Abstract
Background/Objectives: Designing a Wireless Local Area Network (WLAN) assumes great importance in determining the optimal placement of Access Points (APs) and assigning channels in order to achieve maximum levels of coverage and performance. The aim of this paper is to develop an optimization model for the location of the AP in indoor environments, the 2.4GHz and 5GHz, supported on the propagation model Log-Normal Shadowing. Methods/Statistical Analysis: To estimate the optimal location of the AP model, nonlinear optimization was proposed based on the probability cutting frequency bands, the dimensions of the environment, the transmission power, sensitivity receptor and the coverage radius, which two routines in Matlab for systematization model, supported in the propagation model Log-Normal Shadowing path loss, which allows developed decompose the received power at an average power and attenuation term shadow. Topic Relevance: Although there have been several related resource optimization work WLANs are very few studies have considered engaging in their research strategies for optimizing the geographic location of the AP. Aspect by which developed in Matlab routines may be used in future research related to the design of WLANs. Results: Based on the results it was evident that it is possible to predict the optimum location of the AP for the 2.4GHz and 5GHz, depending on the transmission power, the detection threshold of the receiver, the probability estimated cut and characterization of the environment between the AP, either free space or obstacles, supported the use of a shadow attenuation model. In addition, routines allowed establishing the Cartesian coordinates in which the location of the AP function of the radius of coverage, frequency band and environmental conditions, with 95% confidence is suggested. Application/Improvements: The developed routines can be used as support tools in future research work, related to the design and analysis of wireless networks that use the 2.4GHz and 5GHz bands, in order to evaluate aspects of interference, coverage, performance, efficiency and QoS. Keywords: Coverage Area, Interference, Location, Optimization, Outage Probability, WLAN Networks
Highlights
The growing demand for wireless connectivity supported in the IEEE 802.11 standard in areas with high density of users, it has generated a lot of Access Points (APs) operate independently without any coordination in the same geographical space, generating high levels of interference devices, due to sharing of the bands ISM (Industrial, Scientific and Medical)[1].Product of this situation have generated operating problems such as attenuation of the signal level transmission and low network performance[2].Planning is one of the most important tools in reducing interference problems during the process of implementing a wireless network, seeking to ensure minimum quality level of coverage and QoS3
We present the routine developed in Matlab that allows optimizing the location of the AP according to the methodology described above, minimizing the levels of interference and maximizing the coverage area[16]
Given the need to establish levels of coverage in indoor environments from the design stage, an optimization model was proposed for the location of the APs that are part of a wireless network
Summary
The growing demand for wireless connectivity supported in the IEEE 802.11 standard in areas with high density of users, it has generated a lot of AP operate independently without any coordination in the same geographical space, generating high levels of interference devices, due to sharing of the bands ISM (Industrial, Scientific and Medical)[1].Product of this situation have generated operating problems such as attenuation of the signal level transmission and low network performance[2].Planning is one of the most important tools in reducing interference problems during the process of implementing a wireless network, seeking to ensure minimum quality level of coverage and QoS3. The growing demand for wireless connectivity supported in the IEEE 802.11 standard in areas with high density of users, it has generated a lot of AP operate independently without any coordination in the same geographical space, generating high levels of interference devices, due to sharing of the bands ISM (Industrial, Scientific and Medical)[1]. Product of this situation have generated operating problems such as attenuation of the signal level transmission and low network performance[2]. In view of the above, this article seeks to establish a model to optimize the location of AP in Indoor environments supported on the propagation model Shadowing Log-Normal
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
