Mobile localization in complex indoor environment based on ZigBee wireless network

With the development of wireless network and the wide application of pervasive computing technology, the location-based service (LBS) needs more and more location information for mobile users. At present, the outdoor positioning system based on satellite signals has been very mature, but it can not be applied in the complex indoor environment. Therefore, indoor positioning technology has rapidly become a research hotspot. At the same time, the rapid development of wireless network technology, because of its fast communication speed, easy deployment and other characteristics, WiFi-based indoor positioning technology has been widely concerned and studied. Therefore, this paper takes an economic WiFi-based indoor positioning method as the research foundation, and studies the corresponding improved algorithm aiming at the existing problems.

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Fuzzy extended Kalman filter for dynamic mobile localization in urban area using wireless network

Applied Soft Computing ◽

10.1016/j.asoc.2017.04.007 ◽

2017 ◽

Vol 57 ◽

pp. 452-467 ◽

Cited By ~ 11

Author(s):

N. Bouzera ◽

M. Oussalah ◽

N. Mezhoud ◽

A. Khireddine

Keyword(s):

Kalman Filter ◽

Urban Area ◽

Wireless Network ◽

Extended Kalman Filter ◽

Mobile Localization

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Optimum AP Estimation Location for the communication of different mmWave bands

Informatica : Journal of Applied Machines Electrical Electronics Computer Science and Communication Systems ◽

10.47812/ijamecs2010107 ◽

2020 ◽

Vol 01 (01) ◽

pp. 44-53

Author(s):

Maan M Abdulwahid ◽

◽

Noraldeen B Mohammed Wasel ◽

Keyword(s):

Wireless Network ◽

Indoor Environment ◽

Building Materials ◽

Signal Propagation ◽

Network Activity ◽

Localization Algorithm ◽

Optimum Location ◽

3D Ray Tracing ◽

Attenuation Characteristics ◽

Selection Of

Millimeter wave (mmWave) has been known to be the most promising technology for the future of wireless communication. It uses directional antenna for both transmitters and receivers to minimize its higher attenuation characteristics. Different localization approaches take the advantages of these directionality features in mmWave frequencies for different indoor environment. As a result, understanding the best position for AP's implementation has a huge effect on enhancing certain areas of network activity, maintenance, and coverage. In addition, establish the behavioral features of the wireless network. For localization purposes, the most used method was based on calculations of obtained signal intensity (RSS), which is commonly used in the wireless network. As well as it can be easily accessed from different operating systems. In this paper, we proposed an optimal AP localization algorithm based on RSS measurement obtained from different received points and by using mmWave bands of 28 and 39 GHz. This algorithm works as a complementary to the results obtained from 3D Ray tracing model based wireless InSite software. Four AP locations per each selected mmWave band have been included for algorithm investigation. Results obtained illustrate utility in selecting the appropriate position for the implementation of AP and based on the estimation of various parameters by the algorithm presented. The effects of different building materials and frequency sensitivity materials on signal propagation have been considered with specifying the optimum location for deploying AP. In addition, in this article, a channel characterized based on path losses was obtained for each AP position in each mmWave band as a validation of the algorithm's selection of the optimum location.

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