Tom and jerry based multi-path routing with optimal kmedoids for choosing the best cluster head in MANET | [International Journal of Communication Networks and Information Security • 2023]

Author(s):

1. K. Sankar: CSE Department, CVR College of Engineering, Hyderabad, Telangana, India

2. V. Gokula Krishnan: Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, Tamil Nadu, India

3. M. V. Vijaya Saradhi: Department of CSE, ACE Engineering College, Ghatkesar, Hyderabad, Telangana, India

4. K. Hema Priya: Department of CSE, Panimalar Engineering College, Poonamallee, Chennai, Tamil Nadu, India

5. V. Vijayaraja: Department of AIDS, R M K College of Engineering and Technology, Kavaraipettai, Tamil Nadu, India

Abstract:

Given the unpredictable nature of a MANET, routing has emerged as a significant challenge in recent years. For effective routing in a MANET, it is necessary to establish both the route discovery and the best route selection from among many routes. This investigation's primary focus is finding the best path for data transmission in MANETs. This research proposes an efficient routing technique for minimising the time spent passing data between routers. Here, the study employs a routing strategy based on Tom and Jerry Optimization (TJO) to find the best path via the MANET's routers, called Ad Hoc On-Demand Distance Vector (AODV). The AODVTJO acronym stands for the suggested approach. Distance, residual energy and number of hops are three different objective functions for this routing strategy. Rerouting must be done when a node or connection fails in a network. To prevent packet loss, the MANET employs this rerouting technique. Analyses of AODV-efficacy TJOs are conducted, and results are presented in terms of energy use, endto- end latency, bandwidth, and the proportion of living and dead nodes. Vortex Search Algorithm (VSO) and cuckoo search are compared to the AODV-TJO approach in terms of performance. Based on the findings, the AODV-TJO approach uses 580 J less energy than the Cuckoo search algorithm with 500 nodes

Page(s): 70-82

DOI: DOI not available

Published: Journal: International Journal of Communication Networks and Information Security, Volume: 15, Issue: 1, Year: 2023

Keywords:

Energy consumption , Routing , Cluster head , Mobile Adhoc Network , Tom and Jerry Optimization

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