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− Software development for wireless sensor networks requires novel programming paradigms and technologies. This article describes the concept of a new service oriented software architecture for mobile sensor networks. With this architecture, a flexible, scalable programming of applications based on an adaptive middleware is possible. The middleware supports(More)
Location-awareness is highly relevant subject in ubiquitous computing, as many applications exploit location information to provide adequate services or adapt to a changing physical environment. While GPS provides reliable outdoor localization, indoor positioning systems present a bigger challenge. Many indoor localization systems have been proposed.(More)
We report on the observation of two neutrino-induced events which have an estimated deposited energy in the IceCube detector of 1.04±0.16 and 1.14±0.17 PeV, respectively, the highest neutrino energies observed so far. These events are consistent with fully contained particle showers induced by neutral-current ν(e,μ,τ) (ν(e,μ,τ)) or charged-current ν(e)(More)
—Autonomous localization of nodes in wireless sensor networks is essential to minimize the complex self-organization task consequently and to enhance network lifetime. Known techniques such as distance estimation based on received signal strength are mostly inaccurate and strong constrained. We propose a new method to measure a distance using the minimal(More)
The localization process in wireless sensor networks must produce precise positions at minimal requirements. It is hard to comply with these conditions, due to the strong resource limitation of each sensor node. Although numerous algorithms have already been presented, so far there exist neither an extensive simulative comparison of them nor a qualified(More)
We report on results of an all-sky search for high-energy neutrino events interacting within the IceCube neutrino detector conducted between May 2010 and May 2012. The search follows up on the previous detection of two PeV neutrino events, with improved sensitivity and extended energy coverage down to about 30 TeV. Twenty-six additional events were(More)
Positioning sensor nodes requires distance information to reference points. Due to resource limitations in sensor networks, distance determination in low-cost sensor nodes without additional hardware is difficult. Known techniques such as distance estimation based on received signal strength (RSSI) are mostly inaccurate or have limitations. We propose a new(More)
In wireless sensor networks, the coarse grained localization is a method to compute the position of randomly distributed sensor nodes. Without optimizations, it provides low precision which heavily depends on the transmission range of base stations. In this paper, we propose novel optimizations of Coarse Grained Localization with Centroid Determination(More)
This paper describes our work towards a rapid prototyping system for hard real-time systems focusing on scheduling algorithms and scheduler implementations. The framework aims at speeding up the decision making process during selection of a suitable scheduling algorithm for a real-time application. The framework supports various kinds of real-time(More)