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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
New Data Clustering Algorithm (NDCA)
Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070559
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 5, 2016.
Abstract: Wireless sensor networks (WSNs) have sensing, data processing and communicating capabilities. The major task of the sensor node is to gather the data from the sensed field and send it to the end user via the base station (BS). To satisfy the scalability and prolong the network lifetime the sensor nodes are grouped into clusters. This paper proposes a new clustering algorithm named New Data Clustering Algorithm (NDCA). It takes optimal number of the clusters and the data packets sent from the surrounding environment to be the cluster head (CH) selection criteria.
Keywords: Wireless sensor network; clustering; energy efficiency; cluster head selection
Abdullah Abdulkarem, Imane Aly Saroit Ismail and Amira Mohammed Kotb, “New Data Clustering Algorithm (NDCA)” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070559
@article{Abdulkarem2016,
title = {New Data Clustering Algorithm (NDCA)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070559},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070559},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {Abdullah Abdulkarem and Imane Aly Saroit Ismail and Amira Mohammed Kotb}
}
