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  1. Transactions on Intelligent Systems and Technology (TIST)
  2. ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 6
  3. Issue 3(Survey Paper, Regular Papers and Special Section on Participatory Sensing and Crowd Intelligence), May 2015
  4. EEMC: Enabling Energy-Efficient Mobile Crowdsensing with Anonymous Participants
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ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 8
ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 7
ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 6
Issue 4(Regular Papers and Special Section on Intelligent Healthcare Informatics), August 2015
Issue 3(Survey Paper, Regular Papers and Special Section on Participatory Sensing and Crowd Intelligence), May 2015
Trajectory Data Mining: An Overview
Identifying Authorities in Online Communities
Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information
Simplifying Data Disclosure Configurations in a Cloud Computing Environment
User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items
TerraFly GeoCloud: An Online Spatial Data Analysis and Visualization System
Significant Correlation Pattern Mining in Smart Homes
An Introduction to the Special Issue on Participatory Sensing and Crowd Intelligence
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility
Ohmage: A General and Extensible End-to-End Participatory Sensing Platform
EEMC: Enabling Energy-Efficient Mobile Crowdsensing with Anonymous Participants
City-Scale Social Event Detection and Evaluation with Taxi Traces
Activity Sensor: Check-In Usage Mining for Local Recommendation
An Event-Driven QoI-Aware Participatory Sensing Framework with Energy and Budget Constraints
Issue 2(Special Section on Visual Understanding with RGB-D Sensors), May 2015
Issue 1, April 2015
ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 5
ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 4
ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 3
ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 2
ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 1

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EEMC: Enabling Energy-Efficient Mobile Crowdsensing with Anonymous Participants

Content Provider ACM Digital Library
Author Xiong, Haoyi Gibson, J. Paul Zhang, Daqing Wang, Leye Zhu, Jie
Copyright Year 2015
Abstract Mobile Crowdsensing (MCS) requires users to be motivated to participate. However, concerns regarding energy consumption and privacy—among other things—may compromise their willingness to join such a crowd. Our preliminary observations and analysis of common MCS applications have shown that the data transfer in MCS applications may incur significant energy consumption due to the 3G connection setup. However, if data are transferred in parallel with a traditional phone call, then such transfer can be done almost “for free”: with only an insignificant additional amount of energy required to piggy-back the data—usually incoming task assignments and outgoing sensor results—on top of the call. Here, we present an Energy-Efficient Mobile Crowdsensing (EEMC) framework where task assignments and sensing results are transferred in parallel with phone calls. The main objective, and the principal contribution of this article, is an MCS task assignment scheme that guarantees that a minimum number of anonymous participants return sensor results within a specified time frame, while also minimizing the waste of energy due to redundant task assignments and considering privacy concerns of participants. Evaluations with a large-scale real-world phone call dataset show that our proposed $\textit{EEMC}$ framework outperforms the baseline approaches, and it can reduce overall energy consumption in data transfer by 54--66% when compared to the 3G-based solution.
Starting Page 1
Ending Page 26
Page Count 26
File Format PDF
ISSN 21576904
e-ISSN 21576912
DOI 10.1145/2644827
Volume Number 6
Issue Number 3
Journal ACM Transactions on Intelligent Systems and Technology (TIST)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-04-30
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Mobile crowdsensing Anonymous participants Energy efficiency Task assignment decision making
Content Type Text
Resource Type Article
Subject Artificial Intelligence Theoretical Computer Science
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