| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | July 20, 2012 |
| Latest Amendment Date: | May 3, 2013 |
| Award Number: | 1217611 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Thyagarajan Nandagopal
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | August 1, 2012 |
| End Date: | July 31, 2015 (Estimated) |
| Total Intended Award Amount: | $210,000.00 |
| Total Awarded Amount to Date: | $226,000.00 |
| Funds Obligated to Date: |
FY 2013 = $16,000.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
660 S MILL AVENUE STE 204 TEMPE AZ US 85281-3670 (480)965-5479 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
Tempe AZ US 85281-6011 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): |
Special Projects - CNS, Networking Technology and Syst |
| Primary Program Source: |
01001314DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
Sensors on mobile phones can enable attractive sensing applications in different domains such as environmental monitoring, social network, healthcare, etc. However, fundamental energy-efficient resource management problems have not been well studied for mobile phone sensing. In addition, how to provide incentives to attract user participation has not been well addressed. The objective of this project is to develop a unified and green platform for mobile phone sensing, optimize its performance by designing energy-efficient algorithms for sensing task management, and develop game-theoretic incentive mechanisms to attract user participation. The proposed research is organized into four cohesive research thrusts: 1) Design and implement a unified software architecture to enable support for various sensing applications. 2) Develop both platform-centric and user-centric incentive mechanisms to attract user participation. 3) Develop energy-efficient algorithms to manage sensing tasks. 4) Test the developed platform and algorithms via simulation and real experiments. This research will result in a unified and green mobile phone sensing system. Fundamental resource management problems will be solved by theoretically-sound and practical algorithms. The project will also result in novel incentive models and mechanisms for mobile phone sensing. In addition, the proposed platform can create a completely new type of online marketplace. The proposed energy-efficient algorithms can benefit both mobile users and the environment. The project is also expected to advance public understanding of mobile phone sensing via publications, seminars and workshops.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Mobile devices such as smartphones and tablets are becoming an indispensable part of people’s life. These mobile devices are equipped with a rich set of sensors and communication and computing capabilities. When used properly, these mobile devices can form a powerful sensor network. Mobile phone sensing has many applications in different domains such as environmental monitoring, social networking, healthcare, etc. However, fundamental energy-efficient resource management problems have not been well studied for mobile phone sensing. In addition, how to provide incentives to attract user participation has not been well addressed. The objective of this project is to develop a unified and green platform for mobile phone sensing, optimize its performance by designing energy-efficient algorithms for sensing task management, and develop game-theoretic incentive mechanisms to attract user participation.
This research made significant advances in the area of mobile phone sensing. Specific outcomes include (1) an energy efficient mobile phone sensing system, which provides a web-based interface for mobile phone users to interact with the system to participate in mobile phone sensing. As an application of the mobile phone sensing system, an objective ranking system was developed which enables personalized ranking of services. (2) Attractive incentive mechanisms are designed that can be used to attract users to participate in the mobile phone activities. These incentive mechanisms are designed according to several economic properties such that the mechanisms discourage market manipulation. (3) The concept of mobile phone sensing was generalized to mobile crowdsourcing which has become a new paradigm for computing and networking. Simple and effective incentive mechanisms were designed for mobile crowdsourcing.
The research results of this project have generated a big impact on the research community. The incentive mechanisms for mobile phone sensing designed from this project has become a fundamental result in incentive mechanism design for mobile crowdsourcing.
Two PhD students who worked on this project graduated and joined academia and industry respectively. A female African American graduate student also participated in this project. A female undergraduate student also gained experience via participation of this project through the NSF REU (Research Experiences for Undergraduates) program. Therefore, the project also played a role in the integration of under-represented groups to the scientific community.
Last Modified: 11/21/2015
Modified by: Guoliang Xue
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