Clustering approach using node mobility in Wireless Sensor Networks

One of the most important challenges in Wireless Sensor Networks is their stringent energy contraint. Sensors are basically battery power devices where the replacement of these batteries can be costly and complicated. Node mobility is the main cause of energy over consumption, the disconnection between nodes and by the way the instability of the whole network. Motivated by this, we investigate clustering approach based on the Weighted Clustering Algorithm (WCA) that outperforms the state-art in terms of energy consumption and possesses the advantages of resilience against node mobility. The proposed method aims to elect the most stable and powerful node in term of energy, connectivity and link quality by controlling the network stability in order to avoid the disconnection between nodes.