An egalitarian approach of scheduling time restricted tasks in mobile crowdsourcing for double auction environment
by Jaya Mukhopadhyay; Vikash Kumar Singh; Sajal Mukhopadhyay; Meghana M. Dhananjaya; Anita Pal
International Journal of Web and Grid Services (IJWGS), Vol. 17, No. 3, 2021

Abstract: Crowdsourcing with intelligent agent felicitated with portable smart devices is popularly known as mobile crowdsourcing (MCS) or participatory sensing (PS). To motivate the task executors for performing the available tasks has been a challenge in an MCS environment. In this paper we have addressed this issue in a double auction environment when the tasks are time restricted (each task has start time and finish time) and may be overlapped. Here, we have taken an egalitarian approach so that a balanced allocation of tasks can be established to the task executors. In this, first the tasks are partitioned into several slots in a non-overlapping manner and then allocated to the task executors through double auction. Our proposed mechanism satisfies several economic properties such as truthfulness, individual rationality, and budget balanced. It is also exhibited via simulation that our proposed mechanism performs better when the agents (task executors and task providers) misreport their valuations.

Online publication date: Tue, 27-Jul-2021

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