Abstract
Nowadays Wireless Sensor Network has become an interesting filed for researchers. The main concerns about Wireless Sensor Network are the life time and energy consumption. Because of these two reasons new protocols improving these network features are being developed all the time. This paper studies TEEN (Threshold Sensitive Energy Efficient Sensor Network) protocol. We improve the performance of choosing the Cluster Heads in the cluster areas using KNN (K Nearest Neighbours) algorithm, which use a distance between the nodes as a similarity measure to classify the nodes in the network. Therefore, most of routing protocol techniques and sensing task require to check the position of sensors in network to obtain information of location with high accuracy sensors in network. The modification in this protocol improves the life time and energy consumption compared with the original TEEN protocol.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Majeswar, A., Agrawal, D.P.: TEEN: a protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, San Francisco, CA, USA, p. 189 (2001)
Xu, J., Jin, N., Lou, X., Peng, T., Zhou, Q., Chen, Y.: Improvement of LEACH protocol for WSN. In: 9th International Conference on Fuzzy Systems and Knowledge Discovery, China (2012)
Yang, Z., Mohammed, A.: A survey of routing protocols of wireless sensor networks. Blekinge Institute of Technology, Sweden, White Paper (2010)
Manjeshwar, A., Agrawal, D.P.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. Center for Distributed and Mobile Computing, ECECS Department, University of Cincinnati, Cincinnati, OH 45221-0030
Ibrahim, A.A., Tamer, A.K., Abdelshakour, A.: SEC-TEEN: a secure routing protocol for enhanced efficiency in wireless sensor networks (2013)
Yong, Z., Youwen, L., Shixiong, X.: An improved KNN text classification algorithm based on clustering. J. Comput. 4(3), 230–237 (2009)
Teknomo Kardi: K-Nearest Neighbors Tutorial (2018). http://people.revoledu.com/kardi/tutorial/KNN/index.htm
Juwaied, A., Jackowska-Strumiłło, L., Sierszeń, A.: Improved clustering algorithm of LEACH Protocol in IoT Network. In: International Interdisciplinary PhD Workshop, Lodz, Poland, pp. 170–175 (2017)
Dahiya, S., Kumar, S.: Modified TEEN protocol for enhancing the life time of sensor network. Int. J. Technol. Res. Eng. 3, 2901–2904 (2016)
Juwaied, A., Jackowska-Strumiłło, L.: Analysis of cluster heads positions in stable election protocol for Wireless Sensor Network. In: International Interdisciplinary PhD Workshop (IIPhDW), Swinoujscie, Poland, pp. 367–370. IEEE Xplore (2018)
Sierszeń, A., Sturgulewski, Ł., Ciazyński, K.: User positioning system for mobile devices. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1327–1330. IEEE Xplore (2013)
Sierszeń, A., Sturgulewski, Ł., Kotowicz, A.: Tracking the node path in wireless ad-hoc network. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1321–1325. IEEE Xplore (2013)
Acknowledgements
This work was financed by the Lodz University of Technology, Faculty of Electrical, Electronic, Computer and Control Engineering as a part of the statutory activity (project no. 501/12-24-1-5438).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Juwaied, A., Jackowska-Strumiłło, L., Sierszeń, A. (2019). Modified TEEN Protocol in Wireless Sensor Network Using KNN Algorithm. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 10. IP&C 2018. Advances in Intelligent Systems and Computing, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-03658-4_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-03658-4_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03657-7
Online ISBN: 978-3-030-03658-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)