Evolutionary algorithms for clustering in wireless sensor networks
Joint Authors
Hamzah, Kamal S.
Amir, Fathi A.
Source
Journal of al Azhar University : Engineering Sector
Issue
Vol. 12, Issue 43 (30 Apr. 2017), pp.535-551, 17 p.
Publisher
al-Azhar University Faculty of Engineering
Publication Date
2017-04-30
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Recent studies have shown that hierarchical routing is one of the best approaches for routing in Wireless Sensor Networks (WSN).
In typical hierarchical routing techniques, the network divided into regions (a.k.a.
Clusters); each cluster is then managed as a standalone network with its Cluster Head serving as the node of communication coordination and data collection.
Accordingly, nodes across the network can save their energy when attempting to communicate with the other nodes far across the network.
Several hierarchical routing techniques have been proposed over the last few years, despite the fact that most of these algorithms are fundamentally similar.
Due to the nature and complexity of hierarchical routing, Evolutionary Optimization algorithms have been used recently to perform clustering and routing techniques.
In this paper, we present, to the best of our knowledge, one of the first surveys on the use of Evolutionary Algorithms (EA) for clustering in hierarchical routing in WSNs.
Categorization and classification of the various clustering techniques are presented and used to understand the existing algorithms.
A comparison among these techniques is also presented in this work.
American Psychological Association (APA)
Hamzah, Kamal S.& Amir, Fathi A.. 2017. Evolutionary algorithms for clustering in wireless sensor networks. Journal of al Azhar University : Engineering Sector،Vol. 12, no. 43, pp.535-551.
https://search.emarefa.net/detail/BIM-855966
Modern Language Association (MLA)
Hamzah, Kamal S.& Amir, Fathi A.. Evolutionary algorithms for clustering in wireless sensor networks. Journal of al Azhar University : Engineering Sector Vol. 12, no. 43 (Apr. 2017), pp.535-551.
https://search.emarefa.net/detail/BIM-855966
American Medical Association (AMA)
Hamzah, Kamal S.& Amir, Fathi A.. Evolutionary algorithms for clustering in wireless sensor networks. Journal of al Azhar University : Engineering Sector. 2017. Vol. 12, no. 43, pp.535-551.
https://search.emarefa.net/detail/BIM-855966
Data Type
Journal Articles
Language
English
Record ID
BIM-855966