A Fuzzy Optimized, Bee inspired Routing Protocol for Improved QoS in Mobile Ad Hoc Networks

Abstract

As it is well aware, one of the major aspects of Ad Hoc networks is the randomized movement of nodes. In order for this to take place, the routing protocols in the Ad Hoc network have to quickly respond to the network topology change with the purpose of guaranteeing successful data packet delivery. This involves multiples routing pathways being established in order to improve on reliability and on limited bandwidth. The main idea behind the proposed algorithm is to apply the fuzzy modified Bee-MANET routing protocol on a simulated network and compare its efficiency with respect to Bee-MANET and AODV. Normally, the entire concept of the Bee-MANET routing protocol works on Swarm intelligence for choosing a path to send a packet from one node to another. The swarms of bees act as agents that communicate with each other via a 'dance', to select the shortest path i.e. the path that takes the least time based on the number of hops. However, a small modification has been made by applying fuzzy logic to alter the Bee-MANET routing protocol. Due to recurrent node movements, the topologies of mobile Ad-hoc networks keep changing rapidly. The fuzzy rules applied will dynamically decide upon the best path for the packet to be sent across. The swarm rules depend only upon the number of hops while the fuzzy rules consider a number of factors, including the number of hops as well as the energies of the nodes, bandwidth and data traffic. Ultimately, the aim of this work is to increase the Quality of Service (QoS) of the mobile Ad-hoc network by developing the efficiency with respect to latency and stability of the route.