Skip to main content

Research Repository

Advanced Search

Bargaining based design mechanism for delay sensitive tasks of mobile crowdsensing in IoT

Ahmad, Waqas; Ullah, Ata; Sheharyar; Jhanjhi, N. Z.; Ghoniem, Rania M.; Brohi, Sarfraz Nawaz

Bargaining based design mechanism for delay sensitive tasks of mobile crowdsensing in IoT Thumbnail


Authors

Waqas Ahmad

Ata Ullah

Sheharyar

N. Z. Jhanjhi

Rania M. Ghoniem

Sarfraz Nawaz Brohi



Abstract

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.

Journal Article Type Article
Acceptance Date Jul 11, 2023
Online Publication Date Jul 15, 2023
Publication Date Feb 28, 2024
Deposit Date Sep 11, 2023
Publicly Available Date Apr 11, 2024
Journal ICT Express
Electronic ISSN 2405-9595
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 10
Issue 1
Pages 111-117
DOI https://doi.org/10.1016/j.icte.2023.07.006
Public URL https://uwe-repository.worktribe.com/output/11018304

Files





You might also like



Downloadable Citations