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Many car manufacturers are planning to install wireless connectivity equipment in their vehicles to enable communications with "roadside base station" and also between vehicles, for the purposes of safety, driving assistance, and entertainment. One distinct feature is that vehicles are highly mobile, with speed up to 30 m/s, though their mobility patterns are more predictable than those of nodes in Mobile Ad-hoc Networks (MANET) due to the constraints imposed by road, speed limits, and commuting habits. Therefore, these networks require specific solutions and identify a novel research area, i.e., Vehicular Ad-hoc Networks (VANET). VSNs can be built on top of VANET by equipping vehicles with onboard sensing devices as shown in the above figure. Here, sensors can gather not only safety-related information, e.g., seat occupation, but also more complex multimedia data, e.g., video data. Unlike traditional sensor networks, VSNs are not subject to major memory, processing, storage, and energy limitations. However, the typical scale of a VSN over wide geographic areas (e.g., millions of nodes), the volume of generated data (e.g., streaming data), and mobility of vehicles make it infeasible to adopt traditional sensor network solutions where sensed data tends to be systematically delivered to sinks using data-centric protocols such as Directed Diffusion. Further, the mobility of sensor nodes makes it less efficient to use mobile agents, or MULEs in static sensor networks, which pick up data from sensors when in close range, buffer it, and drop off the data to wired access points. This project mainly focuses on developing efficient data gathering, searching protocols. Moreover, the goal includes test-bed implementation and middleware software development.

Besides DSRC, we can utilize cellular communications (2/3G) via Smartphones. Recent Smartphones are equipped with various sensors such as GPS, camera, audio, and video, and support various communications means such as 2/3G, WiFi, and Bluetooth. Bluetooth enables us to connect other external sensors via a wireless data acquisition board. The particular importance of 2/3G connection is that it gives an always-on Internet connection, which makes data access and retrieval amenable. In this project, we also develop networking protocols and database engines to support such applications.


  • Uichin Lee, Eugenio Magistretti, Mario Gerla, Paolo Bellavista, Pietro Lio, Kang-Won Lee, " Bio-inspired Multi-Agent Data Harvesting in a Proactive Urban Monitoring Environment" Ad Hoc Networks Journal (Elsevier), Special Issue on Bio-Inspired Computing and Communication in Wireless Ad Hoc and Sensor Networks (to appear) [PDF]

  • Uichin Lee, Eugenio Magistretti, Mario Gerla, Paolo Bellavista, Antonio Corradi "Dissemination and Harvesting of Urban Data using Vehicular Sensor Platforms," IEEE Transaction on Vehicular Technology (to appear) [PDF]

  • Uichin Lee, Eugenio Magistretti, Biao Zhou, Mario Gerla, Paolo Bellavista, Antonio Corradi "MobEyes: Smart Mobs for Urban Monitoring with a Vehicular Sensor Network," IEEE Wireless Communications [PDF][PPT]

  • Uichin Lee, Eugenio Magistretti, Biao Zhou, Mario Gerla, Paolo Bellavista, Antonio Corradi "Efficient Data Harvesting in Mobile Sensor Platforms," Second IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS 2006), Pisa, Italy, March, 2006. [PDF]

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