Distributed Energy efficient Clustering Algorithm for mobile sink based wireless sensor networks

In the energy-constrained wireless sensor networks (WSNs), clustering is an efficient technique to minimize the energy consumption of the sensor nodes. But, the clustering algorithms for WSNs with a static sink frequently suffers from uneven energy consumption problems, where cluster heads (CHs) further away from sink consume more energy in a single hop communication, with the CHs sending its data directly to the sink. In order to solve such problem, we propose a Distributed Energy-efficient Clustering Algorithm for mobile-sink based WSNs, where the sink moves around the target area with a fixed path and speed. The proposed clustering algorithm, binds each sensor node with a CH via single or multi-hop communication, where a CH transmit its data packet to the sink when distance between them is minimal. Thus, the controlled movement of the sink around the network helps in balancing the energy consumption of the sensor networks. The experimental results demonstrate the efficiency of our proposed algorithm over the existing state-of-the-art algorithms in terms of different metrics like, network lifetime, energy consumption, etc.