Authors: Hemraj Saini; Madan Mohan Agarwal; Mahesh Chandra Govil; Madhavi Sinha
Addresses: Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India ' Department of Computer Science and Engineering, Birla Institute of Technology, Mesra Jaipur Camps, Jaipur, India ' Department of Computer Science and Engineering, National Institute of Technology, Sikkim, India ' Department of Computer Science and Engineering, Birla Institute of Technology, Mesra Jaipur Camps, Jaipur, India
Abstract: The performance of the network protocol depends on a number of parameters like mobility, distance between source and destination, queue length; hop count, residual energy, etc. In this paper, a new energy efficient protocol IAOMDV-F is developed based on fuzzy logic. In first phase, the proposed protocol discovered the multiple paths between source and destination using AOMDV protocol. These multiple paths received in phase one is processed to identify mutually exclusive disjoint and best paths in second phase. To achieve this, a fuzzy based controller FBRS is designed and developed to find the best path at destination nodes. The fuzzy logic is build using rule base and input parameters - average mobility, queue length, degree of node and distance of path. Since the paths obtained are already constrained by node disjoint process used in first phase. The path is further optimised using the concept of fuzzy logic, i.e., fuzzy controller, thus the proposed protocol become more energy constraint, efficient and stable. Comparative analysis of the proposed protocol IAOMDV-F is done across two performance metrics - routing overheads and energy consumption. The results show that the proposed protocol outperforms other existing protocols. NS-2 is used to simulate and analyses the proposed protocol.
Keywords: probability; neighbour's node; multipath; fuzzy controller; degree of node; ad hoc networks.
International Journal of Services Technology and Management, 2021 Vol.27 No.1/2, pp.51 - 71
Accepted: 15 Apr 2019
Published online: 12 Mar 2021 *