A Location-Based Incentive Algorithm For Consecutive Crowd Sensing Tasks

Keywords

Graph Set Cover; Location-based Services; Participatory Sensing

Abstract

Crowd Sensing (CS) is a sensing paradigm that takes advantage from the increasing use of mobile smart devices and their capabilities for sensing and computation. In this paper, we present an incentive mechanism for encourage user participation in schemes of sensing that requires consecutive and regular sampling. The proposed mechanism uses a recurrent reverse auction that no only takes into account the sample price, but also the participants location. We show that our mechanism achieves an optimal budget utilization while guarantees area coverage and a sufficient number of participants in every round.

Publication Date

2-1-2016

Publication Title

IEEE Latin America Transactions

Volume

14

Issue

2

Number of Pages

811-817

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TLA.2016.7437227

Socpus ID

84964336837 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84964336837

This document is currently not available here.

Share

COinS