2321-0850
2.47 [According Google C. Report] | SJIF : 5.263 | PIF : 4.128
| Sr. No. | Title and Author Name | Page No. | Download |
|---|---|---|---|
| 1 | Title : Advances in Topological Routing Strategies for Wireless Sensor Networks: A Comprehensive Review Authors : Dr. Ravindra Kumar Sharma Click Here For Abstract Abstract :Wireless Sensor Networks (WSNs) are characterized by their distributed nature and the need for efficient communication protocols to handle the constraints of limited resources. Topological routing, a critical aspect of WSNs, leverages the network’s structure to optimize data transmission, ensuring scalability and reliability. This paper presents a comprehensive review of topological routing techniques in WSNs, highlighting various strategies including flooding, hierarchical routing, geographic routing, and cluster-based approaches. We discuss the advantages and limitations of each method in terms of energy efficiency, data delivery accuracy, and network scalability. Furthermore, we examine recent advancements in routing algorithms, including the integration of machine learning and optimization techniques to enhance performance. The paper also explores practical implementations and case studies to illustrate the real-world applicability of these routing strategies. Finally, we propose future research directions to address existing challenges and explore emerging trends in the field of wireless network topological routing. |
1-7 | |
| 2 | Title : Enhancing Wireless Sensor Network Security: Detection and Prevention of Grey Hole Attacks Authors : Dr. Ravindra Kumar Sharma Click Here For Abstract Abstract :Wireless Sensor Networks (WSNs) are widely utilized in various applications, including environmental monitoring, military surveillance, and smart cities. Despite their versatility and efficiency, WSNs are vulnerable to a range of security threats, among which the grey hole attack poses a significant challenge. Unlike black hole attacks, where malicious nodes indiscriminately drop all packets, grey hole attacks involve selective dropping of packets, making them harder to detect and mitigate. This paper presents a comprehensive study of detection and prevention methods for grey hole attacks in WSNs. We review existing approaches, including anomaly detection, trust-based systems, and reputation mechanisms, and introduce novel techniques to enhance their effectiveness. Through extensive simulations, we evaluate the performance of these methods in terms of detection accuracy, false positive rates, and impact on network performance. Our findings indicate that integrating trust-based and behavioral analysis techniques offers a promising solution for mitigating grey hole attacks. This research contributes to the ongoing efforts to secure WSNs against sophisticated attacks and provides a foundation for future advancements in network security. |
8-15 |
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