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Novel Modification of Integrated Optimization Method for Sensor's Communication in Wi-Fi Public Networks
Sergey Kozlov1, Elena Spirina1
1Radioelectronic and Telecommunication Systems Department, Kazan National Research Technical University Named after A. N. Tupolev-KAI, Kazan 420111, Russia.
A new integrated optimization method enhances heterogeneous networks, improving data rates for mobile users and wireless sensors while reducing network load. This novel approach also extends sensor battery life significantly.
Area of Science:
- Computer Science
- Network Engineering
- Wireless Communication
Background:
- Heterogeneous networks, like Wi-Fi, face challenges managing simultaneous data from mobile users and wireless sensors.
- Optimizing signal reception, frequency planning, and routing is crucial for efficient network performance.
Purpose of the Study:
- To develop a novel integrated optimization method for heterogeneous IP networks.
- To analyze the interaction between signal reception, frequency planning, and routing for simultaneous data transmission.
Main Methods:
- Formulation of new principles for procedure interaction and descriptive functions.
- Development of a modified integrated optimization method and its algorithm.
- Effectiveness analysis on an IEEE 802.11ax network segment.
Main Results:
- Network load decreased by an average of 20%.
- Data rates increased by 25% for users and 40% for sensors.
- Sensor lifetime increased by an average of 20% compared to Collective Dynamic Routing.
Conclusions:
- The novel integrated optimization method effectively improves heterogeneous network performance.
- The method offers significant benefits in network load reduction, data rate enhancement, and device longevity.
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