Intelligent Routing Scheme for FANET Using Bio-Inspired Optimisation

Intelligent Routing Scheme for FANET Using Bio-Inspired Optimisation

Nandhini S., Jeen Marseline K. S.
Copyright: © 2024 |Pages: 9
DOI: 10.4018/979-8-3693-2073-0.ch012
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Abstract

An unmanned aerial vehicle (UAV) is an aircraft without a human pilot that is operated remotely. When multiple UAVs are connected together for performing specific task, the arrangement is called a flying adhoc network (FANET). In a multi-UAV system, communication and coordination among the flying nodes are essential to carry out the mission properly. As the flying nodes are highly dynamic in nature, an efficient routing strategy is important. The intelligent routing decisions in this scenario can be taken by applying bio-inspired optimisation algorithms. This chapter focuses on bio-inspired optimisation techniques for the FANET.
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Rahmani et al. (2022) proposed a new routing method named OLSR+ which is based on fuzzy logic in FANETs. In this paper, the optimized link state routing protocol (OLSR) is improved using a fuzzy logic-based routing scheme. This work aims to improve the routing protocol by various approaches. It estimates the link lifetime based on several factors. It uses the fuzzy mechanism to deal with multipoint relays. This work also involves discovering network topology and calculating routing tables. Radoglou-Grammatikis et al. (2020) present a survey that mainly focuses on various applications of UAVs for precision agriculture. This paper lists out twenty different applications in the precision agriculture domain. The UAV architecture, characteristics and various methodologies adopted are also analysed in detail. Oubbati et al. (2017) proposed a survey on position-based routing protocols for FANETs. This paper also performs a comparative study of the various routing protocols based on their properties, routing metrics and drawbacks.

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