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Coverage-Guaranteed and Energy-Efficient Participant Selection Strategy in Mobile Crowdsensing

Authors
Ko, HaneulPack, SangheonLeung, Victor C. M.
Issue Date
4월-2019
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Constraint Markov decision process (CMDP); coverage; energy; mobile crowdsensing (MCS); piggyback
Citation
IEEE INTERNET OF THINGS JOURNAL, v.6, no.2, pp.3202 - 3211
Indexed
SCIE
SCOPUS
Journal Title
IEEE INTERNET OF THINGS JOURNAL
Volume
6
Number
2
Start Page
3202
End Page
3211
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/66526
DOI
10.1109/JIOT.2018.2880463
ISSN
2327-4662
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.
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Graduate School > Department of Computer and Information Science > 1. Journal Articles
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Pack, Sang heon
공과대학 (전기전자공학부)
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