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

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2020
Authors:
Youssef Abdul-Aziz Taher
10.5120/ijca2020919767

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

@article{10.5120/ijca2020919767,
	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 = {http://www.ijcaonline.org/archives/volume177/number29/31084-2020919767},
	doi = {10.5120/ijca2020919767},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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.

References

  1. Mingfeng Huang, A. L., M. Z, et al. (2019) " covering scheme for continuous partial coverage in WSNs‏". Peer-to-Peer Networking and Applications 12 (3), 553-567.
  2. Jaber Pournaza, M. A., F. Y.‏, , et al (2018) " An Energy Efficient Autonomous Method for Coverage Optimization in Wireless Multimedia Sensor Networks‏" Wireless Personal Communications 99 (2), 717-736.
  3. Huynh Thi Thanh Binh, N. H. ‏(2018) " Introduction to Coverage Optimization in Wireless Sensor Networks" Soft Computing in Wireless Sensor Networks, 115-136.‏
  4. Mohammed Zaki Hasan, F. A., H. A.(2018) " Analysis of cross-layer design of quality-of-service forward geographic wireless sensor network routing strategies in green internet of things " IEEE Access 6, 20371-20389.
  5. Suneet Kumar Gupta, P. K., P. K.( 2016‏)" Genetic algorithm approach for k-coverage and m-connected node placement in target based wireless sensor networks‏" Computers & Electrical Engineering 56, 544-556.
  6. Muhammed Emre Keskin‏. (2017)." A column generation heuristic for optimal wireless sensor network design with mobile sinks‏"European Journal of Operational Research 260 (1), 291-304.
  7. Michele Garraffa, M. B., L. L, , et al. (2018). " Drones path planning for WSN data gathering: a column generation heuristic approach‏" Boussetta‏2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6.‏
  8. Laith Mohammad Abualigah, A. T. K.r, M. A. A., et al. (2018)." Feature selection with β-hill climbing search for text clustering application " Palestinian International Conference on Information and Communication Technology (PICICT), 22-27.
  9. Mohammed Azmi Al-Betar.(2017). " Hill climbing: an exploratory local search" . Neural Computing and Applications 28 (1), 153-168.‏

Keywords

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