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".

In a modern conference room, various of video and audio devices are provided to ensure efficient communications. This is commonly referred to as a conferencing system. Compared to wired conferencing systems, wireless systems require less deployment effort, but may become unreliable when the selected radio spectrum is highly occupied. This demo focuses on improving the quality of service of a commercial wireless conferencing system using dynamic channel selection based on real-time spectrum sensing. The proposed solution is verified in a large-scale wireless testbed, and the result shows that the link of the conferencing system is indeed more robust against interference when cognitive solution is applied.

In a future 'internet of things', an increasing number of every-day objects are connected with each other. Nowadays, connectivity between these devices is supported by assigning each device to an existing (wireless) network. However, these networks do not take into account the individual needs of these devices, even though all these devices are very different in terms of application requirements and hardware capabilities. Moreover, multiple existing networks are often configured independent from each other without any interaction. As an alternative, this paper proposes and discusses a methodology that more efficiently supports network cooperation between heterogeneous devices. The paper argues for autonomously created communities of similar devices, that are able to negotiate with different co-located communities to further optimize their network performance. Different communities engage in cooperation by activating network service, but only when the end result is beneficial for all involved communities. In this paper, the concepts and advantages of this approach are discussed. In addition, a methodology is explored that is able to realize these concepts. Finally, based on this methodology, possible network solutions are presented, remaining challenges are listed and future research opportunities are identified.