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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.
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.
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