Mobile crowd sensing coverage and energy optimization in smart coalmine

Mobile crowd sensing (MCS) is a promising diagram for the environmental information collection based on the smart mobile terminal.Nowadays,vehicles with multiple embedded sensors are increasingly being considered as participants to complete various sensing tasks.In order to better perceive the data...

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Main Authors: Chaowei WANG, Ting LIU, Tianyu WANG, Weidong WANG
Format: Article
Language:zho
Published: China InfoCom Media Group 2020-12-01
Series:物联网学报
Subjects:
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00191/
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author Chaowei WANG
Ting LIU
Tianyu WANG
Weidong WANG
author_facet Chaowei WANG
Ting LIU
Tianyu WANG
Weidong WANG
author_sort Chaowei WANG
collection DOAJ
description Mobile crowd sensing (MCS) is a promising diagram for the environmental information collection based on the smart mobile terminal.Nowadays,vehicles with multiple embedded sensors are increasingly being considered as participants to complete various sensing tasks.In order to better perceive the data in the coalmine environment,the coverage quality and energy consumption of the perception data of sensing terminals were studied based on MCS.A new sensing coverage quality indicator called utility function F(Ω) jointly considering the coverage percentage and coverage density was defined.The selection of vehicles as an optimization problem to improve the coverage quality was formulated,then an improved greedy algorithm-coverage quality optimization (CQO) algorithm was proposed.The proposed algorithm with the real vehicle trajectory dataset was formulated and several factors influencing the coverage quality were studied.The experiment results show that the proposed algorithm achieves a better coverage quality.
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id doaj-art-63d742d3b083447d82874c08625d8c61
institution Kabale University
issn 2096-3750
language zho
publishDate 2020-12-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-63d742d3b083447d82874c08625d8c612025-01-15T02:53:01ZzhoChina InfoCom Media Group物联网学报2096-37502020-12-014172559647167Mobile crowd sensing coverage and energy optimization in smart coalmineChaowei WANGTing LIUTianyu WANGWeidong WANGMobile crowd sensing (MCS) is a promising diagram for the environmental information collection based on the smart mobile terminal.Nowadays,vehicles with multiple embedded sensors are increasingly being considered as participants to complete various sensing tasks.In order to better perceive the data in the coalmine environment,the coverage quality and energy consumption of the perception data of sensing terminals were studied based on MCS.A new sensing coverage quality indicator called utility function F(Ω) jointly considering the coverage percentage and coverage density was defined.The selection of vehicles as an optimization problem to improve the coverage quality was formulated,then an improved greedy algorithm-coverage quality optimization (CQO) algorithm was proposed.The proposed algorithm with the real vehicle trajectory dataset was formulated and several factors influencing the coverage quality were studied.The experiment results show that the proposed algorithm achieves a better coverage quality.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00191/smart coalminemobile crowd sensingcoverage percentagecoverage density
spellingShingle Chaowei WANG
Ting LIU
Tianyu WANG
Weidong WANG
Mobile crowd sensing coverage and energy optimization in smart coalmine
物联网学报
smart coalmine
mobile crowd sensing
coverage percentage
coverage density
title Mobile crowd sensing coverage and energy optimization in smart coalmine
title_full Mobile crowd sensing coverage and energy optimization in smart coalmine
title_fullStr Mobile crowd sensing coverage and energy optimization in smart coalmine
title_full_unstemmed Mobile crowd sensing coverage and energy optimization in smart coalmine
title_short Mobile crowd sensing coverage and energy optimization in smart coalmine
title_sort mobile crowd sensing coverage and energy optimization in smart coalmine
topic smart coalmine
mobile crowd sensing
coverage percentage
coverage density
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00191/
work_keys_str_mv AT chaoweiwang mobilecrowdsensingcoverageandenergyoptimizationinsmartcoalmine
AT tingliu mobilecrowdsensingcoverageandenergyoptimizationinsmartcoalmine
AT tianyuwang mobilecrowdsensingcoverageandenergyoptimizationinsmartcoalmine
AT weidongwang mobilecrowdsensingcoverageandenergyoptimizationinsmartcoalmine