IJERT-Localization of Indoor Mobile Networking (original) (raw)
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Localization of Indoor Mobile Networking
International journal of engineering research and technology, 2020
Reliable indoor location techniques are essential for the development of advanced location-conscious applications. Most of the previously proposed solutions to this problem assume that the nodes can use some ranging technology to obtain pair distances to other nearby nodes. These techniques for indoor localization fix the inadequacy of the global positioning system within a closed setting, such as houses. This research describes and evaluates a method for locating devices that use a wireless network to communicate. The distances between a blind node, unable to decide its position, and a group of anchor nodes, recognizing its localization, are calculated using the signal attenuation (Relative Received Signal Strength Indicator) obtained while capturing International Mobile Subscriber Identity numbers. The position is calculated using the triangulation method.
Indoor Localization in Wireless Sensor Networks
Popularity of ubiquitous computing increases the importance of location-aware applications, which increases the need for finding location of the user. In this paper, we present a novel localization method for indoor environments using Wi-Fi infrastructure. While localization using Wi-Fi is cost effective, handling the obstructions which are the main cause of signal propagation error in indoor environments is a challenging task. We address this problem in two levels, resulting in increased accuracy of localization. In the first level, we "localize" the residing area of user node in coarse granularity. Then, we use building layout to find the objects that attenuate the signal between the reference node and the coarse estimate of the location of user node. Using multi-wall propagation model, we apply corrections for all obstructions and find the location of user node. Empirical results based on experiments conducted in lab-scale, shows meter-level accuracy.
On indoor position location with wireless LANs
The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2002
Location aware services are becoming attractive with the deployment of next generation wireless networks and broadband multimedia wireless networks especially in indoor and campus areas. To provide location aware services, obtaining the position of a user accurately is important. While it is possible to deploy additional infrastructure for this purpose, using existing communications infrastructure is preferred for cost reasons. Because of technical restrictions, location fingerprinting schemes are the most promising. In this paper we are presenting a systematic study of the performance/tradeoff and deployment issues. In this paper we present some experimental results towards such a systematic study and discuss some issues related to the indoor positioning problem.
Wireless Indoor Localization Systems and Techniques: Survey and Comparative Study
Indonesian Journal of Electrical Engineering and Computer Science, 2016
The popularity, great influence and huge importance made wireless indoor localization has a unique touch, as well its wide successful on positioning and tracking systems for both human and assists also contributing to take the lead from outdoor systems in the scope of the recent research works. In this work, we will attempt to provide a survey of the existing indoor positioning solutions and attempt to classify different its techniques and systems. Five typical location predication approaches (triangulation, fingerprinting, proximity, vision analysis and trilateration) are considered here in order to analysis and provide the reader a review of the recent advances in wireless indoor localization techniques and systems to have a good understanding of state of the art technologies and motivate new research efforts in this promising direction. For these reasons, existing wireless localization position systems and location estimation schemes are reviewed. We also made a comparison among ...
On the efficacy of WiFi indoor positioning in a practical setting
2013 IEEE Symposium on Computers and Communications (ISCC), 2013
We implement two popular WiFi, fingerprinting based indoor tracking mechanisms, namely the k-nearest neighbours and probabilistic positioning methods. Both mechanisms are evaluated in the context of an indoor position-tracking tablet application, following an investigation to determine optimal working parameters. Our results indicate that even after significant optimisation, both fingerprinting algorithms are highly sensitive to the location of the access points and do not produce finely grained location results. Although in this case the results are accurate enough for our purposes, factors such as the effect of natural body obstruction of the user as well as the location of the access points used in fingerprinting must be considered carefully if more accuracy is required.
Recently, indoor localization has witnessed an increase in interest, due to the potential wide range of using in different applications, such as Internet of Things (IoT). It is also providing a solution for the absence of Global Positioning System (GPS) signals inside buildings. Different techniques have been used for performing the indoor localization, such as sensors and wireless technologies. In this paper, an indoor localization and object tracking system is proposed based on WiFi transmission technique. It is done by distributing different WiFi sources around the building to read the data of the tracked objects. This is to measure the distance between the WiFi receiver and the object to allocate and track it efficiently. The test results show that the proposed system is working in an efficient way with low cost.
Short Survey of Wireless Indoor Positioning Techniques and Systems
INTERNATIONAL CONFERENCE ON SMART CITIES SOLUTIONS, 2016
Smart city offers different services to different people depending on a wish list. It fulfills people's aspiration level, wherever there is willingness to change and to reform. Due to the complexity people movement within and between cities, localization techniques became popular with the global positioning system for outdoor applications, followed by Personal Networks (PNs) localization for indoor applications. PN are designed to provide a flexible and fast wireless communication between user's devices and other devices, in various indoor environment places. PN mainly uses indoor positioning systems (IPSs) for improving numerous factors such as Self-organizing sensor networks, location sensitive billing, ubiquitous computing, context-dependent information services, tracking, and guiding. This paper gives a short survey of some kinds of IPSs, and focuses on triangulation to predict the target location, where for example it calculates the distance by measuring time difference of signals arrival (TDOA) over Orthogonal Frequency Division Multiplexing (OFDM), as one of several techniques identify the distance between the transmitters and receivers.
User Position Detection In An Indoor Environment
International Journal of Multimedia and Ubiquitous Engineering, 2013
Various techniques that employ Global Positioning System(GPS) signals such as A-GPS and GPS transmitters, have been introduced with the hope to provide a solution for indoor positioning detection. Indoor positioning system (IPS) is a term that is used for network devices used to wirelessly locate objects or people inside building. The study is based on the issue in order to determine the position of an object in indoor environment or inside a building. The problems arise when the position of an object inside a building cannot be determined using GPS. We proposed the implementation of trilateration technique to determine the position of users in indoor areas based on Wi-Fi signal strengths from access points (AP) within the indoor vicinity. In this paper, percentage of signal strengths obtained from Wi-Fi analyzer in a smartphone were converted into distance between users and each AP. A user's indoor position could then be determined using a formula proposed based on trilateration technique.