Analysis of Wi-SUN FAN Network Formation Time

Area of Science:

• Computer Networking
• Wireless Communication Systems
• Internet of Things (IoT)

Background:

• The Wireless Smart Ubiquitous Network Field Area Network (Wi-SUN FAN) standard is crucial for smart meters, cities, and IoT devices.
• Challenges exist in Wi-SUN FAN network formation, particularly the slow process of node discovery, joining, and network establishment in multihop environments.
• Existing methods for measuring network formation time, such as large-scale experiments or complex simulations, are often costly, time-consuming, or difficult to replicate.

Purpose of the Study:

• To address the limitations in analyzing Wi-SUN FAN network formation time.
• To implement and validate an efficient simulation-based approach for assessing Wi-SUN FAN network performance.
• To facilitate the development of techniques for reducing Wi-SUN FAN network training time.

Main Methods:

• Implementation of the Wi-SUN FAN network formation process within the Contiki-NG open-source operating system.
• Integration and utilization of the Cooja simulator with added functionality for efficient network performance analysis.
• Estimation of network formation times through simulations in various indoor environments.

Main Results:

• A novel simulation-based methodology was successfully implemented using Contiki-NG and Cooja.
• The developed tool enables efficient analysis of Wi-SUN FAN network formation performance.
• Simulated results demonstrated a good correspondence with experimental data, validating the proposed approach.

Conclusions:

• The implemented simulation tool provides an efficient and accessible method for studying Wi-SUN FAN network formation.
• This approach overcomes the limitations of traditional experimental and simulation methods.
• The findings facilitate future research into optimizing Wi-SUN FAN network training times for various applications.