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A Quality-Assuring, Combinatorial Auction Based Mechanism for IoT-Based Crowdsourcing

Singh, Vikash Kumar, Mukhopadhyay, Sajal, Xhafa, Fatos and Krause, Paul (2020) A Quality-Assuring, Combinatorial Auction Based Mechanism for IoT-Based Crowdsourcing In: Advances in Edge Computing: Massive Parallel Processing and Applications. Advances in Parallel Computing, 35 . IOS Press, pp. 148-177. ISBN 978-1-64368-063-7

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Abstract

In this chapter, we study some research issues from IoT-based crowdsourcing in strategic setting. We have considered the scenario in the IoT-based crowdsourcing, where there are multiple task requesters and multiple IoT devices as task executors. Each task requester has multiple tasks, with the tasks having start and finish times. Based on the start and finish times, the tasks are to be distributed into different slots. On the other hand, in each slot, each IoT device requests for the set of tasks that it wants to execute along with the valuation that it will charge in exchange of its service. Both the requested set of tasks and the valuations are private informations. Given such scenario, the objective is to allocate the subset of IoT devices to the tasks in a non-conflicting manner with the objective of maximizing the social welfare. For the purpose of determining the unknown quality of the IoT devices we have utilized the concept of peer grading. Therefore, we have designed a truthful mechanism for the problem under investigation that also allows us to have the true information about the quality of the IoT devices.

Item Type: Book Section
Divisions : Faculty of Engineering and Physical Sciences > Computer Science
Authors :
NameEmailORCID
Singh, Vikash Kumar
Mukhopadhyay, Sajal
Xhafa, Fatos
Krause, PaulP.Krause@surrey.ac.uk
Date : March 2020
DOI : 10.3233/APC200006
OA Location : http://ebooks.iospress.nl/volume/advances-in-edge-computing-massive-parallel-processing-and-applications
Copyright Disclaimer : IOS Press Copyright 2018
Uncontrolled Keywords : Crowdsourcing, IoT devices, auctions, truthful, peer grading, quality
Depositing User : James Marshall
Date Deposited : 04 Mar 2020 16:14
Last Modified : 04 Mar 2020 16:14
URI: http://epubs.surrey.ac.uk/id/eprint/853866

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