Deployment Strategies for Differentiated Detection in Wireless Sensor Networks

Abstract

In this paper, we address the deployment problem for differentiated detection requirements, in which the required detection probability thresholds at different locations are different. We focus on differentiated deployment algorithms that are applied to the probabilistic detection model, since it is more realistic than the binary detection model. We show that the relationship between the node deployment strategy and the logarithmic collective miss probability distribution is Linear Shift Invariant (LSI). Using this property, we formulate the differentiated deployment problem as an integer linear programming problem, which is a well known NP-hard problem. We propose a differentiated node deployment algorithm called DIFF DEPLOY, which achieves much better performance than the state-of-the-art node deployment algorithm for both uniform and differentiated detection requirements.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA465201

Entities

People

  • Jingbin Zhang
  • Sang H. Son
  • Ting Yan

Organizations

  • University of Virginia

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Computer Science
  • Deployment
  • Detection
  • Detectors
  • Environment
  • Image Processing
  • Integer Programming
  • Linear Programming
  • Moving Targets
  • Networks
  • Probability
  • Probability Distributions
  • Sensor Networks
  • Surveillance
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Approximation Theory.
  • Computer Networking
  • Operations Research