Energy Efficient Cluster Head Selection Scheme for Mobile Adhoc Networks Using FAHP and FMPDM

Clustering is one of the important methods for prolonging the network lifetime in Mobile AD Hoc Networks. It involves grouping of nodes into clusters and electing cluster heads (CHs) for all the clusters. CHs collect the data from respective cluster’s nodes and forward the aggregated data to main node. A major challenge in MANET is to select appropriate cluster heads. In this paper, a novel fuzzy multiple criteria decision making approach, which is based on hierarchical fuzzy integral (FAHP) and Fuzzy multiple parameter decision-making (FMPDM) is introduced to optimize the selection of cluster heads to develop a distributed energy-efficient clustering algorithm. In FAHP, Single parameter is taken into account simultaneously as the main factors that can influence the selection of cluster heads while each factor contains some sub-criteria. The main Problems with single criteria are mostly based on residual energy. Doesn’t consider other information, like location of nodes, number of neighbor nodes etc. So normal nodes consumes more energy to send their data to CHs. So Fuzzy multiple parameter decision-making (FMPDM) approach is used to select CHs using three criteria including residual energy, number of neighbors, the distance from the main nodes and location. The simulation results demonstrate that this approach is more effective in maximizing the connectivity within each cluster and also localizing high intensity traffic within a cluster