Minimize the routing overhead through 3D cone shaped location-aided routing protocol for FANETs
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ORIGINAL RESEARCH
Minimize the routing overhead through 3D cone shaped locationaided routing protocol for FANETs Sudesh Kumar1
•
Ram Shringar Raw2 • Abhishek Bansal1
Received: 6 November 2019 / Accepted: 1 October 2020 Bharati Vidyapeeth’s Institute of Computer Applications and Management 2020
Abstract Recently, designing an effective routing protocol is challenging for flying ad-hoc networks (FANETs) due to the versatile nature of unmanned aerial vehicles (UAVs). Position-based routing schemes are seen to be a remarkable preference for routing in FANETs due to the fact that the geographical information of UAVs is readily available. In this paper, we are interested in the modification of the location-aided routing (LAR) that we call 3D cone shaped location-aided routing (3DC-LAR) a position-based routing (PBR) protocol. In the existing LAR scheme, a route discovery process done through the concept of request zone, in which only nodes presents in the request zone will forward the route request for transmitting the data. The proposed 3DC-LAR scheme modified the definition of request zone using 3D cone shape by intermediate UAVs in FANETs environment. The simulation results reveal that the proposed 3DC-LAR scheme has contributed to lead to an improvement in the terms of routing overhead. Keywords FANETs UAVs LAR MLAR PBR
& Sudesh Kumar [email protected] Ram Shringar Raw [email protected] Abhishek Bansal [email protected] 1
Department of Computer Science, Indira Gandhi National Tribal University, Amarkantak, MP, India
2
Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technology and Research, Delhi, India
1 Introduction A flying ad-hoc networks (FANETs) is a collection of an unmanned aerial vehicles (UAVs) forming a temporary network for implementing data transfer in certain unique scenarios without using any centralized infrastructure [1]. The fast-growing global industry of UAV has already found application in both military and civil such as border surveillance [2, 3], on-board health monitoring [4], precision agriculture [5], forest fire detection [6], smart cities [7], entertainment industries [8], 3D mapping [9] and hazardous site inspection [10]. In addition, the UAV market is expected to grow at a CAGR of 14.1% from 2020 to 2027 to reach $21.8 billion by 2027 [11]. Furthermore, FANETs overcome the limitations where the traditional mobile ad-hoc networks (MANETs) and mobile ad-hoc networks (VANETs) are not properly functioning due to some obstacles such as mountains, sea, and disasters like tsunami, hurricanes, etc. In FANETs, all UAVs equipped with smart device such as sensors, digital map, global positioning system (GPS), and digital smart camera. These devices availability make possible to FANETs work in effectively for highly difficult location [12]. In FANETs scenario Fig. 1, a multiple of UAVs communicating with each other through U2U communication and at least one of them must be connected to a ground station or satellite throu
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