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Solangi, S. A., Hakro, D. N., Lashari, I. A., Khoumbati, K.-U.-R., Bhutto, Z. A., & Hameed, M. (2017). Genetic algorithm applications in wireless sensor networks (wsn): A review. International Journal of Management Sciences and Business Research, 1(4), 152–166. 
Resource type: Journal Article
BibTeX citation key: Solangi2017
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 Categories: Artificial Intelligence, Computer Science, Engineering, General
Subcategories: Internet of things, Machine learning, Neural nets
Creators: Bhutto, Hakro, Hameed, Khoumbati, Lashari, Solangi
Publisher:
Collection: International Journal of Management Sciences and Business Research
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Abstract

Wireless Sensor Networks (WSN) has been remained most demanding field due to its application-specific characteristics. There are various applications for WSN and among them some well-known application parameters are energy consumption and life-span longevity for the sake of routing. Genetic Algorithm is a robust optimization technique and possesses the large-scale computational applications. This paper is an attempt to survey of all operational phases of a WSN namely, quality of service (QoS) in routing, clustering, network coverage and localization as well multiple sinks. Additionally, the paper also discusses Genetic Algorithm applications.


  
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