Scientific Challenges in Data and Event-driven Smart City Service and Applications (SDESS 2016)

8:30-9:30 Keynote Presentation : Living on the Edge - Stream Data Processing at Scale (Roger Barga - Amazon)
10:00-12:30 Session 1
Social Life Network as a Platform for Smart Cities
Presenter and author: Dr. Ramesh Jain
Urban Analytics for Smart Cities - Connecting Data to People
Presenter and authors: Kristin Tufte
Mobile Privacy-Preserving Crowdsourced Data Collection in the Smart City
Authors: Joshua Joy (Presenter), Ciaran McGoldrick, and Mario Gerla

A personalized caching scheme for mobile Location-based Social Networks
Authors: D. Tomaras, I. Boutsis, V. Kalogeraki (Presenter), D. Gunopulos

12:30-1:00 Lunch
1:30-2:30 Session 2
EnviroSCALE: IoT based Air Monitoring System for Community Wellness in Developing Cities
Authors: Mahmud Rahman Hera, Amatur Rahman, Afia Afrin, Md Yusuf
Sarwar Uddin (Presenter), Qiuxi Zhu, Nalini Venkatasubramanian

Drone Swarms for Urban Sensing

Abstract: Urban sensing refers to the collection of data from urban (city) environments, aggregating and learning from the data, then using the processed data in making near term decisions. Sensing traffic data by loop detectors and video cameras and using the data to modify traffic light delays, detecting and responding to noise pollution problems, and monitoring chemical pollution levels are all examples of urban sensing. Traditional urban sensing approaches suffer many drawbacks, including significant installation and maintenance costs, and poor coverage in rural areas. Drones an drone swarms can serve as a cheap and effective alternative to traditional approaches. We introduce some of the challenges of using drones for urban sensing, and the tools which can be used to solve them. We motivate the need for drone swarms in urban sensing as opposed to individual drones, and introduce the challenges and solutions for coordinating swarm actions. As a case in point we discuss the Q-learning implementation we used to attack the broadcast storm problem in drone swarm communication. In this talk, we will illustrate our ongoing work on adaptive data processing and dissemination for drone swarms in urban sensing.

Author and Presenter: Dmitri Arkhipov

TransitHub: A multi-variate predictive decision support system for public transit
Authors: Fangzhou Sun, Shashank Shekhar, Abhishek Dubey, Aniruddha Gokhale (Presenter)
2:30-3:00 Coffee Break
3:00-4:00 Open Discussions