Abstract
Wireless communications is the fastest growing segment of the communications industry and over the recent years, it has rapidly emerged in the market providing users with network mobility, scalability, and connectivity. It is a flexible data communication system implemented as an extension to or as an alternative for, a wired LAN [1]. The placement of access points (AP) can be modeled as a nonlinear optimization problem. The work explores the measured data in terms of signal strength in the indoor WLAN 802.11 g at Malviya Bhavan, Boys Hostel Building, Indian Institute of Technology, Roorkee, Saharanpur Campus coverage using optimization technique. In the present study, an application of particle swarm optimization (PSO) is shown to determine the optimal placement of AP.
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References
Traoré, Soungalo, Renfa, Li, Fanzi, Zeng: Evaluating and Improving Wireless Local Area Networks Performance. International Journal of Advancements in Computing Technology 3(2), 156–164 (2011)
Wireless LAN Solutions At-A-Glance - Cisco www.cisco.com/web/AP/wireless/pdf/WirelessLAN.pdf, United States (2012)
IEEE 802.11b Wireless LANs http://www.3com.com/other/pdfs/infra/corpinfo/en_US/50307201.pdf
Particle Swarm Optimization (PSO) www23.homepage.villanova.edu/varadarajan.komanduri/PSO_meander-line.ppt
Kouhbor, S., Ugon, J., Kruger, A., Rubinov, A.: Optimal placement of access point in WLAN based on a new algorithm. In: proceedings of the International Conference on Mobile Business-IEEE/ICMB, pp. 592–598, Jul 2005
Shahnaz, K.: Physical security enhancement in WLAN systems. In: ISSNIP-IEEE, pp. 733–738 (2007)
Li, B., Dempster, A., Rizos, C., Barnes, J.: Hybrid method for localization using WLAN. In: Spatial Sciences Conference, www.gmat.unsw.edu.au/snap/publications/lib_etal2005c.pdf (2005)
GD/JANET/TECH.: Surveying wireless networks, www.ukema.ac.uk/documents/\(\ldots \)/technical../ (2008)
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Arya, L., Sharma, S.C. (2014). Coverage of Indoor WLAN in Obstructed Environment Using Particle Swarm Optimization. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_157
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DOI: https://doi.org/10.1007/978-81-322-1602-5_157
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