Coverage-Guaranteed and Energy-Efficient Participant Selection Strategy in Mobile Crowdsensing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ko, Haneul | - |
dc.contributor.author | Pack, Sangheon | - |
dc.contributor.author | Leung, Victor C. M. | - |
dc.date.accessioned | 2021-09-01T17:04:22Z | - |
dc.date.available | 2021-09-01T17:04:22Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2019-04 | - |
dc.identifier.issn | 2327-4662 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/66526 | - |
dc.description.abstract | In mobile crowdsensing (MCS), a participant selection strategy should be carefully designed to guarantee sufficient coverage and avoid unnecessary energy consumption. In this paper, we propose a coverage-guaranteed and energy-efficient participant selection (CG-EEPS) strategy, in which the MCS server determines participants based on the data usage profile and mobility level of mobile devices. In addition, CG-EEPS adopts a piggyback approach of sensory data for energy-efficient transmissions. To attain the optimal performance in CG-EEPS, a constraint Markov decision process (CMDP) problem is formulated and its optimal policy is obtained by a linear programming. To address the curse of dimensionality in CMDP, a greedy heuristic is proposed and evaluated. Trace-driven evaluation results demonstrate that CG-EEPS can achieve sufficient coverage rate only with 20% of participants compared to random selection schemes. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | MANAGEMENT | - |
dc.title | Coverage-Guaranteed and Energy-Efficient Participant Selection Strategy in Mobile Crowdsensing | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Haneul | - |
dc.contributor.affiliatedAuthor | Pack, Sangheon | - |
dc.identifier.doi | 10.1109/JIOT.2018.2880463 | - |
dc.identifier.scopusid | 2-s2.0-85056319362 | - |
dc.identifier.wosid | 000467564700162 | - |
dc.identifier.bibliographicCitation | IEEE INTERNET OF THINGS JOURNAL, v.6, no.2, pp.3202 - 3211 | - |
dc.relation.isPartOf | IEEE INTERNET OF THINGS JOURNAL | - |
dc.citation.title | IEEE INTERNET OF THINGS JOURNAL | - |
dc.citation.volume | 6 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 3202 | - |
dc.citation.endPage | 3211 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | MANAGEMENT | - |
dc.subject.keywordAuthor | Constraint Markov decision process (CMDP) | - |
dc.subject.keywordAuthor | coverage | - |
dc.subject.keywordAuthor | energy | - |
dc.subject.keywordAuthor | mobile crowdsensing (MCS) | - |
dc.subject.keywordAuthor | piggyback | - |
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