Energy-Efficient Partitioning Clustering Algorithm for Wireless Sensor Network-Reference-Cited by-同舟云学术

Energy-Efficient Partitioning Clustering Algorithm for Wireless Sensor Network

Published:2018 Issue: Volume: Page:14-23
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
Short-container-title:

Author:

de Souza Koffi V. C. Kevin,Almhana Catherine,Fournier-Viger Philippe,Almhana Jalal

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-90802-1_2

Reference15 articles.

1. Anastasi, G., Conti, M., Di Francesco, M., Passarella, A.: Energy conservation in wireless sensor networks using data reduction approaches: a survey. Int. J. Comput. Eng. Res. 7(3), 537–568 (2013)

2. Karim, L., Anpalagan, A., Nasser, N., Almhana, J.: Sensor-based M2M agriculture monitoring systems for developing countries: state and challenges. Netw. Protoc. Algorithm J. 5(3), 68–86 (2013)

3. MacQueen, J.B.: Some methods for classification and analysis of multivariate observations. In: 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281–297. University of California Press (1967)

4. Tsai, K., Ye, M., Leu, F.: Secure power management scheme for WSN. In: 7th ACM CCS International Workshop on Managing Insider Security Threat, MIST 2015, pp. 63–66 (2015)

5. de Souza, K., Fournier-Vigier, P., Almhana, J.: Early detection of abnormal residential water consumption. Technical report (2017)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Adaptive Framework Using Machine Learning in Wireless Sensor Network;2020 IEEE International Conference on Communication, Networks and Satellite (Comnetsat);2020-12-17