Метод забезпечення оптимальної маршрутизації з урахування QoS та енергозбереження

The article proposes a routing method in sensor networks based on fuzzy logic, which allows balancing between quality of service (QoS) and energy consumption. The method uses integral route estimation, which takes into account transmission delay, throughput and energy consumption of nodes. Thanks to fuzzy logic, the route is chosen adaptively, which provides flexible data transmission control in dynamic network conditions. The proposed method is simulated and compared with classical algorithms (Dijkstra, AODV, LEACH). The results show that the new approach provides lower latency, higher throughput and reduced energy consumption, which is critically important for wireless sensor networks. The proposed method has high adaptability, but requires setting weight coefficients. Further research can be aimed at dynamic optimization of routing parameters and integration with other adaptive protocols.

Publication Details

Journal
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Published
2025-06-17
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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article

Метод забезпечення оптимальної маршрутизації з урахування QoS та енергозбереження

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Energy Efficient Wireless Sensor Networks
article

Метод забезпечення оптимальної маршрутизації з урахування QoS та енергозбереження

article en

Abstract

The article proposes a routing method in sensor networks based on fuzzy logic, which allows balancing between quality of service (QoS) and energy consumption. The method uses integral route estimation, which takes into account transmission delay, throughput and energy consumption of nodes. Thanks to fuzzy logic, the route is chosen adaptively, which provides flexible data transmission control in dynamic network conditions. The proposed method is simulated and compared with classical algorithms (Dijkstra, AODV, LEACH). The results show that the new approach provides lower latency, higher throughput and reduced energy consumption, which is critically important for wireless sensor networks. The proposed method has high adaptability, but requires setting weight coefficients. Further research can be aimed at dynamic optimization of routing parameters and integration with other adaptive protocols.

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Affordable and clean energy
Openalex Percentile: Top 45%
Energy Efficient Wireless Sensor Networks
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