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A context aware framework for mobile crowd-sensing

conference contribution
posted on 2017-01-01, 00:00 authored by Ali Hassani, P D Haghighi, P P Jayaraman, Arkady ZaslavskyArkady Zaslavsky
Context awareness plays ever increasing role in Mobile Crowd-Sensing (MCS), which relies on sensing capabilities of mobile devices to collect real-time user data and related context. The paper proposes a MCS framework for valuable data collection in order to enable smart applications. The paper also addresses a key challenge in MCS on how to reduce energy consumption in order to encourage user participation. The paper argues that to optimize task allocation costs, it is important for a given query to select the most appropriate participants according to the context of the device, the participant, and the sensing task. Context awareness can significantly reduce the sensing and communication costs. Yet to incorporate context awareness into MCS, there is a need for a standard and overarching context model. This paper proposes a multi-dimensional context model to capture related contextual information in the MCS domain, and incorporate it into a context-aware MCS framework to improve energy efficiency and support task allocation. The paper concludes with discussing implementation and evaluation of the proposed approach.

History

Event

French Association for Context. Conference (10th : 2017 : Paris, France)

Volume

LNAI 10257

Series

French Association for Context Conference

Pagination

557 - 568

Publisher

Springer

Location

Paris, France

Place of publication

Cham, Switzerland

Start date

2017-06-20

End date

2017-06-23

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319578361

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2017, Springer International Publishing AG

Editor/Contributor(s)

P Br├ęzillon, R Turner, C Penco

Title of proceedings

CONTEXT 2017 : Proceedings of the 10th International and Interdisciplinary Conference on Modeling and Using Context

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