Multiconstrained Multipath Routing for Wireless Sensor Networks in the Fuzzy Random Environment
Multiconstrained Multipath Routing for Wireless Sensor Networks in the Fuzzy Random Environment
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DOI：
10.3724/sp.j.1016.2011.00779
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Wang Xiao
中科院分区：
文献类型：
--
作者：
Wang Xiao
无线传感器网络的路由约束同时存在随机性和不确定性，现有的路由算法只考虑随机性，不能精确描述路由约束，本文采用模糊随机过程和模糊随机规划对无线链路的时延和可靠性的随机性、不确定性和时变特性进行建模，提出了一种模糊随机多约束多路径路由模型来反映无线链路的真实的特性，仿真结果表明，该算法通过灵活调整路由约束的强度，能够满足实际应用对服务质量的不同需求。
Fuzziness and randomness exist simultaneously in the routing constraints of wireless sensor networks.However,the existing routing algorithms only consider randomness,which can not describe the routing constraints precisely.This paper adopts fuzzy stochastic process and fuzzy random programming to model fuzziness,randomness and time-varying property of the delay and reliability of wireless links,and proposes a fuzzy random multiconstrained multipath routing model to reflect real characteristics of wireless links.A novel routing algorithm for wireless sensor networks is presented,which considers fuzziness,randomness and time-varying property and has polynomial complexity.Simulation results show that the proposed algorithm can meet different needs of practical applications for quality of service by flexibly adjusting the strength of the routing constraints.