Indoor Positioning Systems (IPS) using ultra-wideband (UWB) are used in several application domains to optimize production processes and save expensive man hour costs. To deploy such a system, most solutions rely on an existing backbone network that is used for communication between the anchors and the Real Time Localization System (RTLS), which calculates the location. Our solution aims to be easy to install by using an IoT-standardized and low-power sub-GHz radio as backbone communication medium. Furthermore, using this low-power radio allows us to decrease the overall energy consumption of the anchors. In the demo we showcase that our solution does not require any wired connections and is a factor five more energy efficient than existing implementations.

Indoor positioning systems (IPS) aim to track objects, people or assets with the highest possible accuracy. In literature, it has been shown that among radio-frequency based technologies, ultra-wideband (UWB) is capable of providing em-level accuracy. However, this technology is not yet mature when it comes to large-area coverage and multi-user support. To remedy this, this paper proposes a TDMA protocol for a large scale localization network with numerous simultaneously active users. To this end, a full system was designed that handles the scheduling of the transmissions, the synchronization of the fixed nodes and the roaming of the mobile nodes. Moreover, the performance of the system has been analyzed by simulations using OMNeT++ and INET framework. The simulation was improved with real life experiments and has been used to evaluate full TDMA/TDoA approach. Our solution improves the scalability to 88.3 % effective spectrum usage, compared to only 18.6% when using ALOHA, while mobile nodes are able to roam successfully in 90% of the handovers.

Indoor localization and navigation using wireless sensor networks is still a big challenge if expensive sensor nodes are not involved.Previous research has shown that in a sparse distributed sensor network the error distance is way too high.Even room accuracy can not be guaranteed.In this paper, an easy-to-use generic positioning framework is proposed, which allows users to plug in a single or multiple positioning algorithms.We illustrate the usability of the framework by discussing a new hybrid positioning solution.The combination of a weighted (range-based) and proximity (range-free) algorithm is made.Both solutions separately have an average error distance of 13.5m and 2.5m respectively.The latter result is quite accurate due to the fact that our testbeds are not sparse distributed.Our hybrid algorithm has an average error distance of 2.66m only using a selected set of nodes, simulating a sparse distributed sensor network.All our experiments have been executed in the iMinds testbed: namely at "de Zuiderpoort".These algorithms are also deployed in two real-life environments: "De Vooruit" and "De Vijvers".

As embedded networks are evolving to open systems, it's becoming possible to create new applications on top of these existing embedded systems. However, developing new applications can be difficult due to the large diversity of protocols that exist today. In this paper, the authors demonstrate how employing the CoAP protocol can enable rapid application development by re-using well-known principles from the Web development world. Furthermore, we also demonstrate how a number of extensions to CoAP help to lower the barrier for developing applications even further.