Fuzzy based energy optimized routing for lifetime maximization in mobile ad hoc networks

Position based routing has increasingly captured the focus of scientific researchers over the last decade. It is an issue in wireless ad hoc network since the nodes to collect the information about their positions as they have limited energy, consume extra energy. Therefore, MANET needs to develop innovative algorithms to deal with node positioning, communication and processing, to use energy efficiently. This paper presents fuzzy energy optimized position-based routing (FEPR) algorithm which selects a optimum path that minimize the distance between source node to destination node by selecting the next best forwarder node thereby reducing the unnecessary transmissions, leads to increase in network lifetime. Parameters such as degree of node, energy balance factor of a node, and forward distance to destination are supplied as the input to the fuzzy logic system. A proposed routing algorithm is presented to achieve fuzzy routing decision. Simulation results that FEPR outperforms MFR and LAR1 in terms of number of dead node, energy consumption, network lifetime and energy balance factor.