The widely applied location-based services require a high standard for positioning technology. With the development of the wireless communication technology, the positioning services based on Wi-Fi are increasingly demanded. To understand the positioning accuracy limits under a certain given Access Point topology and to be able to make design recommendations. This paper proposed a method for proper deployment of AP devices on the building of the electrical department in the university of technology and computing the measurements of the Received Signal Strength (RSS). Received Signal Strength measurement was obtained from different received points located within the targeted building. Many software can be used for the measuring of RSS values. In our work, it has been used Net Spot pro software. Net Spot is a software tool for wireless network assessment, scanning, and surveys, analyzing Wi-Fi coverage and performance. RSS reading were measured for four directions (North-South-East – West). It should mention that each RSS measurement obtained per each direction, is actually the average of 4 RSS measurement samples. This trend is to provide more accurate results than a single measurement Floor layout has been designed and imported to the software and used to allocate the measurements in the exact received point locations. The objective of this paper is to achieve full coverage area with less number of AP devices and reduce the total implementation costs.
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.
The huge ubiquitous deployment of wireless technologies and the pervasive availability of smart devices, indoor localization has become one of the most interesting topics in numerous location-based services. Where several methods have been adopted to estimate and localize the mobile and user location. The earliest and most interesting method was based on received signal strength (RSS) measurement. However, such method has showed weakness in handling the accurate estimation results. Recently, researchers start gather several different methods to achieve the advantages of each method and achieve higher accurate estimation. Hence, in this paper a hybrid localization algorithm has been designed and proposed based on the use of both RSS and angle-ofarrival (AoA). The algorithm has been tested in a three-dimensional indoor building; we are taking the effects of different building materials. The results were obtained depending on the measurement of RSS and AoA gathered from each received point and by using two AP devices for more accuracy in positioning coordination, the type of the transmitters is directional.
Localization algorithm plays the major rule for different applications such as tracking, positioning, and monitoring. The general framework presented by localization approaches may not work well in practical environments, due to many reasons related with dealing with 2 Dimensional space only or having high computational costs. As a result, Hybrid Localization Algorithm (HLA) was proposed and presented in this paper based on the use of both Received Signal Strength (RSS) and Angle-of-Arrival (AoA). The algorithm has been tested in a 3 Dimensional indoor scenario, with considering the effects of different building materials. Obtained result indicate an effectiveness in localizing the received points by using 2 transmitters for more accuracy in positioning coordination with average ranging error of less than 0.23m for both Line of Sight (LoS) and Non Line of Sight (NLoS) cases.
Best way to increase the accuracy of locating places inside large buildings. Hybrid algorithms are used to deploy the advantages of one algorithm to overcome the drawbacks of the other. A hybrid algorithm based on AoA/RSS, with Omni and directional antennas, is used to estimate the locations. The era of the wireless communication-based indoor environment has resulted in several challenges represented by signal reflection, diffraction, and attenuation. Thereby, it affects several wireless-based applications such as positioning, localization, monitoring different objects. With such challenges, estimation error would be increased significantly, and the accuracy will be reduced. To handle such challenges, several new approaches were proposed by many researchers. The most interesting approach for the localization purpose was the hybrid localization approach. A combination of several parameters would be utilized to propose methods that take advantage of these parameters. In this work, a comprehensive analysis was carried out for results obtained based on the proposition of two hybrid algorithms for localization in an indoor environment. The first algorithm utilized the Received Signal Strength (RSS) and Angle of Arrival (AoA) parameter to be tested for both Omni and Directional antenna type Access point (AP) device. While the second algorithm was based on the use of Time of Arrival (ToA) and RSS, which have been calculated via Wireless InSite (WI) software. The analyzing results indicate that using AoA/RSS method with the Omni AP antenna has achieved higher accuracy for the overall normal distribution scenario. However, ToA/RSS has shown higher accuracy estimation for far point distribution. Meanwhile, AoA/RSS with Directional antenna AP has an accuracy limited with distribution location. Due to the characteristics of the directional antenna pattern.
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