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Technique for Applying Collective Dynamic Routing Method in a Wireless Heterogeneous Network with Sensors
Sergey Kozlov1, Elena Spirina1, Alexey Ulanov1
1Radio-Electronic and Telecommunication Systems Department, Kazan National Research Technical University Named After A. N. Tupolev-KAI, Kazan 420111, Russia.
Sensors (Basel, Switzerland)
|August 13, 2026
Summary
This study introduces a collective dynamic routing method for managing data in heterogeneous networks. The optimal configuration for mobile users and sensors uses Wi-Fi 5 and Wi-Fi 2.4 subnets, reducing network load and increasing data transfer rates.
Area of Science:
- Computer Science
- Network Engineering
- Wireless Communication
Background:
- Managing data flows in heterogeneous networks with diverse user types (mobile users, sensors) presents significant challenges.
- Existing network structures often struggle to efficiently handle simultaneous data demands from both mobile and sensor devices.
- Optimizing network performance requires adaptive routing strategies that consider varying subnet capabilities.
Purpose of the Study:
- To develop and validate a collective dynamic routing method for jointly managing data flows in a heterogeneous network.
- To propose and evaluate a heterogeneous network structure comprising 802.15.4, Wi-Fi 2.4, and Wi-Fi 5 subnets.
- To assess the effectiveness of this method for networks supporting both mobile users and numerous sensors.
Main Methods:
- Development of algorithms for calculating deliverable data volumes per subnet.
- Implementation of a prioritization principle for operating the heterogeneous network backbone router.
- Simulation-based validation of the collective dynamic routing method with 20 mobile users and 100 sensors.
- Experimental confirmation of sensor power consumption estimates.
Main Results:
- Simulation indicates that a heterogeneous network with only Wi-Fi 5 and Wi-Fi 2.4 subnets is advisable.
- This two-subnet configuration results in lower network load compared to a single Wi-Fi 2.4 network.
- The proposed network achieves a higher overall data transfer rate.
- Sensor power consumption shows only a minimal increase compared to using a single Wi-Fi 2.4 network.
Conclusions:
- Constructing a heterogeneous network using Wi-Fi 5 and Wi-Fi 2.4 subnets is an effective strategy for managing diverse data flows.
- The collective dynamic routing method optimizes network performance by balancing load and maximizing data transfer rates.
- This approach offers a practical solution for enhancing the efficiency of wireless networks serving both mobile users and IoT sensors.