Titlebook: Algorithms for Sensor and Ad Hoc Networks; Advanced Lectures Dorothea Wagner,Roger Wattenhofer Textbook 2007 Springer-Verlag Berlin Heidelb

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Strategisches Personalcontrolling,ly used formal models will be introduced as basis for the design and evaluation of algorithms solving problems in this domain. We assume basic knowledge about graph theory and algorithms..In the introduction the terms ad hoc and sensor networks are defined and the OSI layer model is introduced, whic

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,?The social us“ – Arbeiten im Team,red wireless medium. If transmissions from two different nodes arrive simultaneously at a receiver, neither of them is received due to interference..In this section we start by describing the problem in more detail and give a short and necessarily incomplete overview of some of the approaches that a

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https://doi.org/10.1007/978-3-322-84224-4ask of topology control is to choose a connecting subset from all possible links such that the overall network performance is good. For instance, a goal of topology control is to reduce the number of links to make routing on the topology faster and easier.

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https://doi.org/10.1007/978-3-642-93518-3cient algorithm . (known so far) solving it with running time .(.(.)), where . is the number of nodes in the network. .(.(.)) is called . on the running time for .. After the problem is solved, the next step is to ask: Can the problem . be solved more efficiently? Is the running time of the algorith

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,Rückblick — Werk, Wirkung, Pers?nlichkeit,nt of factories, warehouses, schools, or hospitals to serve a set of customers efficiently. For an overview of previous work see the survey chapter by Cornuejols, Nemhauser & Wolsey in [289]. Recently, it has received renewed research interest because it can be used to place servers or proxies in co

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,Konvent für Technikwissenschaften,hapter contains an introduction to the problem field of geographic routing, presents a specific routing algorithm based on a synthesis of the greedy forwarding and face routing approaches, and provides an algorithmic analysis of the presented algorithm from both a worst-case and an average-case pers

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