Method for providing optimal routing with account for QoS and energy conservation

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.

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Publication Details

Journal
Bulletin of the National Technical University KhPI A series of Information and Modeling
Published
2025-06-17
DOI
https://doi.org/10.20998/2411-0558.2025.01.05
Primary Topic
Interconnection Networks and Systems
Type
article
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article

Method for providing optimal routing with account for QoS and energy conservation

Pavlo Pustovoitov, Oleksandr Voronets
Bulletin of the National Technical University KhPI A series of Information and Modeling
Interconnection Networks and Systems
article

Method for providing optimal routing with account for QoS and energy conservation

Pavlo Pustovoitov, Oleksandr Voronets
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.

Bulletin of the National Technical University KhPI A series of Information and ModelingVol. 1(1 (13))
Openalex Percentile: Top 85%
Interconnection Networks and Systems
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Method for providing optimal routing with account for QoS and energy conservation — Pavlo Pustovoitov, Oleksandr Voronets · Bulletin of the National Technical University KhPI A series of Information and Modeling (2025) | TGRS Research Map | TGRS