Weighted Multi-Objective Cluster Based Honey Bee Foraging Load Balanced Routing in Mobile Ad Hoc Network

摘要

Cluster-based routing plays an imperative role in mobile ad hoc network (MANET). The conventional techniques designed for cluster based routing are not appropriate for large-scale networks as node dead too early due to their limited energy. Besides, existing route discovery techniques in MANET may result in traffic overflow because where balancing loads on nodes were not solved. In order to overcome such limitations, a Weighted Multi-objective Cluster based Honey Bee Foraging Load balancing (WMC-HBFLB) Technique is proposed. The WMC-HBFLB Technique is designed for performing energy efficient and load balanced routing in MANET. The WMC-HBFLB Technique developed a Weighted Multi-objective Clustering (WMC) algorithm where grouping of mobile nodes based on weights of residual energy and bandwidth to minimize the energy consumption during data transmission process. After clustering process, the mobile node which has a higher weight is taken as cluster head (CH) for routing the collected information to destination with minimal energy consumption. During the routing process, load in all CH has to be balanced. In order to balance the load across CHs, WMC-HBFLB Technique designed a Honey Bee Foraging Load Balancing (HBFLB) Algorithm. The HBFLB algorithm choose nearest load optimal CH based on fitness function in order to broadcast the data packets to sink node in MANET without any traffic. By this way, WMC-HBFLB Technique attains energy efficient and load balanced routing in MANET. The simulation of WMC-HBFLB Technique is carried out on factors such as load balancing efficiency, energy utilization rate, data loss rate and end to end delay with respect to number of mobile nodes. The simulation result demonstrates that the WMC-HBFLB Technique is able to improve the load balancing efficiency and also lessens the energy consumption of data transmission in MANET as compared to state-of-the-art works.