Abstract
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.
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