By Topic

Resource-Effective and Accurate WLAN Infrastructure Design and Localization Using a Cell-Structure Framework

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chan, E.C.L. ; Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China ; Baciu, George ; Mak, S.C.

Large scale WLAN infrastructures contain thousands of access points (APs) that are often deployed in an ad-hoc, empirical and non-optimal configurations. This unstructured approach leads to poor resource utilization and poor localization due to signal overlap and black spots. In this paper, we propose three structured approaches to WLAN infrastructure deployment to achieve high localization accuracy and optimal coverage. We propose, analyze and discuss triangular, square and hexagonal distributions. Our results show that the ad-hoc deployment of AP's is less effective than any of the three structured approaches. Overall, the hexagonal approach is the most effective for localization operations. But surprisingly, when looking at the square distribution, the center part of localization accuracy is 30% higher than the other two structured approaches. In contrast, the ad-hoc distribution requires 50% more APs than hexagonal distribution to achieve effective localization. Our proposed structured approaches allow designers to achieve optimal localization in a cost-effective, resources-effective and accurate manner.

Published in:

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Date of Conference:

24-26 Sept. 2009