无线传感器网络基于模糊信息的QoS路由发现方法

有效使用片上受限资源以保持最长的生命周期是无线传感器网络的核心问题.无线传感器网络不断增长的多媒体应用引发人们研究如何满足具体应用的服务质量约束.能量因素与QoS各参数的相互影响构成了一个NP完全问题.本文引入模糊数学理论中的区间数概念抽象现实网络提供的信息,利用排队论方法将多业务多类型QoS多参数的约束和目标简化,从而得到了一种满足多类型业务多参数QoS要求的路由算法.仿真实验结果表明,在满足多类型业务多参数QoS要求的前提下,本文算法能很好支持多种业务的资源需求分配,可达到全网最优能耗均衡,延长网络寿命.

A QoS Route Discovery Method based on Fuzzy Information for Wireless Sensor Networks

An important issue of wireless sensor networks (WSNs) is to efficiently employ the constrained embedded resource to maximize the lifetime. The increasing demand for using multimedia applications over the WSNs has triggered a spur of research on how to satisfy the quality of service (QoS) requirement of these applications. A NP-Complete problem occurs when the energy factors and the QoS parameters influence each other. We present a new route discovery method which could satisfy the QoS constraints and have better network lifetime. The conception of interval number in fuzzy mathematics has been introduced and used to abstract the information of actual WSNs. The queue model has been utilized to predigest the multi-constraints QoS parameters of multi-operations. The experimental results show that this algorithm is capable of effectively satisfying the demands of multi-constraints QoS parameters of multi-operations. This proposed algorithm can provide differential services among multi-operations, achieve the energy-cost-balancing on the whole network and prolong the network lifetime.