Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2007, Vol. 30 ›› Issue (6): 27-31.doi: 10.13190/jbupt.200706.27.025

• Papers • Previous Articles     Next Articles

Critical Node Density Thresholds for Collaborative Detection in Large Scale WSN

ZOU Xue-yu1, CAO Yang1,2   

  1. 1. School of Electronic Information, Wuhan University, Wuhan 430072, China;
    2. State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China
  • Received:2007-02-04 Revised:2007-04-03 Online:2007-12-31 Published:2007-12-31
  • Contact: ZOU Xue-yu

Abstract:

Taking collaborative detection probability of mobile targets as coverage evaluating index in large-scale wireless sensor networks(WSN), a triangular analytical model(TAM)is proposed to analyze the normalization density of randomly deployed nodes in a 2-dimensional region. Binomial distribution and normalization methods are used to calculate the worst-case upper bounds on the nodes normalized critical density threshold (NNCDT) with 3 collaborative sensors and normalized path length (NPL) less than 1. The effects of sensor nodes normalized density on the collaborative detection performance are discussed. The influences of mobile targets speed, sensor’s measurement time and decision threshold on NNCDT are analyzed. Simulations show that NNCDT can be exactly determined by the collaborative detection probability and NPL, and can provide a reference for determination of sensors density needed for certain performance in random deployment.

Key words: wireless sensor networks, detection probability, node normalized critical density threshold, coverage, collaborative detection

CLC Number: