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Two-level distributed clustering routing algorithm based on unequal clusters for large-scale Internet of Things networks

机译:大规模物联网网络中基于不等聚类的两级分布式聚类路由算法

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According to the recent advancements in communication technologies and the widespread use of smart devices, our environment can be transforming into the Internet of Things (IoT) because it can connect the physical, cyber, and biological world via smart sensors for different purposes. Wireless sensor networks are considered as one of the main infrastructures in the IoT systems. Therefore, decreasing the total energy consumption of sensor nodes and prolonging the network longevity are two important challenges that should be considered. To increase energy efficiency and to improve the network longevity, a two-level distributed clustering routing algorithm based on unequal clusters has been proposed for large-scale IoT systems. The main idea is to decrease the data transmission distances between member nodes and cluster heads to mitigate the hot spot problem by distributing two cluster heads in each cluster, which in turn leads to energy conservation and load balancing. The clustering method is two level due to the benefits it offers for the sensor nodes. First, each node can transfer its data to the nearest cluster head because a primary cluster head and a secondary cluster head have been considered for each cluster. Therefore, the nodes far from the primary cluster head can be organized based on their distances to the closest cluster head to reduce their data transmission distances to the cluster heads. Second, two cluster heads can be replaced with each other in different circumstances. This reduces the overhead of the cluster head selection algorithm in the proposed scheme. Third, the sensor nodes can benefit from the primary and secondary cluster heads to transfer the data to the sink through different paths with the minimum energy consumption. Simulation results indicate that the proposed algorithm has better performance in terms of total energy consumption, total network energy, and network longevity compared to previous similar schemes.
机译:根据通信技术的最新发展和智能设备的广泛使用,我们的环境可以转变为物联网(IoT),因为它可以通过智能传感器连接物理,网络和生物世界,以实现不同的目的。无线传感器网络被认为是物联网系统中的主要基础设施之一。因此,减少传感器节点的总能耗和延长网络寿命是应考虑的两个重要挑战。为了提高能源效率并提高网络寿命,针对大型物联网系统,提出了一种基于不等集群的两级分布式集群路由算法。主要思想是通过在每个群集中分布两个群集头来减少成员节点和群集头之间的数据传输距离,以缓解热点问题,进而导致节能和负载平衡。由于聚类方法为传感器节点提供了好处,因此分为两个级别。首先,每个节点都可以将其数据传输到最近的群集头,因为已经为每个群集考虑了主群集头和辅助群集头。因此,可以基于节点到主簇头的距离来组织远离主簇头的节点,以减少它们到簇头的数据传输距离。其次,两个簇头可以在不同情况下相互替换。这减少了所提出方案中簇头选择算法的开销。第三,传感器节点可以从主群集头和辅助群集头中受益,以最小的能耗通过不同的路径将数据传输到接收器。仿真结果表明,与以前的类似方案相比,该算法在总能耗,总网络能量和网络寿命方面具有更好的性能。

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