Smart Path-Finding with Local Information in a Sensory Field

  • Wenzhe Zhang
  • Minglu Li
  • Wei Shu
  • Min-You Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4325)


Field surveillance is one of the most important applications for wireless sensor networks. Many sensors are deployed in a region of concern to detect any potential targets. On the contrary, intelligent target looks for the best path to traverse the sensing field for fear of being detected and leads to defunct surveillance. In this paper, we focus on how an intelligent target traverses the sensing field. We model this traversing problem, design, implement and evaluate a number of path-finding algorithms. Different from previous works which assume complete information of the sensing field, we assume that the target only can detect part of the sensor network in its detection radius. This makes the proposed methods more practical. Extensive experiments with a target and a sensor network confirm the validity of the approach.


Sensor Network Sensor Node Wireless Sensor Network Angle Preference Voronoi Diagram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wenzhe Zhang
    • 1
  • Minglu Li
    • 1
  • Wei Shu
    • 2
  • Min-You Wu
    • 1
  1. 1.Dept. of CSEShanghai Jiaotong UniversityShanghaiChina
  2. 2.Dept. of ECEthe University of New MexicoUSA

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