Frank Reichenbach

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— This paper investigates the energy problem in sensor networks. After random deployment, nodes have to observe a region and transmit their sensor data to a central station. By checking redundancies in coverage and transmission with our XGAF algorithm presented here it is possible to shutdown the majority of nodes into sleep mode. Computation reduction in(More)
— Modern sensor networks are deployed in various terrains of interest. As the complexity of their deployed areas is growing, existing geographic routing algorithms are facing challenges. Holes in networks often cause failures in message routing. Energy consumption, scalability, and routing efficiency are also key design challenges. In this paper, we propose(More)
Localizing sensor nodes is essential due to their random distribution after deployment. To reach a long network lifetime, which strongly depends on the limited energy resources of every node, applied algorithms must be developed with an awareness of computation and communication cost. In this paper we present a new localization method, which places a(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)
Obstacles are but pleasing for many aspects of large real-world sensor networks. Among other things, the presence of obstacles distort the sensor node localization process and might lead to costly routing because of unnecessary detours and/or dead ends. In order to relieve these problems, this paper proposes a distributed obstacle localization algorithm,(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)
—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)