Wireless Access Point Positioning Optimization

2010

When considering a new wireless local area network (WLAN) deployment a designer must consider many and often conflicting design metrics including environment configuration, coverage constraints, frequency assignment, co-channel interference, user demands on the WLAN, application types, number of access points and their position when undertaking a design. The multitude of factors that influence the performance of a WLAN highlights the challenge facing a designer to achieve a reliable and robust network design particularly for large deployments. It also emphasizes the need for a software tool that automatically and intuitively models a WLAN based on user specified demands. The research presented will describe such a network modeling, design, and evaluation tool that has been developed to aid designers when undertaking the difficult task of WLAN design and also used as a simulation test bed to evaluate various models such as propagation models, optimization approaches. The paper will particularly focus on the evaluation of a scalable optimization algorithm in the design tool that can be used to automatically optimize the number of access points required and their position to meet site specific demands in indoor environments.

… 2004 IEEE International …, 2004

Wireless local area networks (WLANs) are spreading all over the planet with impressive speed and market penetration. They will replace traditional indoor wired local networks and allow flexible access outdoor, eventually competing with classical cellular systems (GSM, GPRS, UMTS, etc.) in the provision of wireless services. Although the small systems currently installed are planned using rules of thumb, their rapid spread and size increase requires quantitative methods to determine proper access points (AP) positioning ...

The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005., 2005

In wueles Locnl Area Network (WLAN), signal coverage is obtained by proper placement of access points (At's). The impact of incorrect placement of A P s is significant. If they are placed too far apt* they will generate a coverngc gap but if they nre too close to ercb otber, this will lead to excessive ED. channel interferences. In t u paper, we describe a matbemarical .model we have developed to find the optimal number and Location of APs. To solve the problem, we use an optimization algorithm developed at the University of Ballarat called Discrete Gradient algorithm. Results indicate that our model is able to solve optimal coverage problems for different numbers of users.

2001

In this paper we present some preliminary results on the subject of indoor wireless communications planning by using computer simulation of signal propagation. The goal of this simulation is to obtain an overview of the received signal strength throughout the indoor environment and then try to optimize the coverage by moving the antenna properly. The optimization is considered as a procedure of moving signal "blind spots" according to a non-standard pattern that obeys custom needs, related to specific parameters of the environment (e.g. furniture).

2013

Nowadays, the more and more popular location based applications require accurate position information even in indoor environments. Wireless technologies can be used to derive positioning data. Especially, the Wi-Fi technology is popular for indoor localization because the existing and almost ubiquitous worldwide Wi-Fi infrastructure can be reused lowering the expenses. However, the primary purpose of these Wi-Fi systems is different from being used for positioning services, thus the accuracy they provide might be low. This accuracy can be increased by carefully placing the Wi-Fi access points to cover the given territory appropriately. In this paper, we propose a simulated annealing based method to find, in a given area, the optimal number and placement of Wi-Fi access points to be used for indoor positioning. We investigate the performance of our method via simulations.

IJID (International Journal on Informatics for Development)

Wireless networks in a room are strongly influenced by interference. To overcome the interference and so that the performance from the wireless network is getting better, then optimization is done. There are several types of propagation that can interfere with the performance of wireless networks, which include the number of transmitters (access points), free space loss, Received Signal Strength (RSSI), coverage that can be served, measuring attenuation on barriers (concrete walls, soft partitions, doors, and floors).This research is an analytical study where the purpose of this study is to determine the position of access point a good in the Shari'ah Faculty Building and the Law using the method of Bayesian probability. The first stage of this research is to determine the distance of the signal reception to find out the strength of the signal with manual random sampling so that the data obtained varies. The second stage is to determine the position of the access point with a ch...

In mobile computing scenarios, context-aware applications are more effective in relieving from the mobile user the burden of introducing information that can be automatically derived from the environment. In particular, the physical position of the mobile system (and hence of the user) is fundamental for many types of applications. User position estimation methods based on strength of the radio signals received from multiple wireless access points have been recently proposed and implemented by several independent research groups. In this paper a new approach to wireless access point placement is proposed. While previous proposals focus on optimal coverage aimed at connectivity, the proposed method integrates coverage requirements with the reduction of the error of the user position estimate. In particular, this paper proposes a mathematical model of user localization error based on the variability of signal strength measurements. This model has been designed to be independent from the actual localization technique, therefore it is only based on generic assumptions on the behavior of the localization algorithm employed. The proposed error model is used by local search heuristic techniques, such as local search, a prohibition-based variation and simulated annealing. Near-optimal access point placements are computed for various kinds of optimization criteria: localization error minimization, signal coverage maximization, a mixture of the two. The different criteria are not expected to be compatible: maximizing signal coverage alone can lead to degradation of the average positioning error, and vice versa. Some experiments have been dedicated to quantify this phenomenon and to introduce possible trade-offs.

Wireless …, 2004

A global optimization technique is applied to solve the optimal transmitter placement problem for indoor wireless systems. An efficient pattern search algorithm-DIviding RECTangles (DIRECT) of Jones et al.-has been connected to a parallel three-dimensional radio propagation ray tracing modeler running on a 200-node Beowulf cluster of Linux workstations. Surrogate functions for a parallel wideband code-division multiple-access (WCDMA) simulator were used to estimate the system performance for the global optimization algorithm. Power coverage and bit-error rate are considered as two different criteria for optimizing locations of a specified number of transmitters across the feasible region of the design space. This paper briefly describes the underlying radio propagation and WCDMA simulations and focuses on the design issues of the optimization loop. Index Terms-Bit-error rate (BER), DIviding RECTangles (DIRECT) algorithm, global optimization, power coverage, ray tracing, surrogate function, transmitter placement, wideband code division multiple access (WDCMA).

EAI, 2020

With the rapid development in the field of communication networks, an indoor positioning system (IPs) has become extremely popular in recent years. In this paper, we compute the access points (AP’s) localization to get the best coverage of the building that takes as a case study and administration of the network. The most interesting researcher topics were computing the Received Signal Strength (RSS) measurement and path loss of the signal. RSS and path loss measurement obtained from different received points distributed in different places of the building. The objective of this technique provides an overview of the available outputs of a standard Wi-Fi signal, which is the RSS from each Access Point. So, it is possible to get a list of the received power coming from all the APs covering the area where the received points are distributed in different locations. The results to determine the best direction at each received point was achieved using Wireless Insite. The methodology is applied over two steps, these are data collecting phase, and localization phase. The case study is implemented simulation results using 3D-Ray Tracing approach based wireless InSite software. This software is a suite of ray-tracing models and high-fidelity EM solvers for the analysis of site-specific radio wave propagation and wireless communication system. The aims of this paper finding the best result of the access points that coverage and transmit a signal to most received points to obtain the lowest cost of the localization method for indoor communication application.

2007

The two relevant stages in cellular network planning process arc the location selection of the transmitters and the frequency assignment. In the literature WLAN planning approach treats successively those two stages. In this article we propose a new approach where location selection and frequency assignment are tackled together during WLAN planning process. This method has two important features. Firstly we use all the available channels for frequency assignment. Secondly multiple signals are taken into account to compute the SINR. Several experimental results show the benefits of this new approach.