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Area of Science:

  • * Electrical Engineering
  • * Computer Science
  • * Telecommunications

Background:

  • * Internet of Things (IoT) connectivity solutions must address diverse application needs across sectors like logistics and smart lighting.
  • * Key challenges include massive networks, low latency, long battery life, and precise location monitoring.
  • * The ability to provide location-based information is a critical requirement for future large-scale IoT networks.

Purpose of the Study:

  • * To emphasize the significance of positioning features for Internet of Things (IoT) applications.
  • * To establish a framework for comparing and evaluating the positioning capabilities of various connectivity protocols.

Main Methods:

  • * A compact and unified analysis of positioning capabilities across different IoT connectivity protocols.
  • * Inclusion of simulation-based and measurement-based case studies.
  • * Evaluation focused on accuracy, power consumption, and cost-effectiveness for low-power devices.

Main Results:

  • * Demonstrated feasibility of achieving high positioning accuracy on low-cost, low-power IoT devices.
  • * Analysis provides a comparative overview of positioning performance for different connectivity solutions.
  • * System design is a critical factor in enabling accurate location services for IoT.

Conclusions:

  • * Positioning capabilities are essential for the advancement and widespread adoption of IoT applications.
  • * Careful system design allows for the integration of accurate, low-power location services into IoT ecosystems.
  • * The findings support the development of more capable and versatile IoT solutions.