Multipath Routing Using Improved Grey Wolf Optimizer (IGWO)-Based Ad Hoc on-Demand Distance Vector Routing (AODV) Algorithm on MANET

摘要

Mobile ad hoc network (MANET) is type of a wireless network without any infrastructure in which each node has the capability to seek out the best route. In the proposed system, improved grey wolf optimizer (IGWO)-based AODV protocol is proposed. It is used to optimize the AODV parameters for providing better energy consumption nodes along with multiple best routing paths. The proposed method contains three phases such as network model, AODV routing protocol, and generation of objective function in IGWO-based AODV. In the network model, nodes are connected to send and receive the packets. In the second phase, the AODV protocol is focused to calculate the energy utilization through distance among nodes. In the third phase, the IGWO is used to optimize the parameters such as energy, hop count, throughput, and delay using the fitness function values. The optimized search criteria of GWO help to decrease amount of time for the search process. Thus, the simulation results conclude that the proposed IGWO-AODV algorithm is better than the existing methods in terms of lower energy utilization, excellent throughput, relatively lesser end-to-end delay, and better network lifespan.