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DOI:
Journal of Software:2013.24(S1):117-124

传感器网络利用效用模型的跨层优化路由策略
李燕君,邵剑集,雷艳静
(浙江工业大学 计算机科学与技术学院, 浙江 杭州 310023)
Cross-Layer-Optimized Routing Using Utility Model for Sensor Networks
LI Yan-Jun,SHAO Jian-Ji,LEI Yan-Jing
(School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China)
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Received:May 02, 2013    Revised:August 22, 2013
> 中文摘要: 在传感器网络路由设计中,可靠性与能耗是两个重要但相互抵触的性能指标.为满足不同传输需求对这两个指标的不同要求,引入经济学中的效用模型,将这两个指标融合到统一的框架下进行路由决策的优化.以期望传输效用最大化为目标,将物理层的发射功率、MAC 层的重传次数与网络层的路由决策在效用模型的框架下进行了联合优化.针对不同重要程度的数据,选择不同的路由方案、每跳发射功率及重传次数.仿真显示所提出的跨层优化路由性能优于固定传输功率和固定重传次数的路由,并且能更好地兼顾可靠性、能耗和传输优先级等多维度需求.
中文关键词: 效用  跨层优化  可靠性  能耗  传感器网络
Abstract:In routing design in sensor networks, reliability and energy-efficiency are two important but conflicting performance metrics. To better reconcile the two metrics for different packet delivery requirements, utility model in economics is introduced, to integrate the cost and reliability metrics in a unified framework to evaluate the optimality of the routing decisions. This paper simultaneously optimize the transmission power in physical layer, the maximum retry count in MAC layer and the routing decisions in network layer using the framework provided by the utility model to achieve the objective of maximizing the expected utility of packet delivery. In the process, packets of different importance are delivered through different routing paths with different transmission powers and retry counts in each hop. Simulation results show that our cross-layer-optimized routing strategy performs better than those with fixed transmission power and fixed retry count. It also makes a good tradeoff among reliability, energy cost and the transmission priority.
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基金项目:国家自然科学基金(61003264); 浙江省自然科学基金(LY13F020028, LQ12F02015) 国家自然科学基金(61003264); 浙江省自然科学基金(LY13F020028, LQ12F02015)
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李燕君,邵剑集,雷艳静.传感器网络利用效用模型的跨层优化路由策略.软件学报,2013,24(S1):117-124

LI Yan-Jun,SHAO Jian-Ji,LEI Yan-Jing.Cross-Layer-Optimized Routing Using Utility Model for Sensor Networks.Journal of Software,2013,24(S1):117-124