AI Bibliography |
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 View all bibliographic details |
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 |
Attachments |
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. |