research-article

Towards Profit Optimization During Online Participant Selection in Compressive Mobile Crowdsensing

Authors:

MD Zakirul Alam Bhuiyan,

Pin LvAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 15, Issue 4

Article No.: 38, Pages 1 - 29

https://doi.org/10.1145/3342515

Published: 15 August 2019 Publication History

Abstract

A mobile crowdsensing (MCS) platform motivates employing participants from the crowd to complete sensing tasks. A crucial problem is to maximize the profit of the platform, i.e., the charge of a sensing task minus the payments to participants that execute the task. In this article, we improve the profit via the data reconstruction method, which brings new challenges, because it is hard to predict the reconstruction quality due to the dynamic features and mobility of participants. In particular, two Profit-driven Online Participant Selection (POPS) problems under different situations are studied in our work: (1) for S-POPS, the sensing cost of the different parts within the target area is the Same. Two mechanisms are designed to tackle this problem, including the ProSC and ProSC+. An exponential-based quality estimation method and a repetitive cross-validation algorithm are combined in the former mechanism, and the spatial distribution of selected participants are further discussed in the latter mechanism; (2) for V-POPS, the sensing cost of different parts within the target area is Various, which makes it the NP-hard problem. A heuristic mechanism called ProSCx is proposed to solve this problem, where the searching space is narrowed and both the participant quantity and distribution are optimized in each slot. Finally, we conduct comprehensive evaluations based on the real-world datasets. The experimental results demonstrate that our proposed mechanisms are more effective and efficient than baselines, selecting the participants with a larger profit for the platform.

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Cited By

Peng RHuang WXu HPi MLiu J(2022)“Follower of the Reference Point”: Platform Utility-Oriented Incentive Mechanism in CrowdsensingElectronics10.3390/electronics1116260911:16(2609)Online publication date: 20-Aug-2022
https://doi.org/10.3390/electronics11162609
Tan MYuan FYu JWang GGu X(2022)Fine-grained Image Classification via Multi-scale Selective Hierarchical Biquadratic PoolingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/349222118:1s(1-23)Online publication date: 25-Jan-2022
https://dl.acm.org/doi/10.1145/3492221
Yan CMeng LLi LZhang JWang ZYin JZhang JSun YZheng B(2022)Age-Invariant Face Recognition by Multi-Feature Fusionand Decomposition with Self-attentionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/347281018:1s(1-18)Online publication date: 25-Jan-2022
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Index Terms

Towards Profit Optimization During Online Participant Selection in Compressive Mobile Crowdsensing
1. Applied computing
  1. Computer forensics
    1. Data recovery
2. Human-centered computing
  1. Collaborative and social computing
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing theory, concepts and paradigms
      1. Mobile computing

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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 15, Issue 4

November 2019

373 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3352582

Editor:
Yunhao Liu
Tsinghua University, China

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Copyright © 2019 ACM.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 15 August 2019

Accepted: 01 June 2019

Revised: 01 April 2019

Received: 01 November 2018

Published in TOSN Volume 15, Issue 4

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Tianjin Science and Technology Foundation
National Program for Support of Top-Notch Young Professionals of National Program for Special Support of Eminent Professionals
National Natural Science Foundation of China
Guangdong Provincial Natural Science Foundation

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Cited By

Peng RHuang WXu HPi MLiu J(2022)“Follower of the Reference Point”: Platform Utility-Oriented Incentive Mechanism in CrowdsensingElectronics10.3390/electronics1116260911:16(2609)Online publication date: 20-Aug-2022
https://doi.org/10.3390/electronics11162609
Tan MYuan FYu JWang GGu X(2022)Fine-grained Image Classification via Multi-scale Selective Hierarchical Biquadratic PoolingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/349222118:1s(1-23)Online publication date: 25-Jan-2022
https://dl.acm.org/doi/10.1145/3492221
Yan CMeng LLi LZhang JWang ZYin JZhang JSun YZheng B(2022)Age-Invariant Face Recognition by Multi-Feature Fusionand Decomposition with Self-attentionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/347281018:1s(1-18)Online publication date: 25-Jan-2022
https://dl.acm.org/doi/10.1145/3472810
Zohar N(2022)Divide and Conquer: Detecting and Tracking Passive RFID Tags in Retail Spaces2022 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC51071.2022.9771839(1443-1448)Online publication date: 10-Apr-2022
https://dl.acm.org/doi/10.1109/WCNC51071.2022.9771839
Li LShi DZhang XHou RYue HLi HPan M(2022)Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile CrowdsensingIEEE Transactions on Mobile Computing10.1109/TMC.2021.305014721:9(3250-3262)Online publication date: 1-Sep-2022
https://doi.org/10.1109/TMC.2021.3050147
Yan CHao YLi LYin JLiu AMao ZChen ZGao X(2022)Task-Adaptive Attention for Image CaptioningIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2021.306744932:1(43-51)Online publication date: 10-Jan-2022
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Fukushima YSuda TMurase TTarutani YYokohira T(2022)Minimizing the monetary penalty and energy cost of server migration serviceTransactions on Emerging Telecommunications Technologies10.1002/ett.451133:9Online publication date: 10-Apr-2022
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Du YChen ZJia CLi XJiang YCheng WKankanhalli MWang MChu WLiu JWorring M(2021)Bag of Tricks for Building an Accurate and Slim Object Detector for Embedded ApplicationsProceedings of the 2021 International Conference on Multimedia Retrieval10.1145/3460426.3463659(519-525)Online publication date: 24-Aug-2021
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Zhang YZhang X(2021)Price Learning-based Incentive Mechanism for Mobile Crowd SensingACM Transactions on Sensor Networks10.1145/344762217:2(1-24)Online publication date: 25-Jun-2021
https://dl.acm.org/doi/10.1145/3447622
Hu YLiu XZhang BHan JCao X(2021)Alignment Enhancement Network for Fine-grained Visual CategorizationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/344620817:1s(1-20)Online publication date: 31-Mar-2021
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