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Opportunistic Communications in WSN Using UAV

Xiaoyan Ma 1 Simona Chisiu 1 Rahim Kacimi 2 Riadh Dhaou 1
1 IRIT-RMESS - Réseaux, Mobiles, Embarqués, Sans fil, Satellites
IRIT - Institut de recherche en informatique de Toulouse
2 IRIT-T2RS - Temps Réel dans les Réseaux et Systèmes
IRIT - Institut de recherche en informatique de Toulouse
Abstract : This paper studies the opportunistic routing (OR) in unmanned aerial vehicle (UAV) assisted wireless sensor networks (WSNs). We consider the scenario where a UAV collects data from randomly deployed mobile sensors that are moving with different velocities along a predefined route. Due to the dynamic topology, mobile sensors have different opportunities to communicate with the UAV. This paper proposes the All Neighbors Opportunistic Routing (ANOR) and Highest Velocity Opportunistic Routing (HVOR) protocols. In essence, ANOR forwards packets to all neighbors and HVOR forwards them to one neighbor with highest velocity. HVOR is a new OR protocol which dynamically selects route on a pre-transmission basis in multi-hop network. HVOR helps the sensor which has little opportunity to communicate with the UAV to determine which sensor, among all the sensors that are within its range, is the forwarder. The selected node forwards the packet. As a result, in each hop, the packet moves to the sensor that has higher opportunity to communicate with the UAV. In addition, we focus on various performance metrics, including Packets Delivery Ratio (PDR), Routing Overhead Ratio (ROR), Average Latency (AL) and Average Hop Count (AHC), to evaluate the proposed algorithms and compare them with a Direct Communication (DC) protocol. Through extensive simulations, we have shown that both HVOR and ANOR algorithms work better than DC. Moreover, the HVOR algorithm outperforms the other two algorithms in terms of the average overhead.
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Xiaoyan Ma, Simona Chisiu, Rahim Kacimi, Riadh Dhaou. Opportunistic Communications in WSN Using UAV. 14th IEEE Consumer Communications and Networking Conference (CCNC 2017), Jan 2017, Las Vegas, United States. pp.510-515, ⟨10.1109/CCNC.2017.7983160⟩. ⟨hal-02871326⟩

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