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Energy efficiency is crucial when wireless nodes are deployed in a remote or isolated area. This paper provides an optimal solution for data gathering from a wide area Wireless Sensor Network (WSN) with the use of Unmanned Aerial Vehicles (UAVs). Particle Swarm Optimization (PSO) is proposed as an optimization method to find the waypoints for a UAV in order to reduce the energy consumption and bit...
This work 1 presents a heuristic algorithm for optimizing the average total energy consumed by the ground-based nodes in data collection applications with an unmanned aerial vehicle (UAV). For each cluster of nodes, the UAV is assumed to fly over at least one of them to collect data. In advance of each flight only the positions of the nodes are known to the UAV. After flying into communication range...
In many applications based on the use of unmanned aerial vehicles (UAVs), it is possible to establish a cluster of UAVs in which each UAV knows the other vehicle's position. Assuming that the common channel condition between any two nodes of UAVs is line-of-sight (LOS), the time and energy consumption for data transmission on each path that connecting two nodes may be estimated by a node itself. In...
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