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Sensors 2018, 18(5), 1413;

Energy Aware Cluster-Based Routing in Flying Ad-Hoc Networks

Department of Computer Science, COMSATS Institute of Information Technology, Attock 43600, Pakistan
Department of Software, Sejong University, Seoul 143-747, Korea
Department of Media Software, Sungkyul University, Anyang 430-742, Korea
Author to whom correspondence should be addressed.
Received: 19 March 2018 / Revised: 19 April 2018 / Accepted: 27 April 2018 / Published: 3 May 2018
(This article belongs to the Special Issue Advances on Vehicular Networks: From Sensing to Autonomous Driving)
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Flying ad-hoc networks (FANETs) are a very vibrant research area nowadays. They have many military and civil applications. Limited battery energy and the high mobility of micro unmanned aerial vehicles (UAVs) represent their two main problems, i.e., short flight time and inefficient routing. In this paper, we try to address both of these problems by means of efficient clustering. First, we adjust the transmission power of the UAVs by anticipating their operational requirements. Optimal transmission range will have minimum packet loss ratio (PLR) and better link quality, which ultimately save the energy consumed during communication. Second, we use a variant of the K-Means Density clustering algorithm for selection of cluster heads. Optimal cluster heads enhance the cluster lifetime and reduce the routing overhead. The proposed model outperforms the state of the art artificial intelligence techniques such as Ant Colony Optimization-based clustering algorithm and Grey Wolf Optimization-based clustering algorithm. The performance of the proposed algorithm is evaluated in term of number of clusters, cluster building time, cluster lifetime and energy consumption. View Full-Text
Keywords: FANET; routing; clustering; transmission range optimization; energy optimization FANET; routing; clustering; transmission range optimization; energy optimization

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Aadil, F.; Raza, A.; Khan, M.F.; Maqsood, M.; Mehmood, I.; Rho, S. Energy Aware Cluster-Based Routing in Flying Ad-Hoc Networks. Sensors 2018, 18, 1413.

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