ARCHITECTURAL AND SECURITY ASPECTS OF WIRELESS SENSOR NETWORKS: A COMPREHENSIVE REVIEW
Abstract
Wireless Sensor Networks (WSNs) have emerged as a pivotal technology for diverse applications, enabling ubiquitous data collection and environmental monitoring. Comprising spatially distributed autonomous devices, WSNs present unique challenges in terms of their architectural design, power management, and inherent security vulnerabilities. This review synthesizes extant literature to explore the fundamental system architectures, critical design considerations for extending network lifetime, and essential security protocols integral to robust WSN deployment and operation. By examining established research, this article aims to provide a comprehensive understanding of the foundational principles and ongoing challenges in engineering reliable and secure wireless sensor systems, informing future research and practical implementations in various domains from environmental monitoring to emergency response.
Keywords
References
Similar Articles
- Dr. Lucas Vermeulen, Sophie De Smet, Dr. Thomas Dubois, Integrated Temporal Analytics and AI-Based Approaches for Predicting Culinary Ingredient Consumption Patterns: Evidence from Thai Markets , International Journal of Intelligent Data and Machine Learning: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Dr. Tanay Deshpande, Dr. Kavita Sharma, ADVANCING ARTIFICIAL INTELLIGENCE: AN IN-DEPTH LOOK AT MACHINE LEARNING AND DEEP LEARNING ARCHITECTURES, METHODOLOGIES, APPLICATIONS, AND FUTURE TRENDS , International Journal of Intelligent Data and Machine Learning: Vol. 2 No. 01 (2025): Volume 02 Issue 01
- Ananya Patel (Ph.D. Candidate), ADVANCING FINANCIAL PREDICTION THROUGH QUANTUM MACHINE LEARNING , International Journal of Intelligent Data and Machine Learning: Vol. 2 No. 02 (2025): Volume 02 Issue 02
- Kartik Tandon, Dr. Priya Menon, LEVERAGING MACHINE LEARNING TO IDENTIFY MATERNAL RISK FACTORS FOR CONGENITAL HEART DISEASE IN OFFSPRING , International Journal of Intelligent Data and Machine Learning: Vol. 2 No. 05 (2025): Volume 02 Issue 05
- Dr. Samuel Moyo, OPTIMIZING ADAPTIVE NEURO-FUZZY SYSTEMS FOR ENHANCED PHISHING DETECTION , International Journal of Intelligent Data and Machine Learning: Vol. 2 No. 05 (2025): Volume 02 Issue 05
- Eko Purnomo, Rendra Alfiansyah, A Dynamic Nexus: Integrating Big Data Analytics and Distributed Computing for Real-Time Risk Management of Derivatives Portfolios , International Journal of Intelligent Data and Machine Learning: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Alexander V. Korovin, Optimizing Zero-Downtime Microservice Deployments: Integrating DevOps Principles in .NET Core Environments , International Journal of Intelligent Data and Machine Learning: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Tristan K. Rowell, Real Time Event Streaming Architectures in Digital Finance: A Theoretical and Infrastructural Analysis of Kafka Based Financial Systems , International Journal of Intelligent Data and Machine Learning: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Dr Adrian Morrow, Dynamic AI Based Credit Scoring and Alternative Data Driven Risk Governance in Digital Lending Platforms , International Journal of Intelligent Data and Machine Learning: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Emil Novak, Deep Learning For E‑Commerce Recommendations: Capturing Long- And Short-Term User Preferences With Cnn-Based Representation Learning , International Journal of Intelligent Data and Machine Learning: Vol. 2 No. 12 (2025): Volume 02 Issue 12
You may also start an advanced similarity search for this article.