i-manager Publications

Intrusion-Tolerant Sink Configuration: A Key to Prolonged Lifetime in Wireless Sensor Networks

Vaibhav Kapil Kanuru*, Deva Kumar Kunchapu**, Bandela Kalyan Krishna***, Saida Rao****

*-**** Department of Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India.

Periodicity:July - December'2024
DOI : https://doi.org/10.26634/jwcn.13.1.20888

Abstract

This study investigates the pivotal role of sink configuration in enhancing the lifetime of Wireless Sensor Networks (WSNs). A comparative analysis between configurations employing 2 sinks and 3 sinks reveals that the latter significantly outperforms the former in terms of network longevity. The study delves into the integration of an intrusion-aware protocol, providing resilience during security breaches. This protocol stabilizes network lifetime amidst intrusion attacks, which is crucial for maintaining system efficiency. This work introduces a novel machine learning model tailored for WSNs, exhibiting superior accuracy on a WSN-specific dataset. Through these combined efforts, it presents a comprehensive approach to improving WSN lifetime, encompassing sink configuration optimization, intrusion tolerance, and innovative machine learning techniques.

Keywords

Multi-Sink Wireless Sensor Network, Precision Agriculture, Intrusion-tolerance, Sink Configuration, Network Longevity.

How to Cite this Article?

Kanuru, V. K., Kunchapu, D. K., Krishna, B. K., and Rao, S. (2024). Intrusion-Tolerant Sink Configuration: A Key to Prolonged Lifetime in Wireless Sensor Networks. i-manager’s Journal on Wireless Communication Networks, 13(1), 31-41. https://doi.org/10.26634/jwcn.13.1.20888

References

[1]. Ananthakumar, A., Ganediwal, T., & Kunte, A. (2015). Intrusion detection system in wireless sensor networks: A review. International Journal of Advanced Computer Science and Applications, 6(12), 131-139.

[2]. Chen, S., Huang, Q., Zhang, Y., & Li, X. (2020). Double sink energy hole avoidance strategy for wireless sensor network. EURASIP Journal on Wireless Communications and Networking, 2020(1), 226.

[3]. Cheng, P., & Zhu, M. (2015). Lightweight anomaly detection for wireless sensor networks. International Journal of Distributed Sensor Networks, 11(8), 653232.

[4]. Corke, P., Wark, T., Jurdak, R., Hu, W., Valencia, P., & Moore, D. (2010). Environmental wireless sensor networks. Proceedings of the IEEE, 98(11), 1903-1917.

[5]. Deng, J., Han, R., & Mishra, S. (2006). INSENS: Intrusion-tolerant routing for wireless sensor networks. Computer Communications, 29(2), 216-230.

[6]. Díaz, S. E., Pérez, J. C., Mateos, A. C., Marinescu, M. C., & Guerra, B. B. (2011). A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks. Computers and Electronics in Agriculture, 76(2), 252-265.

[7]. Ferentinos, K. P., Tsiligiridis, T. A., & Arvanitis, K. G. (2005, July). Energy optimization of wireless sensor networks for environmental measurements. In Proceedings of the International Conference on Computational Intelligence for Measurment Systems and Applicatons (CIMSA) (Vol. 51, pp. 1031-1051).

[8]. Galmes, S. (2006, October). Lifetime issues in wireless sensor networks for vineyard monitoring. In 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems (pp. 542-545). IEEE.

[9]. Ghosh, K., Neogy, S., Das, P. K., & Mehta, M. (2018). Intrusion detection at international borders and large military barracks with multi-sink wireless sensor networks: An energy efficient solution. Wireless Personal Communications, 98, 1083-1101.

[10]. Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000, January). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (pp. 10-pp). IEEE.

[11]. Pan, J. S., Fan, F., Chu, S. C., Zhao, H. Q., & Liu, G. Y. (2021). A lightweight intelligent intrusion detection model for wireless sensor networks. Security and communication Networks, 2021(1), 5540895.

[12]. Rathod, V., & Mehta, M. (2011). Security in wireless sensor network: A survey. Ganpat University Journal of Engineering & Technology, 1(1), 35-44.

[13]. Wang, N., Zhang, N., & Wang, M. (2006). Wireless sensors in agriculture and food industry—Recent development and future perspective. Computers and Electronics in Agriculture, 50(1), 1-14.

[14]. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292-2330.

[15]. Zhang, W., Liu, Y., Das, S. K., & De, P. (2008). Secure data aggregation in wireless sensor networks: A watermark based authentication supportive approach. Pervasive and Mobile Computing, 4(5), 658-680.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.