Location-centric storage for safety warning based on roadway sensor networks

  • Authors:

  • Kai Xing;Xiuzhen Cheng;Fang Liu;Shmuel Rotenstreich

  • Affiliations:

  • Department of Computer Science, The George Washington University, 801 22nd St. NW, Suite 704, Washington, DC 20052, USA;Department of Computer Science, The George Washington University, 801 22nd St. NW, Suite 704, Washington, DC 20052, USA;Department of Computer Science, The George Washington University, 801 22nd St. NW, Suite 704, Washington, DC 20052, USA;Department of Computer Science, The George Washington University, 801 22nd St. NW, Suite 704, Washington, DC 20052, USA

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2007

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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.