A hybrid Kalman-RBF model for optimized cluster-based routing in wireless sensor networks

S. Shobana () and Jennifer S. Raj ()
Additional contact information
S. Shobana: RVS College of Engineering and Technology
Jennifer S. Raj: Gnanamani College of Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2025, vol. 88, issue 4, No 4, 19 pages

Abstract: Abstract Wireless Sensor Networks (WSNs) play a major role in real-time monitoring and data transmission, yet the existing network clustering and routing protocols face significant challenges in terms of unbalanced cluster formation, delay and high latency. This research work proposes an optimized WSN routing algorithm, the Multi-Dimensional Kalman and Radial Basis Function (MDRBF) method by integrating dynamic cluster head selection based on node distance ranking and residual energy. Further, Kalman filtering is used for noise reduction and data aggregation and Radial Basis Function for adaptive routing optimization. The performance of MDRBF is evaluated using NS 3.26 simulation, considering the key performance metrics such as End-to-End delay, Packet Delivery Ratio (PDR), throughput, routing overhead and residual energy. The experimental results of proposed MDRBF model are then compared with other existing protocols like LEACH, POHDA, CDAS, DICA and ESEERP. The results show that MDRBF significantly reduces delay to 8 ms, increases PDR to 93%, improves node residual energy and reduces routing overhead with optimized energy consumption when compared to other algorithms.

Keywords: Wireless sensor networks (WSNs); Cluster head; Data aggregation; Optimal routing; Multi-hop communication (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11235-025-01345-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:88:y:2025:i:4:d:10.1007_s11235-025-01345-4

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-025-01345-4

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().