Alexander Pollok

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Deciding what to include in a model is the essence of physical modeling. If this kind of decisions is done incorrectly, it results in a model that is both less accurate and offers less performance than others. This paper presents a method to deal with these decision problems and quantify the results. A workflow is proposed, where the modeler first builds a(More)
In this paper, we investigate the load balancing effect of stochastic routing in wireless sensor networks. Our motivation is based on the common claim that the randomness in routing achieves energy-efficient load balancing. We introduce an evaluation framework based on discrete time absorbing Markov chains for destination-based stochastic routing. Based on(More)
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