Multi-Objective Optimization Model for Clustering Based Secure Routing with Congestion Avoidance in Mobile ADHOC Networks
Introduction: In Mobile ad-hoc network (MANET), clustering, routing and security are considered as major design issues. Clustering and routing techniques offers distribution of load over many network correlations to attain better utilization of resources, improved throughput, reduces response time, and eliminates workload. Besides, Trust based schemes helps in sending messages in a secured manner as well as prevents the data from attackers by integrating authorized sender and receiver inside the network. Aim: The aim of the paper is to propose a new multi-objective optimization (MOO) technique is presented which intense to allocate the available networking resources properly, balances load in the network, security and effective data transmission. Method: The projected model operates on three major processes: clustering, secured routing and data aggregation based transmission scheme. The MOO model involves fuzzy logic (FL) based clustering process, LionWhale optimization algorithm with congestion avoidance (LW-CA) technique for routing process and integrated XOR and Huffman (IXH) based data transmission process. Therefore, the presented model is collectively called as FCAXH technique which achieves energy efficiency, proper load balancing and security. Results: The simulations are carried out using Network Simulator tool and the results are investigated with and without the presence of attackers. The proposed method attains maximum results interms of throughput, packet delivery ratio (PDR) and energy efficiency. Conclusion: The projected FCAXH model achieves energy efficiency, proper load balancing and security over the compared approaches even under the presence of attackers in the network.