TL;DR: A new indoor positioning system called DOLPHIN, which consists of distributed wireless sensor nodes which are capable of sending and receiving RF and ultrasonic signals and enables autonomous positioning of the objects with minimal manual configuration.
Abstract: Determining physical location of indoor objects is one of the key issues in development of context-aware applications in ubiquitous computing environments. This is mainly because context information obtained from sensor networks is meaningful only when the physical location of the context information source is determined. Recently, several indoor location information systems, such as Active Bat and Cricket, have been developed for precise indoor object localization. However, to provide accurate physical location tracking in large-scale space, those systems requires a lot of manual configuration for all the ultrasonic sensor nodes. To reduce configuration costs, we developed a new indoor positioning system called DOLPHIN. The DOLPHIN system consists of distributed wireless sensor nodes which are capable of sending and receiving RF and ultrasonic signals. These nodes are attached to various indoor objects. And using a novel distributed positioning algorithm in the nodes, DOLPHIN enables autonomous positioning of the objects with minimal manual configuration. This paper describes the design and implementation of the DOLPHIN system, and evaluates basic performance through several experiments in an indoor environment.
TL;DR: It is concluded that Bluetooth is poorly suited to the purpose of fine-grained, low latency location inference due to specification and hardware limitations, and note that the movement speed of mobile devices is an important factor in calculating available bandwidth.
Abstract: The ubiquitous computing community has widely researched the use of 802.11 for the purpose of location inference. Meanwhile, Bluetooth is increasingly widely deployed due to its low power consumption and cost. This paper describes a study of Bluetooth radio propagation using an accurate indoor location system to conduct fine-grained signal strength surveys. We discuss practical problems and requirements encountered setting up the infrastructure using the ultrasonic Active Bat indoor location system, and limitations of the commodity Bluetooth devices used. We conclude that Bluetooth is poorly suited to the purpose of fine-grained, low latency location inference due to specification and hardware limitations, and note that the movement speed of mobile devices is an important factor in calculating available bandwidth. We publish our data sets of signal strength samples for the community to freely use in future research.
TL;DR: This paper proposes a general solution to the scalability problem of the Active Bat system based on the computation of dynamic bounding regions within which corresponding tags are almost certainly located that permit more concurrency than is possible using multiple radio zones whilst at the same time reducing the complexity of the system.
Abstract: This paper looks at the scalability problems inherent in the Active Bat system: an outside-in ultrasonic location system. Such systems are typically associated with higher positioning accuracies and longer tag battery lifetimes relative to comparable inside-out systems. However, they are often criticised for a lack of scalability since multiple tags must be addressed in series to prevent interference within the positioning medium. Multiple radio zones have previously been used to address this problem. We show that this approach is sub-optimal both in terms of system complexity and in terms of the location update rates that can be achieved. We propose a general solution to the scalability problem based on the computation of dynamic bounding regions within which corresponding tags are almost certainly located. These regions are used to determine when tags are sufficiently well separated to be queried concurrently without the risk of interference. We test this approach using real data, concluding that bounding regions permit more concurrency than is possible using multiple radio zones whilst at the same time reducing the complexity of the system.
TL;DR: This study attempted to suggest passive RFIF-based Indoor Positioning System (IPS) for tracking the location of the moving objects (humans and assets) in real time.
Abstract: The location awareness technology is a core technology to be expanded to include objects from human-oriented informatization, and active support actions have been performed in developed countries such as the United States and Japan to implement the location awareness technology and Real Time Location System (RTLS) tag and antenna technology for real-time location tracking through a variety of projects for years. However, problems have been posed by Global Positioning System (GPS) based on the location awareness technology and active bat system using sound waves in terms of the space and construction costs. In this regard, this study attempted to suggest passive RFIF-based Indoor Positioning System (IPS) for tracking the location of the moving objects (humans and assets) in real time.