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A Trust Based Congestion Aware Hybrid Ant Colony Optimization Algorithm for Energy Efficient Routing in Wireless Sensor Networks (TC-ACO)

机译:一种基于信任的拥塞感知混合蚁群优化算法   用于无线传感器网络中的节能路由(TC-aCO)

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摘要

Congestion is a problem of paramount importance in resource constrainedWireless Sensor Networks, especially for large networks, where the trafficloads exceed the available capacity of the resources. Sensor nodes are prone tofailure and the misbehavior of these faulty nodes creates further congestion.The resulting effect is a degradation in network performance, additionalcomputation and increased energy consumption, which in turn decreases networklifetime. Hence, the data packet routing algorithm should consider congestionas one of the parameters, in addition to the role of the faulty nodes and notmerely energy efficient protocols. Unfortunately most of the researchers havetried to make the routing schemes energy efficient without consideringcongestion factor and the effect of the faulty nodes. In this paper we haveproposed a congestion aware, energy efficient, routing approach that utilizesAnt Colony Optimization algorithm, in which faulty nodes are isolated by meansof the concept of trust. The merits of the proposed scheme are verified throughsimulations where they are compared with other protocols.
机译:在资源受限的无线传感器网络中,尤其是对于流量负载超过资源可用容量的大型网络而言,拥塞是至关重要的问题。传感器节点容易发生故障,这些故障节点的不当行为会进一步加剧拥塞,从而导致网络性能下降,额外计算和能耗增加,进而缩短网络寿命。因此,除了故障节点的作用和能源效率较高的协议之外,数据包路由算法还应将拥塞作为参数之一。不幸的是,大多数研究人员都试图使路由方案高效节能,而不考虑拥塞因子和故障节点的影响。在本文中,我们提出了一种利用蚁群优化算法的拥塞感知,高效节能的路由方法,其中故障节点通过信任的概念得以隔离。通过与其他协议进行比较的仿真,验证了所提出方案的优点。

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