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Abstract: We propose a novel vision for roadway safety warning based on sensor networks, aiming at providing user-friendly zero-delay safety warnings to motorists. Our idea leverages the advanced sensing, networking and storage technologies. Roadway sensors detect events and store event records at multiple designated locations along the against traffic direction, such that the passing-by drivers can be alerted to potential dangers or traffic delays through the wireless communication between roadway sensors and the vehicle. We design a location-centric storage (LCS) protocol, which manages the propagation and storage of event records based on the time needed to clear the road. In LCS, the density of the sensors storing an event record decreases logarithmically with respect to the distance to the event location. Thus, the closer to the event position, the more number of warnings a driver may obtain. LCS is further tailored for the case of “highway” sensor networks when all sensors are deployed along a straight line mimicking a highway, and the more complex case when two roads intersect at some place. We conduct both theoretic analysis and simulation study to verify the performance of LCS when applied to roadway sensor networks for safety warning. The results indicate that LCS is fair to all sensors. We conclude that roadway safety warning based on sensor networks is a promising idea for realizing ITS''s “Zero Fatality, Zero Delay” roadway safety philosophy. [Copyright &y& Elsevier]

In this article, we propose a novel networking paradigm called Small-world SSDNet, servicing applications such as public safety, proximity based services, and fog computing based on device-todevice multi-hop wireless communications. The "small-world" feature is determined by the service area, whose size is usually within a community level, and the well known small-world properties existing in SSDNets; the "super-dense" feature comes from the fact that the increased direct communication range and the popularity of 5G and IoT devices jointly result in a large number of devices within a single-hop communication range. This article first formally defines SSDNet. Then the challenges and the opportunities brought by the design and the implementation of the SSDNet protocols and applications are addressed. Finally, the broader discussions on issues relevant to modeling, engineering, and dissemination are provided. [ABSTRACT FROM AUTHOR]

Radio-frequency identification (RFID) systems on roads (RSR) is a recently developed framework that focuses on enhancing transportation safety. In RSR, large-scale passive RFID tags with road-related information are deployed on road surfaces or roadside units. A vehicle with an onboard RFID reader can acquire road information via reading from these RFID tags. As a result, it is critical to update the tags with the latest road information (particularly emergent alerts) in a timely manner in RSR. In this paper, we design a novel cluster-based information diffusion scheme that aims to quickly and accurately update the contents of the RFID tags. To the best of our knowledge, our work is the first to focus on the problem of updating RFID tags in RSR. Our proposed scheme organizes RFID tags into clusters. The emergent information and update status of these clustered tags can be read by vehicles passing by. These vehicles can exchange such information with each other via vehicle-to-vehicle (or vehicle-to-infrastructure) (V2V or V2I) communications. After synthesizing the received information, these vehicles can update the nearby tags and spread the information accordingly. Our extensive simulation results demonstrate that our proposed information diffusion scheme can effectively update the tags within a certain time constraint under various scenarios. [ABSTRACT FROM AUTHOR]