Novel Modification of the Collective Dynamic Routing Method for Sensors' Communication in Wi-Fi Public Networks

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• The proliferation of Internet of Things (IoT) devices necessitates efficient network solutions for simultaneous user and sensor access on public IP networks.
• Reducing energy consumption in subscriber devices is critical for enabling widespread IoT adoption and sustained operation.

Purpose of the Study:

• To analyze the effectiveness of the collective dynamic routing method for wireless sensors in public networks.
• To develop and evaluate a novel modification of the collective dynamic routing method aimed at reducing sensor energy consumption while maintaining high data rates and low latency for users.

Main Methods:

• Comparative analysis of the collective dynamic routing method with and without robust channel data rate estimation for sensor communication.
• Development of a modified collective dynamic routing algorithm.
• Simulation and analysis of network load, data transfer rates, and sensor energy consumption on an IEEE 802.11ax network segment.

Main Results:

• The novel modification of the collective dynamic routing method significantly reduces sensor energy consumption.
• The proposed method maintains high data rates and short delivery times for users.
• Simulations confirmed the high efficiency of the modified method in providing simultaneous access for users and wireless sensors.

Conclusions:

• The developed modified collective dynamic routing method offers an efficient solution for managing energy consumption in IoT sensor networks operating on public IP infrastructure.
• This approach balances the need for reduced sensor power usage with the demand for high-performance data delivery to users, enhancing overall network utility.