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On Target Localization Using Combined RSS and AoA Measurements.

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This summary is machine-generated.

This study reviews wireless sensor network (WSN) target localization using received signal strength (RSS) and angle of arrival (AoA). It analyzes state-of-the-art methods, computational complexity, and simulation results for improved WSN localization strategies.

Keywords:
angle of arrival (AoA)hybrid measurementsreceived signal strength (RSS)target localization and trackingwireless sensor network (WSN)

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Area of Science:

  • Wireless Sensor Networks (WSNs)
  • Localization Algorithms
  • Signal Processing

Background:

  • Target localization in WSNs is crucial for various applications.
  • Received Signal Strength (RSS) and Angle of Arrival (AoA) are increasingly utilized for localization.
  • Existing solutions vary in computational complexity and performance.

Purpose of the Study:

  • To comprehensively review and analyze state-of-the-art (SoA) target localization solutions in WSNs.
  • To compare different approaches, including convex relaxation, generalized trust region sub-problems, and linear least squares.
  • To evaluate the computational complexity and simulation performance of these methods.

Main Methods:

  • Review of existing literature on RSS/AoA-based WSN localization.
  • Analysis of algorithms based on convex relaxation techniques.
  • Examination of computationally less complex methods like generalized trust region sub-problems and linear least squares.
  • Computational complexity analysis and simulation-based performance evaluation.

Main Results:

  • Identification of trade-offs between computational complexity and accuracy among different localization techniques.
  • Presentation of extensive simulation results comparing the performance of various SoA solutions.
  • Detailed analysis of the strengths and weaknesses of each reviewed method.

Conclusions:

  • The study provides a clear overview of current RSS/AoA localization techniques in WSNs.
  • It highlights the importance of considering computational complexity alongside localization accuracy.
  • Future research directions and trends in WSN localization are identified.