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LBCM: Energy-efficient clustering method in wireless sensor networks

机译:LBCM:无线传感器网络中的节能聚类方法

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Wireless sensor networks (WSNs) are a collection of battery-powered sensor nodes deployed in an environment that is most of the time isolated in nature. Usually, the power consumes in WSNs is due to sensing or sensed data forwarding. The data forwarding operation requires communication among nodes and its forwarding node (usually cluster head). Therefore, the design of an algorithm which can make a cluster and chooses a cluster head play a vital role in WSNs. Our objective is to perform energy-efficient communication between sensor nodes and broaden the network's lifetime by balancing the load of less energy-constrained gateways. Clustering is an effective technique to lessen the sensor nodes' energy dissipation in a wide-range wireless sensor network to increase the network's lifetime and obtain scalability and robustness. Though, if any of the gateways remain overloaded by a massive quantity of sensor nodes, it may fall soon, and the network's lifetime can end in a short duration. Therefore, it is necessary to adjust the gateways' load to prolong the network's lifetime. The paper includes a newly introduced algorithm named LBCM (Load Balanced Clustering Method) that adjusts the gateways' load and performs energy-efficient communication among the sensor nodes in WSNs. The simulation outcome of the introduced algorithm shows that our proposal is more energy-efficient than the existing algorithm.
机译:无线传感器网络(WSNS)是部署在大多数情况下的环境中的电池供电的传感器节点集合。通常,WSN中的功耗是由于感测或感测数据转发。数据转发操作需要在节点和转发节点(通常是簇头)之间的通信。因此,可以制作群集并选择群集头部的算法的设计在WSN中发挥着重要作用。我们的目标是通过平衡能量受限网关的负载来执行传感器节点之间的节能通信并通过较少的负载来扩大网络的寿命。聚类是一种有效的技术,可以减少广泛的无线传感器网络中的传感器节点的能量耗散,以增加网络的寿命并获得可扩展性和鲁棒性。但是,如果任何网关保持过量的传感器节点,可能会很快下降,并且网络的寿命可以在短时间内结束。因此,有必要调整网关的负载以延长网络的寿命。本文包括一个名为LBCM(负载平衡群集方法)的新引入的算法,该算法调整网关负载并在WSN中的传感器节点之间执行节能通信。引入算法的仿真结果表明,我们的提议比现有算法更节能。

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