Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoT
Internet of Things (IoT) is getting growing interest to offer great opportunities in combination with Mobile Crowd Sensing for real-time applications. Existing approaches motivate mobile workers (MWs) for approaching the distant locations to receive attractive incentives for traveling. The main ques...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959523000851 |
| _version_ | 1827349050594164736 |
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| author | Waqas Ahmad Ata Ullah Sheharyar N.Z. Jhanjhi Rania M. Ghoniem Sarfraz Nawaz Brohi |
| author_facet | Waqas Ahmad Ata Ullah Sheharyar N.Z. Jhanjhi Rania M. Ghoniem Sarfraz Nawaz Brohi |
| author_sort | Waqas Ahmad |
| collection | DOAJ |
| description | Internet of Things (IoT) is getting growing interest to offer great opportunities in combination with Mobile Crowd Sensing for real-time applications. Existing approaches motivate mobile workers (MWs) for approaching the distant locations to receive attractive incentives for traveling. The main question addressed is that a number of tasks remain incomplete out of total al-located tasks. Moreover, the profitability and feasible budget constraints of the platform is also not considered. This paper presents Bargaining based Design Mechanism (BDM) to involve the nearest located MWs to improve the completion of tasks. The main method involves a bargaining based game model that increases the task completion ratio while considering the feasible budget constraint, platform profitability and social welfare. The proposed approach comprises of two algorithms: one for the selection of optimal MWs with low cost and less delay. Second is to organize bargaining for rewarding the platform on social welfare. Our work is validated by developing a testbed on Windows Azure cloud. Results prove that proposed BDM out-performs the counterparts in terms of decay coefficient, task completion ratio, participant’s winning ratio, fraction of task incompletion and social welfare. |
| first_indexed | 2024-03-08T00:23:27Z |
| format | Article |
| id | doaj.art-f8e652e38169427ba4f87897dad7ca02 |
| institution | Directory Open Access Journal |
| issn | 2405-9595 |
| language | English |
| last_indexed | 2024-03-08T00:23:27Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj.art-f8e652e38169427ba4f87897dad7ca022024-02-16T04:29:47ZengElsevierICT Express2405-95952024-02-01101111117Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoTWaqas Ahmad0Ata Ullah1 Sheharyar2N.Z. Jhanjhi3Rania M. Ghoniem4Sarfraz Nawaz Brohi5College of Information Science and Technology, Beijing Normal University, Beijing 100875, ChinaDepartment of Computer Science, National University of Modern Languages (NUML), Islamabad 44000, PakistanCollege of Information Science and Technology, Beijing Normal University, Beijing 100875, ChinaSchool of Computer Science SCS, Taylor’s University, Malaysia; Corresponding author.Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaComputer Science and Creative Technologies, University of the West of England, Bristol BS16 1QY, UKInternet of Things (IoT) is getting growing interest to offer great opportunities in combination with Mobile Crowd Sensing for real-time applications. Existing approaches motivate mobile workers (MWs) for approaching the distant locations to receive attractive incentives for traveling. The main question addressed is that a number of tasks remain incomplete out of total al-located tasks. Moreover, the profitability and feasible budget constraints of the platform is also not considered. This paper presents Bargaining based Design Mechanism (BDM) to involve the nearest located MWs to improve the completion of tasks. The main method involves a bargaining based game model that increases the task completion ratio while considering the feasible budget constraint, platform profitability and social welfare. The proposed approach comprises of two algorithms: one for the selection of optimal MWs with low cost and less delay. Second is to organize bargaining for rewarding the platform on social welfare. Our work is validated by developing a testbed on Windows Azure cloud. Results prove that proposed BDM out-performs the counterparts in terms of decay coefficient, task completion ratio, participant’s winning ratio, fraction of task incompletion and social welfare.http://www.sciencedirect.com/science/article/pii/S2405959523000851Mobile Crowd Sensing (MCS)IoTGame theoryDesign mechanism |
| spellingShingle | Waqas Ahmad Ata Ullah Sheharyar N.Z. Jhanjhi Rania M. Ghoniem Sarfraz Nawaz Brohi Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoT ICT Express Mobile Crowd Sensing (MCS) IoT Game theory Design mechanism |
| title | Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoT |
| title_full | Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoT |
| title_fullStr | Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoT |
| title_full_unstemmed | Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoT |
| title_short | Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoT |
| title_sort | bargaining based design mechanism for delay sensitive tasks of mobile crowdsensing in iot |
| topic | Mobile Crowd Sensing (MCS) IoT Game theory Design mechanism |
| url | http://www.sciencedirect.com/science/article/pii/S2405959523000851 |
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