Fuzzy path selection for routing in energy-limited mobile Ad Hoc networks

The fuzzy path selection is a framework for mobile ad hoc networks in which inaccurate information is available for making a routing decision. The goal of our path selection process is to identify a shortest path and to prolong the connectivity of the networks, using minimum hops and node remaining power as our model cost. Under an assumption that a list of candidate paths already exists, we explore the fuzzy logic approach to achieve the goal. The performance evaluation is done using a simulation program to compare between our fuzzy logic approach, the minimum hop, and the nearest neighbor approach the main performance metrics which are the number of hops in paths, the number of disconnected nodes in paths. The results show that our fuzzy approach yields the lower number of hops and the longest connectivity in the network.