Title: Resource prediction-based routing using agents in mobile ad hoc networks

Authors: Shilpa Shashikant Chaudhari; Rajashekhar C. Biradar

Addresses: School of Computing and Information Technology, Reva University, Rukmini Knowledge Park, Yelahanka, Bengaluru, 560064, India ' School of Electronics and Communication Engineering, Reva University, Rukmini Knowledge Park, Yelahanka, Bengaluru, 560064, India

Abstract: QoS outing in multimedia applications over MANET is affected by limited resources, shared channel, unpredictable mobility, improper load balancing, and variation in signal strength. Existing works on MANET QoS routing focuses on only one of the factor such as bandwidth, mobility or energy neglecting dependent behaviour. In this paper, resource prediction-based routing is proposed wherein intelligent agents identify routes for communication with adequate future availability of buffer-space, energy and bandwidth resources considering mobile nodes. It has four steps of execution: resource prediction, resource prediction factor computation, route establishment, and route maintenance. Resources are predicted to compute resource prediction factors for reliable route establishment and route maintenance against link and node failure. Simulation results show an improvement in terms of packet delivery ratio, packet delivery latency, memory overhead and energy consumption.

Keywords: mobile ad hoc networks; MANETs; wavelet neural network; WNN; resource prediction; cognitive agents; routing.

DOI: 10.1504/IJCNDS.2018.092144

International Journal of Communication Networks and Distributed Systems, 2018 Vol.20 No.4, pp.413 - 445

Received: 24 Feb 2016
Accepted: 24 Jun 2017
Published online: 05 Jun 2018 *

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