Open Access

ARTICLE

Energy Aware Metaheuristic Optimization with Location Aided Routing Protocol for MANET

E. Ahila Devi¹, K. C. Ramya², K. Sathesh Kumar³, Sultan Ahmad⁴, Seifedine Kadry⁵, Hyung Ju Park⁶, Byeong-Gwon Kang^6,*

1 Department of Instrumentation and Control Engineering, St. Joseph's College of Engineering, Chennai, 600119, India
2 Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 641008, India
3 School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, 626128, India
4 Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia
5 Department of Applied Data Science, Noroff University College, Kristiansand, 4612, Norway
6 Department of ICT Convergence, Soonchunhyang University, Asan, 31538, Korea

* Corresponding Author: Byeong-Gwon Kang. Email:

Computers, Materials & Continua 2022, 71(1), 1567-1580. https://doi.org/10.32604/cmc.2022.022539

Received 10 August 2021; Accepted 10 September 2021; Issue published 03 November 2021

Abstract

A mobile ad hoc network (MANET) involves a group of wireless mobile nodes which create an impermanent network with no central authority and infrastructure. The nodes in the MANET are highly mobile and it results in adequate network topology, link loss, and increase the re-initialization of the route discovery process. Route planning in MANET is a multi-hop communication process due to the restricted transmission range of the nodes. Location aided routing (LAR) is one of the effective routing protocols in MANET which suffers from the issue of high energy consumption. Though few research works have focused on resolving energy consumption problem in LAR, energy efficiency still remains a major design issue. In this aspect, this study introduces an energy aware metaheuristic optimization with LAR (EAMO-LAR) protocol for MANETs. The EAMO-LAR protocol makes use of manta ray foraging optimization algorithm (MRFO) to help the searching process for the individual solution to be passed to the LAR protocol. The fitness value of the created solutions is determined next to pass the solutions to the objective function. The MRFO algorithm is incorporated into the LAR protocol in the EAMO-LAR protocol to reduce the desired energy utilization. To ensure the improved routing efficiency of the proposed EAMO-LAR protocol, a series of simulations take place. The resultant experimental values pointed out the supreme outcome of the EAMO-LAR protocol over the recently compared methods. The resultant values demonstrated that the EAMO-LAR protocol has accomplished effectual results over the other existing techniques.

---

Keywords

---

Citations