Global urbanization, quality of life in cities-from air quality to mobility to equitable opportunity-and reducing negative impacts of cities on the natural environment are among the grand challenges of the 21st century. Within these challenges are critical research questions, suggesting that partnerships between the scientific community and city planners, designers, and operators-as well as city dwellers-will be essential. Catlett will discuss a series of collaborative interactions between the science community in Chicago and the City of Chicago, including the motivation and process behind the NSF-funded Array of Things project and how it is being replicated in other cities.

The success of intelligent transportation systems (ITS) relies on their ability to provide drivers and municipalities with accurate real-time information. Crowdsourcing has been shown effective in navigation systems where traffic congestion information is updated by drivers. Robust Crowdsensing for Intelligent Road Services presents a framework to collect crowd-based information, monitoring road conditions and hazards; and, driver-based information, including driving style, preferences, skills and experience, to build representative driver profiles. Our proposed system, iDriveSense, integrates sensor technologies available in both the vehicles and the driver smartphones to provide advanced, robust localization and accurate monitoring of vehicle dynamics and driver behavior. Robustness is achieved through calibration and cross-referencing on two levels: a single-driver level and a cloud multi-driver level. Moreover, we design efficient route selection algorithms based on driver preferences, supported by road conditions monitored and reported in real time. This includes learning route preferences based on monitoring both the routes taken by drivers, and the drivers' competence levels on different road types.

This talk will cover different RF-based device-free systems used for intrusion detection, localisation, activity recognition, among others based on ubiquitous wireless technologies such as WiFi, FM, and cellular networks. The talk ends by a road-map for open research challenges and future directions.

For several years now, IoT (Internet of Things) sensors and their corresponding cyber-infrastructure systems have been in place in various application domains including scientific instrumentation, power grid, health-care and others, becoming legacy IoT systems to care for by many IoT cyber-infrastructure providers. Furthermore, with the development of new sensing IoT devices, new IoT services and systems are emerging, waiting to be deployed. In this talk, we examine security challenges that are coming up with the legacy IoT systems, and discuss possible solutions via edge computing to enable older IoT devices serve longer in various IoT application domains. We present a concrete example, the BRACELET edge-cloud solution, to illustrate the protection of aging IoT devices in scientific instrumentation domain. We also elaborate on security and privacy threats in future IoT systems, give examples, and discuss the "good and bad" with new sensors/IoT devices in health-care domain.

Second half of the short paper poster presentations.

Moderator: Dr. Kemal Akkaya, Florida International University, Miami, FL

Panelists:

• Dr. Salil Kanhere, University of New South Wales, Australia
• Dr. Nikita Borisov, University of Illinois Urbana-Champaign, IL
• Dr. Klaus Wehrle, RWTH Aachen, Germany