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Distributed Power Allocation for Wireless Sensor Network Localization: A Potential Game Approach.

Mingxing Ke1,2, Ding Li3, Shiwei Tian4

  • 1PLA Army Engineering University, Nanjing 210007, China. lgdxkemingxing@163.com.

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|May 9, 2018
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Summary
This summary is machine-generated.

This study introduces a game theory approach for distributed power allocation in wireless sensor networks (WSN) to optimize localization accuracy and power consumption. The proposed game ensures a stable equilibrium, improving performance over existing methods.

Keywords:
localization accuracypotential gamepower allocationwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Game Theory

Background:

  • Wireless Sensor Networks (WSN) localization faces challenges in balancing accuracy and power.
  • Existing methods often minimize individual node errors without considering the service area or target node distribution.

Purpose of the Study:

  • To develop a novel distributed power allocation strategy for WSN localization.
  • To optimize the trade-off between localization accuracy and power consumption in WSNs.

Main Methods:

  • A game theoretic approach is proposed, formulating a power allocation game.
  • Anchor nodes minimize the square position error bound (SPEB) penalized by power.
  • The game is proven to be an exact potential game with at least one pure Nash equilibrium (NE).
  • The existence of an ε-equilibrium point is proven, reachable via better response dynamics.

Main Results:

  • Proposed strategies achieve better localization accuracy than uniform strategies when prior distribution information is available.
  • Performance surpasses second-order cone programming (SOCP) based strategies when prior distribution is unknown, using estimated distributions.
  • The strategies offer a clear trade-off between power consumption and localization accuracy.

Conclusions:

  • The proposed game theoretic power allocation is effective for WSN localization.
  • The approach provides a robust method for balancing accuracy and power efficiency.
  • This work offers valuable insights for designing efficient WSN localization systems.