Anna Förster

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Based on the memory for the re-expression of certain cytokine genes, different subsets of Th cells have been defined. In Th type 1 (Th1) and Th2 memory lymphocytes, the genes for the cytokines interferon-gamma and interleukin (IL)-4 are imprinted for expression upon restimulation by the expression of the transcription factors T-bet and GATA-3, respectively,(More)
Node lifetime is a key performance metric in wireless sensor network (WSN) research. Simplistic assumptions and naïve lifetime estimation techniques invariably prove to be extremely unreliable in practice, to the point that premature battery depletion notoriously affects real-world deployments. In this paper we adopt an experimental approach and(More)
This work describes a study of applying reinforcement learning to balance energy expenditure in wireless sensor networks, contributing both with a protocol and a novel observation regarding exploration in reinforcement learning. Our starting point is FROMS, our own multi-source multi-sink routing protocol which exploits learning to identify the lowest cost(More)
In this paper, we propose a novel architecture for wireless sensor network testbeds, called MOTEL. The main novelty compared to existing architectures is the possibility to include mobile sensor nodes. To support mobility, we deal with two main challenges: controlled mobility of sensor nodes, and the need to operate sensor nodes in the absence of a(More)
This paper describes a method to reduce the effects of the system immanent control delay for the RoboCup small size league. It explains how we solved the task by predicting the movement of our robots using a neural network. Recently sensed robot positions and orientations as well as the most recent motion commands sent to the robot are used as input for the(More)
A growing class of wireless sensor network (WSN) applications require the use of sensed data inside the network at multiple, possibly mobile base stations. Standard WSN routing techniques that move data from multiple sources to a single, fixed base station are not applicable, motivating new solutions that efficiently achieve multicast. This paper explores(More)
Interest in extracting and exploiting information from wireless sensor networks has been increasing for several years. Most scenarios focus on collecting and evaluating large amounts of data at a single sink, and many protocols and algorithms have been designed to accomplish this efficiently. However, not all applications require all data, nor do they have(More)
Teaching wireless sensor networks (WSNs) at the undergraduate level is both challenging and rewarding. WSNs include low-level programming and debugging, power-aware operations, novel communication paradigms and interdisciplinary applications in real world environments. These characteristics enable the students to learn how to cope with complete systems,(More)
Efficiently moving sensor data from its collection to use points is both the fundamental and the most difficult challenge in wireless sensor networks, as any data movement incurs cost. In this work, we focus on routing data to multiple, possibly mobile sinks. To deal with the dynamics of the environment arising from mobility and failures, we choose a(More)
Wireless sensor networks (WSNs) penetrated the market mainly as solutions for specific application scenarios. However, this strong specialization limits WSNs reuse both in terms of development as well as in terms of technical results: Every new application scenario requires a new design, development and validation, as well as management skills. This is(More)