Link Budget Based Optimised Link State Routing Protocol in Flying Ad-hoc Networks


Abdajbar, Abthal N and Mohamed, Khalid Sheikhidris and Alias, Mohamad Yusoff (2019) Link Budget Based Optimised Link State Routing Protocol in Flying Ad-hoc Networks. In: The 6th IIEEE Conference on Sustainable Utilization and Development in Engineering and Technology (2019 IEEE CSUDET), 6-8 November 2019, Penang, Penang, Malaysia.

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Flying ad-hoc networks (FANETs) had been used extensively in danger and natural disaster fields such as battle fields, floods, earthquakes etc. to restore wireless connectivity and help people and rescuing teams to seek help and locate people, respectively. FANETs are referred to as flying agents/nodes that can provide coverage without any support from a central unit. It comprise of versatile, affordable, and small easy to use unmanned aerial vehicles (UAVs), which offers an effective real-time connectivity platform for multiple UAV systems, just like a router without complicated hardware implementation. In this paper, we discuss the importance of the FANETs and provide a discussion of several literatures that attempted to improve the FANETs performance. We also present a routing protocol comparison between the optimised link state routing (OLSR) protocol and the distance based routing protocol in terms of throughput and end-to-end delay. The simulation results show that a throughput enhancement of 0.62 Gbps is achieved by the OLSR in comparison to the distance based routing protocol. Although the end-to-end delay may sometimes increase due to longer routes, but it can be claimed the OLSR is more efficient over the other. Therefore, by using the OLSR protocol FANET performance can further optimized.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Ad hoc networks, throughput, routing protocol, FANETs, OLSR, networking
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 27 Jan 2022 01:34
Last Modified: 27 Jan 2022 01:34


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