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A Max-Flow Based Algorithm for Connected Target Coverage with Probabilistic Sensors.

Anxing Shan1, Xianghua Xu2, Zongmao Cheng3

  • 1School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China. 141050025@hdu.edu.cn.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

This study addresses connected target coverage in wireless sensor networks (WSNs) using a probabilistic sensing model for accurate quality assessment. An approximation algorithm, MVMFA, is proposed to minimize sensors while ensuring coverage and connectivity.

Keywords:
WSNconnectivityprobabilistic sensortarget coverage

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Coverage and connectivity are critical in wireless sensor networks (WSNs).
  • Existing research often uses the simplified Boolean disk model for sensing.
  • A more accurate probabilistic sensing model is needed for practical WSN applications.

Purpose of the Study:

  • To address the connected target coverage problem using a probabilistic sensing model.
  • To develop an algorithm that minimizes sensor deployment while ensuring coverage and connectivity.
  • To analyze the performance and effectiveness of the proposed algorithm.

Main Methods:

  • Formulated the minimum €-connected target coverage problem based on collaborative detection probability.
  • Mapped the problem to a flow graph.
  • Developed the minimum vertices maximum flow algorithm (MVMFA) as an approximation algorithm.

Main Results:

  • The MVMFA algorithm provides provable time complexity and approximation ratios.
  • Theoretical analysis and extensive simulations demonstrate the algorithm's effectiveness.
  • The probabilistic model offers a more accurate characterization of coverage quality.

Conclusions:

  • The proposed MVMFA algorithm effectively solves the €-connected target coverage problem in WSNs.
  • The probabilistic sensing model enhances the accuracy of coverage analysis in WSNs.
  • This research contributes to optimized sensor deployment strategies for WSNs.