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Download or read book Wireless Indoor Localization Based on Passive RFID Tags written by Alseny Diallo and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Location-based services (LBSs) are significantly becoming a vital part of life. Global Navigation Satellite Systems such as GPS have been used in a wide range of applications, from transport navigation, and synchronization of telecommunications networks. GPS works remarkably well in outdoor positioning. However, GPS does not perform well when the target object is close to walls, buildings, trees, or indoor environments. This is because the signal from the GPS satellites is too weak to penetrate an obstacle like concrete walls and buildings. Due to the complicated characteristics of indoor environments, the development of an indoor localization technique is always linked with a set of difficulties. For instance, indoor localization systems are challenged by the influence of obstacles like equipment, movement of human beings, doors, walls, and more. To overcome those challenges, we propose an indoor localization system that uses radio frequency identification tags or RFID tags to localize moving targets. Our indoor localization algorithm derives the accurate location of a target object using a set of RFID tags deployed in a predefined area. Our localization algorithm derives the target device’s location based on the signal it receives from surrounding tags. Depending on the number of tags in the surrounding area, the algorithm uses different formulas to calculate the target’s location. Specifically, there are three different cases. A case where a target object is nearby one tag, two tags or three tags. The localization algorithm works well when an area is well covered by tags. To optimize the coverage using a limited number of tags, we developed a greedy algorithm that uses a novel score function to help deploy the RFID tags in a predefined area to guarantee maximum coverage. This approach is evaluated using both simulation and real system use cases. Additionally, we designed a system deployment that uses the localization algorithm and the tag deployment algorithm to track several target objects in a 2-dimensional space. The system is proven to be reliable, fault-tolerant and scale very well with an increase in workload. The results show our approach is effective in localizing target objects with high accuracy.