RMLNet—A Reliable Wireless Network for a Multiarea TDOA-Based Localization System

Abstract

Ultrawideband (UWB) wireless communication is a promising spread-spectrum technology for accurate localization among devices characterized by a low transmission power, a high rate and immunity to multipath propagation. The accurately of the clock synchronization algorithm and the time-difference-of-arrival (TDOA) localization algorithm provide precise position information of mobile nodes with centimeter-level accuracy for the UWB localization system. However, the reliability of target node localization for multi-area localization remains a subject of research. Especially for dynamic and harsh indoor environments, an effective scheme among competing target nodes for localization due to the scarcity of radio resources remains a challenge. In this paper, we present RMLNet, an approach focus on the medium access control (MAC) layer, which guarantees general localization application reliability on multi-area localization. Specifically, the design requires specific and optimized solutions for managing and coordinating multiple anchor nodes. In addition, an approach for target area determination is proposed, which can approximately determine the region of the target node by the received signal strength indication (RSSI), to support RMLNet. Furthermore, we implement the system to estimate the localization of the target node and evaluate its performance in practice. Experiments and simulations show that RMLNet can achieve localization application reliability multi-area localization with a better localization performance of competing target nodes.

Range-Extension Algorithms and Strategies for TDOA Ultra-Wideband Positioning System

“…However, line-of-sight (LOS) anchor pairs may not always be present between adjacent rooms, and a viable path may not be included in the treemap. The study in [ 36 ] proposed a grid-based positioning system in which TDOA anchors are placed as multiple grids and synchronized using wireless signals. Every anchor establishes a connection to the Internet to schedule time-division multiple access slots and transmit positioning data, while tags connect to the cell with the strongest received signal strength.…”

Energy-Efficient Reconstruction Method for Transmission Lines Galloping With Conditional Generative Adversarial Network

“…Integrates modern information and advanced communication technologies, such as big data, cloud computing [25], wireless sensor network [26], wide area measurement systems [27], mobile Internet, and blockchain [28], the ubiquitous power IoT (UPIoT) has grown rapidly in recent years in China, which significantly improves the operation-state monitoring system of the transmission line. Using ultra-wideband localization technology [29] or DGPS [15], a tag can be accurately positioned in three-dimensional space. In the monitoring system, as shown in Fig.1, sensors (Tags) are deployed on the transmission line to monitor the position periodically at a pre-defined rate and disseminate the acquired information in real-time/timing to the tower monitoring extension using the wireless network.…”