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Related Experiment Video

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Making Sense of Listening: The IMAP Test Battery

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Published on: October 11, 2010

SOBER-MCS: Sociability-Oriented and Battery Efficient Recruitment for Mobile Crowd-Sensing.

Fazel Anjomshoa¹, Burak Kantarci²

¹Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13699, USA. anjomsm@clarkson.edu.

Sensors (Basel, Switzerland)

|May 19, 2018

Summary

Recruiting users for mobile crowd-sensing (MCS) is challenging. A new policy, SOBER-MCS, uses social activity and battery levels to recruit participants, saving battery life and improving utility.

Keywords:

behaviometrics energy efficiency mobile crowd-sensing smart cities user profiling

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Area of Science:

Computer Science
Ubiquitous Computing
Mobile Computing

Background:

The Internet of Things (IoT) integrates connected devices, with mobile devices playing a key role in Mobile Crowd-Sensing (MCS).
Effective user recruitment is crucial for MCS success, requiring incentives for cooperative and trustworthy participants.
Smartphone battery drain is a significant concern for participants in sensing campaigns.

Purpose of the Study:

To propose a novel recruitment policy for MCS that addresses user incentivization and battery consumption.
To introduce the Sociability-Oriented and Battery-Efficient Recruitment for Mobile Crowd-Sensing (SOBER-MCS) policy.
To evaluate the effectiveness of SOBER-MCS in improving participant engagement and device battery life.

Main Methods:

Developed the SOBER-MCS policy, utilizing participant sociability and remaining smartphone battery power as selection criteria.
Simulated participant behavior using pre-existing sociability profiles in a large-scale MCS environment.
Assessed the impact of SOBER-MCS on battery savings and overall user and platform utilities.

Main Results:

SOBER-MCS demonstrated significant battery savings, up to 18.5%, for participating mobile devices.
The policy improved user utility by 12% and platform utility by 20% compared to baseline recruitment strategies.
Prioritizing personal use during critical battery levels was effectively managed by the SOBER-MCS policy.

Conclusions:

SOBER-MCS offers an effective solution for recruiting participants in MCS by balancing sensing demands with user battery constraints.
The proposed policy enhances the sustainability and efficiency of crowd-sensing campaigns.
Sociability and battery-aware recruitment are vital for the widespread adoption of mobile crowd-sensing in IoT ecosystems.