Implementing Dual Base Stations within an IoT Network for Sustaining the Fault Tolerance of an IoT Network through an...

Area of Science:

• Computer Science
• Network Engineering
• Telecommunications

Background:

• Mission-critical Internet of Things (IoT) networks require robust remote communication layers between cluster heads and microcontrollers.
• Existing cellular-based remote communication using single or dual base stations presents significant risks, including zero fault tolerance upon breakdown and increased latency due to remoteness.
• Seamless integration challenges arise when cluster heads fall outside the spectrum of secondary base stations in dual-station setups.

Purpose of the Study:

• To develop an intelligent relay-based network architecture for IoT systems.
• To enhance fault tolerance and reduce communication latency in mission-critical IoT applications.
• To overcome the limitations of traditional single and dual base station communication models.

Main Methods:

• Implementation of an intelligent relay-based network.
• Development of a shortest path fetching mechanism for communication.
• Evaluation of the proposed network's fault tolerance and latency reduction capabilities.

Main Results:

• The proposed relay-based network significantly improves the fault tolerance of IoT networks.
• A notable improvement of 14.23% in fault tolerance was demonstrated.
• The intelligent shortest path selection effectively reduces communication latency.

Conclusions:

• The intelligent relay-based network offers a superior solution for mission-critical IoT applications compared to traditional base station approaches.
• This method enhances network reliability and performance by ensuring continuous communication and minimizing delays.
• The findings support the adoption of intelligent relay networks for robust IoT deployments.