Award Abstract #1205656
CI-ADDO-NEW: PhoneLab: A Programmable Participatory Smartphone Testbed

NSF Org:	CNS Division Of Computer and Network Systems
Initial Amendment Date:	June 13, 2012
Latest Amendment Date:	August 5, 2013
Award Number:	1205656
Award Instrument:	Standard Grant
Program Manager:	Thyagarajan Nandagopal CNS Division Of Computer and Network Systems CSE Direct For Computer & Info Scie & Enginr
Start Date:	June 1, 2012
End Date:	December 31, 2016 (Estimated)
Awarded Amount to Date:	$1,358,510.00
Investigator(s):	Geoffrey Challen challen@buffalo.edu (Principal Investigator) Steven Ko (Co-Principal Investigator) Chunming Qiao (Co-Principal Investigator) Tevfik Kosar (Co-Principal Investigator) Murat Demirbas (Co-Principal Investigator)
Sponsor:	SUNY at Buffalo 520 Lee Entrance Amherst, NY 14228-2567 (716)645-2634
NSF Program(s):	SPECIAL PROJECTS - CISE, COMPUTING RES INFRASTRUCTURE
Program Reference Code(s):	7359, 7363, 9251
Program Element Code(s):	1714, 7359

ABSTRACT

The mass deployment of smartphones is changing the world around us. Growing numbers of users carry a powerful computing, communication and sensing platform in their pocket, and the growing worldwide network of smartphones already constitutes the most powerful and pervasive distributed system ever built. Today there are two primary methods for performing smartphone experimentation: distributing experiments through an application marketplace, or assembling a group of participants for a single study. Unfortunately, both of these approaches fail to provide the power, scale, realism and density necessary to enable next-generation mobile computing research.

PhoneLab is a public testbed enabling smartphone research at a scale not previously possible. PhoneLab provides programmatic access to a large group of participants at SUNY Buffalo. Participants use their PhoneLab smartphone as their primary device, generating high geographic density and representative usage patterns. PhoneLab allows researchers to distribute applications or modify the core smartphone platform, facilitating a broad range of experiments. By providing repeated access to the same participants, results can be validated, competing approaches can be compared, and new experiments can utilize existing data. PhoneLab's capabilities will accelerate smartphone research and lead to advances in wireless networking, distributed and mobile systems, mobile sensing, social networking, and crowdsourcing. PhoneLab will also play a vital role in teaching and learning, enabling both new assignments at the college level and secondary school science projects. By exposing students to the transformative power of smartphones, PhoneLab will excite the next generation of computer scientists.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Tong Guan, Wen Dong, Dimitrios Koutsonikolas, Geoffrey Challen, and Chunming Qiao. "Robust, Cost-Effective and Scalable Localization in Large Indoor Areas," Proceedings of the 2015 Global Communications Conference, Exhibition, and Industry Forum, 2015.

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