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Genetic algorithm for effective optimization of delay performance in wireless sensor networks
Joint Authors
Muslih, Sayf Khalid
Muslim, Ala Abid
Shekan, Raid Abd al-Rida
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 26, Issue 10 (31 Dec. 2018), pp.281-290, 10 p.
Publisher
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Abstract EN
Wireless sensor networks (WSNs) play an important role in many real-world applications like surveillance.
Wireless networks are also used to have data transfer.
In such cases, there are problems with resourcece- constraintnednetworks.
The problems include a delay in communication and reduction in Quality of Service (QoS).
Topology control can solve this problem to some extent.
However, the delay performance and QoS need to be improved further to support intended operations in wireless networks.
When relay node concept is considered, it is possible to optimize performance in such networks.
In this paper, we proposed a Genetic Algorithm (GA) based relay configuration for optimizing delay performance in WSN.
Relay nodes compute optimal positions using the proposed algorithm so as to improve QoS and reduce delay as much as possible.
We implemented the algorithm using NS2 simulations.
The results revealed that the proposed approach is able to improve QoS, reduce delay besides improving network performance in terms of throughput, network capacity, and energy efficiency.
American Psychological Association (APA)
Muslih, Sayf Khalid& Muslim, Ala Abid& Shekan, Raid Abd al-Rida. 2018. Genetic algorithm for effective optimization of delay performance in wireless sensor networks. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 10, pp.281-290.
https://search.emarefa.net/detail/BIM-1097262
Modern Language Association (MLA)
Muslih, Sayf Khalid…[et al.]. Genetic algorithm for effective optimization of delay performance in wireless sensor networks. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 10 (2018), pp.281-290.
https://search.emarefa.net/detail/BIM-1097262
American Medical Association (AMA)
Muslih, Sayf Khalid& Muslim, Ala Abid& Shekan, Raid Abd al-Rida. Genetic algorithm for effective optimization of delay performance in wireless sensor networks. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 10, pp.281-290.
https://search.emarefa.net/detail/BIM-1097262
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 289-290
Record ID
BIM-1097262