An energy-balanced heuristic for mobile sink scheduling in hybrid WSNs

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dc.contributor.author Zhou, ZhangBing
dc.contributor.author Du, Chu
dc.contributor.author Shu, Lei
dc.contributor.author Hancke, Gerhard P.
dc.contributor.author Niu, Jianwei
dc.contributor.author Ning, Huansheng
dc.date.accessioned 2017-02-21T06:56:22Z
dc.date.available 2017-02-21T06:56:22Z
dc.date.issued 2016-02
dc.description.abstract Wireless sensor networks (WSNs) are integrated as a pillar of collaborative Internet of Things (IoT) technologies for the creation of pervasive smart environments. Generally, IoT end nodes (or WSN sensors) can be mobile or static. In this kind of hybrid WSNs, mobile sinks move to predetermined sink locations to gather data sensed by static sensors. Scheduling mobile sinks energyefficiently while prolonging the network lifetime is a challenge. To remedy this issue, we propose a three-phase energy-balanced heuristic. Specifically, the network region is first divided into grid cells with the same geo-graphical size. These grid cells are assigned to clusters through an algorithm inspired by the k-dimensional tree algorithm, such that the energy consumption of each clus-ter is similar when gathering data. These clusters are adjusted by (de)allocating grid cells contained in these clusters, while considering the energy consumption of sink movement. Consequently, the energy to be consumed in each cluster is approximately balanced considering the energy consumption of both data gathering and sink movement. Experimental evaluation shows that this technique can generate an optimal grid cell division within a limited time of iterations and prolong the network lifetime. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian hb2017 en_ZA
dc.description.sponsorship This work was supported in part by the National Natural Science Foundation of China under Grant 61379126, Grant 61401107, Grant 61572060, and Grant 61170296; in part by the Scientific Research Foundation for Returned Scholars, Ministry of Education of China; and in part by the Fundamental Research Funds for the Central Universities. Paper no. TII-15-0703. en_ZA
dc.description.uri http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9424 en_ZA
dc.identifier.citation Zhou, ZB, Du, C, Shu, L, Hancke, G, Niu, JW & Ning, HS 2016, 'An energy-balanced heuristic for mobile sink scheduling in hybrid WSNs', IEEE Transactions on Industrial Informatics, vol. 12, no. 1, pp. 28-40. en_ZA
dc.identifier.issn 1551-3203
dc.identifier.other 10.1109/TII.2015.2489160
dc.identifier.uri http://hdl.handle.net/2263/59125
dc.language.iso en en_ZA
dc.publisher Institute of Electrical and Electronics Engineers en_ZA
dc.rights © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists of any copyrighted components of this work in other works. en_ZA
dc.subject Energy-balanced heuristics en_ZA
dc.subject Grid cell en_ZA
dc.subject Hybrid wireless sensor networks (WSNs) en_ZA
dc.subject Mobile sinks en_ZA
dc.title An energy-balanced heuristic for mobile sink scheduling in hybrid WSNs en_ZA
dc.type Postprint Article en_ZA


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