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 |