Optimal Pragmatic Clustering for Wireless Networks

Abstract

Nodes’ clustering in wireless networks is one of the solutions that used to improve network performance. This paper discusses the clustering in wireless networks. Then it presents a novel clustering algorithm named Pragmatic Genetic Algorithm (PGA). It combines two of the well known artificial intelligence techniques: K-means and Genetic algorithm. The proposed algorithm aims at minimizing the execution time of the clustering, especially in time-sensitive wireless networks applications. The performance of PGA has been compared with the classical clustering algorithms, namely, K-means and KGA. The experiments have been conducted using synthetic and real data from public repositories. PGA obtained excellent results in execution and stable accuracy even when the number of nodes was increased.

Authors and Affiliations

Suzan Basloom, Nadine Akkari, Ghadah Aldabbagh

Keywords

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  • EP ID EP499643
  • DOI 10.14569/IJACSA.2019.0100369
  • Views 97
  • Downloads 0

How To Cite

Suzan Basloom, Nadine Akkari, Ghadah Aldabbagh (2019). Optimal Pragmatic Clustering for Wireless Networks. International Journal of Advanced Computer Science & Applications, 10(3), 539-544. https://europub.co.uk/articles/-A-499643