Wireless sensor networks have fascinating applications that help mankind to get connected with the physical world. Since the last decade, wireless sensor networks are been researched as physical infrastructure of Internet of things technology. For such accomplishment, wireless sensor networks need to be scalable and self-organizing. As sensor nodes are battery driven, limited lifetime is the prime constraint. Clustering methods are popularly used to prolong the network lifetime, but cluster leader selection algorithms majorly affect total energy consumption of the network. This is because cluster leaders utilize more energy than other nodes. For scalable networks, selecting appropriate cluster leaders is a great challenge. In this research work, a distributed cluster leader selection algorithm is proposed to prolong the network lifetime. Real-time network parameters are used instead of random variables or constants in the formulation of cluster leader selection criteria. Due to this, minimal but sufficient number of cluster leaders are selected. This reduces number of transmissions toward the sink and significantly minimizes overall energy consumption. The simulation results indicate that the proposed algorithm enhances network lifetime efficaciously for varying node density and coverage area. Thus, the proposed algorithm can be suitably used for Internet of things applications.

中文翻译：

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一种提高可扩展无线传感器网络寿命的集群领导者选择算法

无线传感器网络具有迷人的应用，可以帮助人类与物理世界建立联系。近十年来，无线传感器网络作为物联网技术的物理基础设施被研究。为了实现这样的成就，无线传感器网络需要具有可扩展性和自组织性。由于传感器节点是电池驱动的，因此有限的使用寿命是主要限制因素。聚类方法广泛用于延长网络寿命，但聚类领导者选择算法主要影响网络的总能耗。这是因为集群领导者比其他节点使用更多的能量。对于可扩展的网络，选择合适的集群领导者是一个巨大的挑战。在这项研究工作中，提出了一种分布式集群领导者选择算法来延长网络生命周期。在制定集群领导者选择标准时，使用实时网络参数代替随机变量或常数。因此，选择了最少但足够数量的集群领导者。这减少了向接收器传输的次数，并显着降低了整体能耗。仿真结果表明，该算法有效地提高了不同节点密度和覆盖区域的网络寿命。因此，所提出的算法可以适用于物联网应用。这减少了向接收器传输的次数，并显着降低了整体能耗。仿真结果表明，该算法有效地提高了不同节点密度和覆盖区域的网络寿命。因此，所提出的算法可以适用于物联网应用。这减少了向接收器传输的次数，并显着降低了整体能耗。仿真结果表明，该算法有效地提高了不同节点密度和覆盖区域的网络寿命。因此，所提出的算法可以适用于物联网应用。