Call for Paper - March 2020 Edition
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Coverage Optimization for WNSs using AI Technique

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2020
Youssef Abdul-Aziz Taher

Youssef Abdul-Aziz Taher. Coverage Optimization for WNSs using AI Technique. International Journal of Computer Applications 177(29):22-25, January 2020. BibTeX

	author = {Youssef Abdul-Aziz Taher},
	title = {Coverage Optimization for WNSs using AI Technique},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2020},
	volume = {177},
	number = {29},
	month = {Jan},
	year = {2020},
	issn = {0975-8887},
	pages = {22-25},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2020919767},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Coverage in wireless sensors networks (WSNs) is one of the most active research topics in wireless networks.ThisPaper presented a new way to ensure getting the best coverage of the targets in the region of interest (RoI) in WSNs.The proposed approache used the artificial intelligence technique by considering the principle of columns generation (CG) to select the appropriate coordinates for the sensors to cover targets distributed in a specifc region.Simulationresults proved the effectiveness of the proposed approachefor obtaining the optimal distribution of the sensor nodes to cover all the targets in the RoI.


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WSN clustering hierarchy, Genetic algorithm, WSN lifetime, Power consumtption, Columns generation (CG), quality of service (QoS),Arifical intelligence (AI).