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      Minimizing the Number of Mobile Chargers to Keep Large-Scale WRSNs Working Perpetually

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      International Journal of Distributed Sensor Networks
      Hindawi Limited

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          Abstract

          Wireless Rechargeable Sensor Networks, in which mobile chargers ([Formula: see text]s) are employed to recharge the sensor nodes, have attracted wide attention in recent years. Under proper charging schedules, the [Formula: see text]s could keep all the sensor nodes working perpetually. Since [Formula: see text]s can be very expensive, this paper tackles the problem of deciding the minimum number of [Formula: see text]s and their charging schedules to keep every sensor node working continuously. This problem is NP-hard; we divide it into two subproblems and propose a GCHA ( Greedily Construct, Heuristically Assign) scheme to solve them. First, the GCHA greedily addresses a Tour Construction Problem to construct a set of tours to 1-cover the WRSN. Energy of the sensor nodes in each of these tours can be timely replenished by one [Formula: see text] according to the decision condition derived from a Greedy Charging Scheme (GCS). Second, the GCHA heuristically solves a Tour Assignment Problem to assign these tours to minimum number of [Formula: see text]s. Then each of the [Formula: see text]s can apply the GCS to charge along its assigned tours. Simulation results show that, on average, the number of [Formula: see text]s obtained by the GCHA scheme is less than 1.1 over a derived lower bound and less than 0.5 over related work.

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          Most cited references27

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          GPSR

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            Energy Harvesting Sensor Nodes: Survey and Implications

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              Energy conservation in wireless sensor networks: A survey

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                Author and article information

                Contributors
                Journal
                International Journal of Distributed Sensor Networks
                International Journal of Distributed Sensor Networks
                Hindawi Limited
                1550-1477
                1550-1477
                June 01 2015
                June 18 2015
                June 01 2015
                : 11
                : 6
                : 782952
                Affiliations
                [1 ]Key Lab of Computer Network and Information Integration, MOE, School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
                Article
                10.1155/2015/782952
                952938f2-1be7-4601-8ed9-61e481770528
                © 2015

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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