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Communication Range Dynamics and Performance Analysis for a Self-Adaptive Transmission Power Controller.

Néstor Lucas Martínez1, José-Fernán Martínez Ortega2, Vicente Hernández Díaz3

  • 1Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Universidad Politécnica de Madrid, Calle Alan Turing 3, 28031 Madrid, Spain. nestor.lucas@upm.es.

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Summary
This summary is machine-generated.

This study shows how Wireless Sensor and Actuator Networks (WSANs) can maintain connectivity by adapting transmission power. Optimal parameters ensure a stable k-connected network, balancing energy savings and reliable communication.

Keywords:
communication rangeconnectivityself-adaptive systemstransmission power controlwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor and Actuator Network (WSAN) node deployment is often suboptimal for radio communication due to coverage constraints.
  • Suboptimal node placement and external factors like interference can lead to connectivity failures in WSANs.
  • Control-based self-adaptive systems are crucial for enhancing energy efficiency while maintaining network connectivity.

Purpose of the Study:

  • To investigate the evolution of node communication range in an energy-saving, self-adaptive transmission power controller for WSANs.
  • To evaluate the impact of different parameter sets on WSAN connectivity in an outdoor environment.
  • To demonstrate a WSAN's ability to adapt to environmental changes and maintain connectivity.

Main Methods:

  • Simulated an outdoor WSAN scenario with an energy-saving, self-adaptive transmission power controller.
  • Analyzed the communication range of individual nodes across controller iterations using various parameter sets.
  • Assessed network k-connectivity, where k represents the desired node degree within a specified tolerance.

Main Results:

  • Different parameter sets significantly influence the communication range evolution of WSAN nodes.
  • The study identified specific parameter sets that effectively maintain network connectivity.
  • The best-performing parameters ensured a k-connected network, with k within the desired node degree plus/minus tolerance.

Conclusions:

  • Self-adaptive transmission power control is effective for WSANs in dynamic outdoor environments.
  • Careful parameter tuning is essential for achieving both energy efficiency and robust connectivity.
  • The proposed approach ensures a stable and reliable WSAN by maintaining a predictable level of network connectivity.