract】 A cross-layer energy-efficient protocol architecture(TEPA) was proposed for wireless sensor networks(WSN).A cross-layer design perspective was adopted in TEPA for high efficiency,where direct interactions between the network layer and the medium access control(MAC) layer were exploited.In TEPA,the TDMA schedule was designed with the differential evolution(DE) algorithm depending on not only the neighborhood information but also the routing information.By limiting contention between adjacent branches and accelerating transmission in individual branches of the data gathering tree,TEPA was able to reduce the latency,as well as optimizes the energy utilization of the network.Different from the previous schemes,TEPA doesn’t try to minimize the schedule length while a suitable schedule length is found based on the tradeoff on throughput and delay under different traffic loads.Simulation results show that TEPA enhances performance in terms of delay and energy consumption.

【基金】 Supported by the National Natural Science Foundation of China (60872009,60602016);Hi-Tech Research and Development Program of China 863(2007AA01Z428,2009AA01Z148);the Natural Science Foundation of Anhui(ZD2008005-2,ZD200904,JK2009A013,JK2009A025)
  • 【文献出处】 中国科学技术大学学报 ,Journal of University of Science and Technology of China , 编辑部邮箱 ,2009年08期
  • 【分类号】TP212.9;TN929.5
  • 【被引频次】7
  • 【下载频次】181
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