|Monday, October 9|
|13:30-13:45||OnMove: Welcome and Opening Remark|
|13:45-15:15||OnMove: Paper session 1|
|16:30-17:30||OnMove: Paper session 2|
Monday, October 9, 13:30 - 13:45
OnMove: Welcome and Opening Remark
Room: TBA. Chair: Soumaya Cherkaoui (Université de Sherbrooke, Canada).
Monday, October 9, 13:45 - 15:15
OnMove - Paper Session 1
Room: TBA. Chair: TBA.
- Selection of Energy Efficient Routing Protocol for Irrigation Enabled by Wireless Sensor Networks Zainal Abedin (USTC, Bangladesh); Sukanta Paul and Sharmin Akther (University of Science and Technology, Chittagong, Bangladesh); Kazy Noor E Alam Siddiquee (University of Science and Technology Chittagong, Bangladesh); Mohammad Shahadat Hossain (University of Chittagong, Bangladesh); Karl Andersson (Luleå University of Technology, Sweden)
- QoS-oriented Adaptation Management in Networked Multi-vehicle Cruise Control Systems Arun Adiththan (City University of New York - CUNY Graduate Center, USA); Kaliappa Ravindran (City University of New York, USA)
- Enhancement of AODV Routing Protocol by Using Large Vehicles in VANETs on Highway Taku Noguchi and Kanta Hayashi (Ritsumeikan University, Japan)
Monday, October 9, 15:30 - 16:30
Keynote: Using Vehicular Data to Understand Urban Mobility & Events
Dr. Archan Misra, Singapore Management University, Singapore, read bio
Cities are increasingly providing public access to a variety of transportation-related "big data", such as the real-time location of taxis, crowdedness level of buses and arrival times of trains. In this talk, Archan will introduce the concept of socio-physical analytics, which fuses such transportation-related data across multiple modalities (such as buses, taxis and parking garages) with social media sensing to identify and characterize urban micro-events. Archan will describe two distinct families of event detection, both of which aid the goal of improved understanding and optimizing of personal urban mobility. One combines such transportation data with sensor data from personal mobile devices (of a fraction of commuters) to obtain novel insights into commuting experiences (e.g., the waiting time at taxi stands). The other combines multi-modal transportation data (e.g., occupancy levels of buses, dropoff and pickup rates of taxis) with social media data (e.g., Twitter & Foursquare) to both identify and localize urban micro-events.
Monday, October 9, 16:30 - 17:30
OnMove - Paper Session 2
Room: TBA. Chair: TBA.
- Users on the Move: On Relationships Between QoE Ratings, Data Volumes and Intentions to Churn Markus Fiedler (Blekinge Institute of Technology, Sweden); Katrien De Moor (Norwegian University of Science and Technology (NTNU), Norway); Hemanth Ravuri (Blekinge Institute of Technology, Norway); Prithvi Tanneedi and Mounika Chandiri (Blekinge Institute of Technology, Sweden)
- Defense Against Malicious UAVs with an Autonomous and Networked UAV Defense Swarm Matthias R. Brust (Singapore University of Technology and Design, Singapore); Grégoire Danoy and Pascal Bouvry (University of Luxembourg, Luxembourg)