FCO—fuzzy constraints applied cluster optimization technique for wireless adhoc networks

Efficient energy utilization in wireless adhoc networks is always an open issue. To achieve energy efficiency, clustering technique would be an optimal one. In clustering technique using advanced optimization methods will provide expected results. By considering this, in this research work fuzzy constraints based cluster optimization technique is proposed. This technique considers fuzzy parameters namely device energy, device position, device movement/speed and device hop-count for calculating the fitness value of the nodes. Based on the value cluster head selection happens. This technique is enhanced to handle uncertainty conditions like cluster head failure, topology changes and energy depletion of the cluster head. The proposed technique is compared with four existing systems and the comparison results illustrates that the proposed technique is more optimal than compared LEACH, MPO, EDC, TCACWCA.