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– Localization in wireless sensor networks gets more and more important, because many applications need to locate the source of incoming measurements as precise as possible. Weighted Centroid Localization (WCL) provides a fast and easy algorithm to locate devices in wireless sensor networks. The algorithm is derived from a centroid determination which(More)
− 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)
—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)
This article describes the new concept of service oriented software architecture for mobile sensor networks. By the use of this architecture, a flexible, scalable programming of applications based on an adaptive middleware is possible. The middleware supports mechanisms for cooperative data mining, self-organization, networking, and energy optimization to(More)
− − − − In sensor networks, randomly distributed sensor nodes have to determine its own positions to assign measurements to locations. Due to limited resources of the nodes, resource-aware positioning algorithms are required. In this paper, we present a solution to minimize the positioning error of the " Weighted Centroid Localization "-algorithm (WCL)(More)
– A wide range of sensor network applications deals with an issue often referred to as data collection: sensor nodes periodically transmit data to a base station. The base station analyzes incoming data for interesting events. In this paper, we introduce a novel Data Collection Protocol (DCP) for wireless sensor networks. DCP is tailored to Bluetooth-based(More)
—We present SeNeTs and EnviSense. SeNeTs is a powerful software environment for test and validation of sensor network applications. It administrates large-scale sensor networks during execution without affecting communication among sensor nodes. Moreover, SeNeTs allows efficient debugging of sensor network applications with sophisticated update mechanisms.(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)