In this paper, a design approach for simultaneous cooperative interception is presented for a scenario where the successful handover cannot be guaranteed by a single interceptor due to the target maneuver and movement...
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In this paper, a design approach for simultaneous cooperative interception is presented for a scenario where the successful handover cannot be guaranteed by a single interceptor due to the target maneuver and movement information errors at the handover moment. Firstly, the concepts of the reachable interception area and predicted interception area are introduced, a performance index function is constructed, and the probability of a successful handover is described by considering the coverage of the predicted interception area. Taking the probability of successful handover as a constraint, the simultaneous cooperative interception design problem is formulated based on areacoverage. Then, an area coverage optimization algorithm is presented to design the spatial distributions of the interceptors. In order to enhance the handover probability, a simultaneous cooperative interception design approach is proposed to obtain the number of interceptors and the corresponding spatial distributions. Finally, simulation experiments are carried out to validate the effectiveness of the proposed approach.
Wireless Sensor Networks (WSNs) collect and transfer environmental data from a predefined field to a base station to be processed and analyzed. A major problem in designing WSNs is coverage maximization, in which a gi...
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Wireless Sensor Networks (WSNs) collect and transfer environmental data from a predefined field to a base station to be processed and analyzed. A major problem in designing WSNs is coverage maximization, in which a given number of sensor nodes must be deployed in a way that maximizes areacoverage of a given network, without violating practical constraints. This is a known NP-hard problem and thus requires metaheuristic approaches for practical problem sizes. Two metaheuristics, namely Genetic Algorithm and Particle Swarm optimization are proposed to tackle this problem. Our new contributions include a partial use of heuristic initialization, new fitness function, modified virtual force algorithm, addition of a uniform deceleration to the calculation of inertia weight and addition of the influence of sub-populations' head individuals. The proposed algorithms are comprehensively experimented and compared with the current state-of-the-art for the equivalent problem without obstacles. Experimental results not only suggest which algorithms should be applied to which cases, but also provide insights into parameter settings, effects of heuristic initialization and effects of virtual force algorithm in each case. These conclusions are meaningful for our future research on obstacles constrained areacoverage problems related to connectivity and lifetime of WSNs. (C) 2019 Elsevier B.V. All rights reserved.
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