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Identifying Optimal Spatial Groups for Maximum Coverage in Ubiquitous Sensor Network by Using Clustering Algorithms
Simon Fong1; Weng Fai Ip1; Elaine Liu1; Kyungeun Cho2
2013-08-19
Source PublicationInternational Journal of Distributed Sensor Networks
ISSN1550-1329
Volume2013
Abstract

Ubiquitous sensor network has a history of applications varying from monitoring troop movement during battles in WWII to measuring traffic flows on modern highways. In particular, there lies a computational challenge in how these data can be efficiently processed for real-time intelligence. Given the data collected from ubiquitous sensor networks that have different densities distributed over a large geographical area, one can see how separate groups could be formed over them in order to maximize the total coverage by these groups. The applications could be either destructive or constructive in nature; for example, a jet fighter pilot needs to make a real-time critical decision at a split of second to locate several separate targets to hit (assuming limited weapon payloads) in order to cause maximum damage, when it flies over an enemy terrain; a town planner is considering where to station certain resources (sites for schools, hospitals, security patrol route planning, airborne food ration drops for humanitarian aid, etc.) for maximum effect, given a vast area of different densities for benevolent purposes. This paper explores this problem via optimal "spatial groups" clustering. Simulation experiments by using clustering algorithms and linear programming are to be conducted, for evaluating their effectiveness comparatively. 

DOIhttps://doi.org/10.1155/2013/763027
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Telecommunications
WOS IDWOS:000322653600001
PublisherHINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA
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Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSimon Fong
Affiliation1.Department of Computer and Information Science, University of Macau, Macau
2.Department of Multimedia Engineering, Dongguk University-Seoul, Seoul 100-715, Republic of Korea
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Simon Fong,Weng Fai Ip,Elaine Liu,et al. Identifying Optimal Spatial Groups for Maximum Coverage in Ubiquitous Sensor Network by Using Clustering Algorithms[J]. International Journal of Distributed Sensor Networks,2013,2013.
APA Simon Fong,Weng Fai Ip,Elaine Liu,&Kyungeun Cho.(2013).Identifying Optimal Spatial Groups for Maximum Coverage in Ubiquitous Sensor Network by Using Clustering Algorithms.International Journal of Distributed Sensor Networks,2013.
MLA Simon Fong,et al."Identifying Optimal Spatial Groups for Maximum Coverage in Ubiquitous Sensor Network by Using Clustering Algorithms".International Journal of Distributed Sensor Networks 2013(2013).
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