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In this paper, we compare deterministic and probabilistic path planning strategies for an autonomous unmanned aerial vehicle (UAV) network, where the objective is to explore a given area with obstacles and provide an overview image. We present both online and offline implementations of the algorithms as alternative solutions, where applicable, and analyze the performance of the offline implementations...
This paper studies a distributed path planning problem: how can a sensor network help to navigate a robot to its desired goal in a distributed manner. We consider the case where each sensor node is equipped with sophisticated sensors capable of giving a map for its sensing region. We propose a distributed sampling based planning framework (Distributed PRM), where every sensor node creates a local...
Multi-robot path planning refers to finding an optimized obstacle-avoidance path cooperatively in unknown environment while knowing the start and end coordinates. The development of wireless sensor network provides a low cost and efficient solution for multi-robot path planning. In this paper a hybrid path planning strategy based on WSN is proposed. It combined local and global path planning based...
Generally self-organization of the active sensor networks is moving a collection of robots from an area to desired area. When the robots reach the designated area in a network with a topological structure different from the desired one, reconfiguration of the sensor network must be performed by changing the topological structure. During the reconfiguration process, we need to ensure that each robot...
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