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A Multi-QoS Optimization distributed Topology Control algorithm for wireless sensor networks

机译:无线传感器网络多QoS优化分布式拓扑控制算法

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In this paper, we present a Multi-QoS Optimization distributed Topology Control (MQOTC) algorithm for WSNs. Energy consumption, reliability and QoS provisioning are three key objectives in WSNs. In MQOTC algorithm, each sensor node independently builds its local maximum QoS topology according to the local information collected from its one-hop neighbors using MST (minimum spanning tree) scheme, therefore MQOTC algorithm is a fully distributed algorithm. The QoS metrics considered in this algorithm comprise node residual energy, end-to-end delay and link loss ratio. We analytically prove that MQOTC algorithm preserves the network QoS topology connectivity and show that MQOTC algorithm is scalable to large-scale WSNs and multidimensional QoS metrics. The simulation results demonstrate that MQOTC algorithm dynamically builds network topology when WSNs topology varies over the time, and MQCTC algorithm can efficiently prolong the network life span and improve QoS performance whiling meeting certain QoS requirements.
机译:在本文中,我们提出了一个多服务质量优化分布式拓扑控制(MQOTC)算法为无线传感器网络。能源消耗,可靠性和QoS供应是WSN中的三个关键目标。在MQOTC算法中,每个传感器节点独立地建立其局部最大值的QoS根据使用MST(最小生成树)方案,从它的单跳邻居收集的本地信息拓扑因此MQOTC算法是一个完全分布式的算法。本算法中考虑的QoS度量包括节点剩余能量,端到端延迟和链路损耗比。我们分析证明MQOTC算法保留了网络的QoS拓扑连接,并表明MQOTC算法可扩展到大型无线传感器网络和多层面的QoS指标。仿真结果表明,MQOTC算法动态构建网络拓扑时无线传感器网络的拓扑结构随时间而变化,MQCTC算法能有效延长网络寿命,提高QoS性能消磨满足一定的QoS要求。

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