Ant Colony Optimization Based Modified AODV for Secure Routing in Mobile Ad Hoc Networks
International journal of intelligent engineering and systems · 2021
Mobile Ad hoc Network (MANET) is an infrastructure-less wireless network that is characterized by multi-hop communication, dynamic network topology, open medium, and so on.MANET is generally vulnerable to security threats because of its decentralized control architecture.Therefore, the malicious attack is required to be avoided in the routing path for improving the network efficiency.In this paper, the Ant Colony Optimization (ACO) based Modified Ad-hoc On-Demand Distance Vector (MAODV) is proposed to obtain secure data transmission over the MANET.The ACO considers the four fitness functions such as trust, residual energy, distance, and node degree to detect an optimal path under the constraints of blackhole attacks.The main objective of the MAODV-ACO method is to improve the Packet Delivery Ratio (PDR) while minimizing the delay.The performance of the MAODV-ACO method is analyzed in terms of PDR, throughput, average End to End Delay (EED) and overhead.This proposed MAODV-ACO method is compared with Context-Aware Routing Protocol (CARP) and, Ad-hoc On-Demand Distance Vector (AODV) using Bayesian Approach and Dempster Shafer Theory (BA-DST) to evaluate the network performances.The PDR of the MAODV-ACO method is 99.66 % for 100 nodes, which is high when compared to the CARP and AODV-BA-DST.