Constrained Clustering Approach in Wireless Sensor Networks to Minimize the Energy Consumption

The applications of Wireless Sensor Networks (WSNs) are massive in the range that starts from the defense, civil, military to our day to day routine life. Energy conservation in WSNs is a crucial issue to make the network operational for a long time. It is entirely worth noting that most of the energy consumption occurs during the data transmission. Routing protocol plays a significant role in carrying and forwarding the data to the destination. Clustering is one such branch of routing technique that increases the Network Lifetime unexpectedly through minimal energy consumption. In this regard, this research paper aims to formulate an exciting clustering problem in WSNs where the coordinates of patterns are random variables. The clustering problem is solved using the CENTROID approach, such as Cluster Head (CH) selection is done with an optimization interpretation. The proposed protocol is verified through the ns-2 simulator, and the results obtained from the simulations show that the proposed constrained clustering LEACH (CC-LEACH) offers its superiority over the existing protocols such as LEACH and LEACH-C in terms of various performance parameters.