An Energy-Aware and Predictive Fuzzy Logic-Based Routing Scheme in Flying Ad Hoc Networks (FANETs)

Sang-Woong Lee; Saqib Ali; Mohammad Sadegh Yousefpoor; Efat Yousefpoor; Pooia Lalbakhsh; Danial Javaheri; Amir Masoud Rahmani; Mehdi Hosseinzadeh

doi:10.1109/ACCESS.2021.3111444

IEEE Access (Jan 2021)

An Energy-Aware and Predictive Fuzzy Logic-Based Routing Scheme in Flying Ad Hoc Networks (FANETs)

Sang-Woong Lee,
Saqib Ali,
Mohammad Sadegh Yousefpoor,
Efat Yousefpoor,
Pooia Lalbakhsh,
Danial Javaheri,
Amir Masoud Rahmani,
Mehdi Hosseinzadeh

Affiliations

Sang-Woong Lee: ORCiD; Pattern Recognition and Machine Learning Laboratory, Gachon University, Sujeonggu, Seongnam, Republic of Korea
Saqib Ali: ORCiD; Department of Information Systems, College of Economics and Political Science, Sultan Qaboos University, Al Khoudh, Muscat, Oman
Mohammad Sadegh Yousefpoor: Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
Efat Yousefpoor: Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
Pooia Lalbakhsh: ORCiD; The College of Design and Social Context, School of Global, Urban and Social Studies, RMIT University, Melbourne, VIC, Australia
Danial Javaheri: ORCiD; Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Amir Masoud Rahmani: Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan
Mehdi Hosseinzadeh: ORCiD; Pattern Recognition and Machine Learning Laboratory, Gachon University, Sujeonggu, Seongnam, Republic of Korea

DOI: https://doi.org/10.1109/ACCESS.2021.3111444
Journal volume & issue: Vol. 9
pp. 129977 – 130005

Abstract

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Today, unmanned aerial vehicles (UAVs), also known as drones, have become very popular in military applications, commercial applications, and academic research. Flying ad hoc network (FANET) is a new type of ad hoc network, which groups small drones into an ad hoc form. These networks have unique characteristics, including moving in a 3D space, high mobility, frequent topological changes, limited resources, low density of nodes, and so on, which impose various challenges when designing a proper and efficient routing scheme. In this paper, we present a fuzzy logic-based routing scheme for flying ad hoc networks. The proposed routing scheme has two phases: route discovery phase and route maintenance phase. In the first phase, we propose a technique for calculating the score of each node in the network to prevent the broadcast storm problem and control the flood of the control messages, which have been broadcast to discover a new route in the network. This score is calculated based on various parameters such as movement direction, residual energy of nodes, link quality, and node stability. Moreover, in the route selection process, we design a fuzzy system to select routes with more fitness, less delay, and fewer hops for data transfer. The second phase includes two steps: preventing route failure in order to detect and modify paths at the failure threshold, and reconstructing failed routes in order to recognize and quickly replace these routes. Finally, the proposed routing scheme is implemented in NS2 to evaluate its performance and determine its efficiency. The simulation results are compared with three routing methods, namely ECaD, LEPR, and AODV. These results show that the proposed routing method outperforms other routing schemes in terms of end to end delay, packet delivery rate, route stability, and energy consumption. However, it has slightly increased the routing overhead.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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