Olayinka O. Ogundile, Oluwaseyi P. Babalola, Innocent E. Davidson
{"title":"Secured Clustered Wireless Sensor Network Using Ensemble Hamming Code and Quadratic Residue and Nonresidue Properties","authors":"Olayinka O. Ogundile, Oluwaseyi P. Babalola, Innocent E. Davidson","doi":"10.1049/wss2.70014","DOIUrl":null,"url":null,"abstract":"<p>Wireless sensor networks (WSNs) are increasingly used in critical sectors such as defence, healthcare and environmental monitoring. These networks rely on small resource-constrained sensor nodes that communicate wirelessly, making them vulnerable to security threats. Although cryptographic methods, time synchronisation and error-correcting codes (ECCs) offer some protection, they often struggle with the computational and energy limitations of sensor nodes. Among ECCs, Hamming codes combined with quadratic residue (H-QR) techniques have shown promise in enhancing network security and improving performance metrics such as packet delivery ratio (PDR) and throughput (TP). However, existing H-QR implementations are limited in scalability, supporting only small networks with up to 15 nodes. To address this limitation, this study introduces an enhanced security architecture for clustered WSNs using Hamming codes with quadratic residue and nonresidue (H-QRN) properties. The proposed H-QRN scheme supports an arbitrary number of sensor nodes, making it suitable for large-scale and diverse industrial applications. Simulation results demonstrate that H-QRN significantly improves PDR and TP over traditional H-QR methods while maintaining similar end-to-end delay (E2E) and control overhead (CO). This work offers a scalable and efficient security solution for WSNs and provides practical insights for selecting security protocols tailored to specific application requirements.</p>","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70014","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Wireless Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/wss2.70014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Wireless sensor networks (WSNs) are increasingly used in critical sectors such as defence, healthcare and environmental monitoring. These networks rely on small resource-constrained sensor nodes that communicate wirelessly, making them vulnerable to security threats. Although cryptographic methods, time synchronisation and error-correcting codes (ECCs) offer some protection, they often struggle with the computational and energy limitations of sensor nodes. Among ECCs, Hamming codes combined with quadratic residue (H-QR) techniques have shown promise in enhancing network security and improving performance metrics such as packet delivery ratio (PDR) and throughput (TP). However, existing H-QR implementations are limited in scalability, supporting only small networks with up to 15 nodes. To address this limitation, this study introduces an enhanced security architecture for clustered WSNs using Hamming codes with quadratic residue and nonresidue (H-QRN) properties. The proposed H-QRN scheme supports an arbitrary number of sensor nodes, making it suitable for large-scale and diverse industrial applications. Simulation results demonstrate that H-QRN significantly improves PDR and TP over traditional H-QR methods while maintaining similar end-to-end delay (E2E) and control overhead (CO). This work offers a scalable and efficient security solution for WSNs and provides practical insights for selecting security protocols tailored to specific application requirements.
期刊介绍:
IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.