Designing massive scale crowdsensing experiments using smartphones can be very challenging. In this work, we define a new approach for designing massive crowdsensing applications where we offload the burden of sensing from smartphones to low cost off-the-shelf Bluetooth Low Energy (BLE) proximity tags. We discuss the usage of advertisements in BLE tags as a new energy-efficient sensing resource for massive scale crowd mobility trace collection. We performed a large experimental deployment with 600 tags and 10 smartphones conducted during the 5 days of the world largest annual gathering (The Hajj). We were able to achieve ̃96% detectability rate while effectively reconstructing the routes of the participants.
Dr. Saleh Basalamah is an Associate Professor in the Department of Computer Engineering at Umm Al-Qura University. His research is in Spatial Systems, Multimedia and Computer Vision. He is also the co-founder and Deputy Director of the GIS Technology Innovation Center which is $13.3 Million grant by KACST (Saudi Funding Agency). He is a member of the advisory board for Makkah Techno Valley Company and a member of the board of trustees for Transportation and Crowd Management Center of Research Excellence.
Dr. Basalamah was the Dean of the College of Computing and Information Systems from 2009-2012 during which he initiated and led the process of ABET accreditation that was granted successfully. He also established the first CS & CE graduate program in the college. He had setup the vision to prioritize research in the college which lead to becoming the highest funded computing college in Saudi Arabia within 2 years.
Anas Basalamah is an Assistant Professor at the Computer Engineering Department of Umm Al Qura University. He is currently leading the Data Collection Research Thrust of KACST GIS Technology Innovation Center at Umm Al-Qura University. He did his MSc and PhD Degrees at Waseda University, Tokyo in 2006, 2009 respectively. He worked as a Post Doctoral Researcher at the University of Tokyo and the University of Minnestoa in 2010, 2011 respectively. His areas of interest include; Embedded Networked Sensing, Real-world applications of Networked Sensing, Ubiquitous Computing, Participatory and Urban Sensing.