Improvement of routing protocols for unmanned flying ad hoc networks (UFANETS) by using crosslayer metrics

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2019

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Alkış, Oğuz

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Unmanned Air Vehicles (UAV) have been used to perform different type of missions. Many of these civilian and military missions require information exchange between UAVs, which is performed by using routing protocols for wireless ad hoc networks. An efficient routing protocol for unmanned flying ad hoc networks (UFANETs) plays a critical role for data transmission during various applications. In the literature, there are many studies for mobile ad hoc networks (MANET) routing protocols. Due to high mobility and frequent topology changes, most of these studies are not applicable to flying ad hoc networks. Although there are some studies for UFANETs, none of them use cross layer metrics for routing decision and maintenance. In this thesis, a new routing lifetime decision method is proposed for UFANETs by using cross layer metrics. The proposed method uses signal to noise ratio (SNR), frequency offset due to Doppler Effect and received signal power (RSSI or RSRP) parameters as cross layer metrics. This novel approach is applied to Ad Hoc On Demand Distance Vector (AODV) routing protocol and controls the remaining routing life time of the active routes. Simulations of the new approach and basic AODV protocol are done by using INET Framework of OMNET++ simulation tool. Results show that the proposed method improves the routing lifetime decision performance in terms of end-to-end latency, total number of routing overhead messages and successful data transmission ratio.

Subject Keywords

Vehicular ad hoc networks (Computer networks)., Keywords: Quasi Yagi Antenna, Antenna Array, Wilkinson Power Divider, Ceramic.

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http://etd.lib.metu.edu.tr/upload/12624714/index.pdf
https://hdl.handle.net/11511/44773

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

O. Alkış, “Improvement of routing protocols for unmanned flying ad hoc networks (UFANETS) by using crosslayer metrics,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Electrical and Electronics Engineering., Middle East Technical University, 2019.