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Firework inspired load balancing approach for wireless sensor networks

机译:无线传感器网络的烟花启发负载平衡方法

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In Wireless Sensor Networks (WSNs), where power consumption is a huge concern, the improvement of the network's lifetime is an area of constant study and innovation. The battery units of the sensor nodes cannot be recharged or replaced. Therefore, the need for energy efficiency in WSNs is ever-present. This paper proposes a Firework inspired Clustering Algorithm (FCA) to generate well defined and load-balanced clusters with the sensor nodes and gateways. The gateway works as cluster head (CH) for each cluster. The algorithm considers each cluster as a firework where the CH is the center of the firework and each sensor node is a 'spark' emitted by the firework. The goal of the FCA is to maximize the lifetime of the sparks which in turn will maximize the lifetime of the network. Simulations of the proposed algorithm are performed and compared with a few existing algorithms. The results show that the proposed algorithm outperforms under different evaluation metrics such as average energy consumed by sensor nodes vs number of rounds, number of active sensors vs number of rounds, first gateway die and half of the gateways die.
机译:在无线传感器网络(WSNS)中,其中功耗是一个巨大的关注,网络寿命的改善是一个不断的研究和创新领域。传感器节点的电池单元不能再充电或更换。因此,WSN中对能源效率的需求永远存在。本文提出了一种烟花启发的聚类算法(FCA),以产生具有传感器节点和网关的良好定义和负载平衡簇。网关适用于每个群集的集群头(CH)。该算法将每个群集视为烟火,其中CH是烟花的中心,每个传感器节点是烟花发射的“火花”。 FCA的目标是最大化火花的寿命,这又会最大化网络的寿命。执行所提出的算法的仿真,并与少数现有算法进行比较。结果表明,所提出的算法在不同的评估度量下优于传感器节点消耗的平均能量Vs圆数,有源传感器的数量与圆数与圆数,第一网关模具和一半的网关模具。

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