Fuzzy-based optimization of AODV routing for efficient route in wireless mesh networks

Ibrahim Alameri; Jitka Komarkova; Tawfik Al-Hadhrami

doi:10.7717/peerj-cs.1508

Fuzzy-based optimization of AODV routing for efficient route in wireless mesh networks

PeerJ Comput Sci. 2023 Oct 18:9:e1508. doi: 10.7717/peerj-cs.1508. eCollection 2023.

Authors

Ibrahim Alameri^{1

2

3}, Jitka Komarkova³, Tawfik Al-Hadhrami²

Affiliations

¹ Institute of System Engineering and Informatics, University of Pardubice, Pardubice, Pardubice, Czech Republic.
² Computer Science Department, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
³ Computer Science, Jabir ibn Hayyan Medical University, Najaf, Najaf, Iraq.

Abstract

The performance of any communication system heavily relies on the efficient routing of interventions. This article addresses the significant issue of routing protocol selection for optimal path determination in networks. Particularly, when wireless communication occurs among mobile nodes with limited resources, such as batteries, the routing problem becomes even more challenging. This article proposes the Fuzzy Control Energy Efficient (FCEE) routing protocol to overcome these challenges. The FCEE protocol combines the Ad-Hoc On-Demand Distance Vector (AODV) protocol with fuzzy logic techniques to enhance network lifetime and performance. The proposed approach introduces a memory-based channel integrated with fuzzy logic methodologies, which effectively restricts the forwarding of unnecessary broadcast packets based on the energy availability of the operating node. Through extensive simulations, demonstrate the promising capabilities of FCEE as a routing protocol for wireless mesh networks. To further assess the effectiveness of the FCEE protocol, the proposed article compares it with two existing routing protocols: AODV and Intelligent Routing AODV (IRAODV). The simulation results shows that the FCEE routing protocol significantly enhances the reliability of the conventional AODV, providing improved link connectivity and longer route lifetimes. Additionally, our proposed protocol enhances the quality of service (QoS) for mesh routing, with an average throughput of 351.374 (Kbps) compared to 90 (Kbps) for IRAODV and 39 (Kbps) for AODV. Moreover, FCEE exhibits superior energy efficiency with an average energy consumption of 14, while IRAODV and AODV consume 40 and 90 joules, respectively. In conclusion, the FCEE routing protocol demonstrates its potential to address the challenges of efficient routing in wireless mesh networks. By leveraging fuzzy logic and integrating it with AODV, FCEE enhances network lifetime, performance, and energy efficiency, making it a promising solution for future wireless communication systems.

Keywords: AODV; Fuzzy logic; MANET; MESH; Memory channel; Routing protocol.

Grants and funding

This work was supported by the GS University of Pardubice project No. SGS_2023_013. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.