Abstract
The growing need for wireless communication has resulted in the widespread usage of unmanned aerial vehicles (UAVs) in a variety of applications. Designing a routing protocol for UAVs is paramount as well as challenging due to its dynamic attributes. The difficulty stems from features other than mobile ad hoc networks (MANET), such as aerial mobility in 3D space and frequently changing topology. This paper analyzes the performance of four topology-based routing protocols, dynamic source routing (DSR), ad hoc on-demand distance vector (AODV), geographic routing protocol (GRP), and optimized link state routing (OLSR), by using practical simulation software OPNET 14.5. Performance evaluation carries out various metrics such as throughput, delay, and data drop rate. Moreover, the performance of the OLSR routing protocol is enhanced and named “E-OLSR” by tuning parameters and reducing holding time. The optimized E-OLSR settings provide better performance than the conventional request for comments (RFC 3626) in the experiment, making it suitable for use in UAV ad hoc network (UANET) environments. Simulation results indicate the proposed E-OLSR outperforms the existing OLSR and achieves supremacy over other protocols mentioned in this paper.
Highlights
The fast growth of unmanned aerial vehicles (UAVs) has transformed the premise of wireless communication technology
The objective of this study is to evaluate the performance of four routing protocols (AODV, dynamic source routing (DSR), geographic routing protocol (GRP), and optimized link state routing (OLSR)) as well as enhance the performance of the OLSR protocol by tuning parameters for UAV ad hoc network (UANET)
The mobile ad hoc networks (MANET) routing protocol is applied to UANET, UANET is different from MANET
Summary
The fast growth of unmanned aerial vehicles (UAVs) has transformed the premise of wireless communication technology. UAV networks are proving to be a beneficial and appropriate technology for a wide range of civilian and military purposes. UAVs are used for a variety of purposes, including agriculture [3], remote sensing [4], forest fire detection [5], patrolling [6], and providing communication facilities in remote and disaster-prone areas [7,8]. In order to carry out tough tasks, UAVs must be able to communicate effectively. Despite their numerous applications and benefits, drones are frequently referred to as “terrorism by joystick” to emphasize their negative effects [9]. The goal of this study is to find and identify illegal drones that could endanger civilians
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