Fuzzy logic routing with load-balancing using a realistic mobility model

This paper present an analysis and discussion of the application of fuzzy logic as a means of curbing not optimal networks floods associated with the broadcast route discovery mechanism of a mobile ad hoc network (MANET). For load balancing the current queue level of a node is considered as a fuzzy input so that only lightly loaded nodes are selected for the generation of source-destination paths during the route discovery phase of a routing protocol The strength of the defuzzified 'Yes' decision is used to weight cache entries that are extracted during the route discovery phase. The weighting of entries allows a node to distinguish between paths when multiple paths are available for routing selection. A fuzzy adaptive cache expiration policy is presented again using the defuzzified 'Yes' decision to dynamically adapt a static cache timeout value. The effects of selecting a suitable mobility model on protocol performance is shown using the Random Way point model and Voronoi polygon based Obstacle model that restricts nodes to specified paths that can be extract from realistic topographies.