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Low computation and low latency algorithms for distributed sensor network initialization

Related publications (45)

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Rate allocation and optimized decoding in inter-session network coding

Eirina Bourtsoulatze

Recent advances in data processing and communication systems have led to a continuous increase in the amount of data communicated over today’s networks. These large volumes of data pose new challenges on the current networking infrastructure that only offe ...

EPFL2013

Biomechanics of DNA structures visualized by 4D electron microscopy

Ulrich Lorenz

We present a technique for in situ visualization of the biomechanics of DNA structural networks using 4D electron microscopy. Vibrational oscillations of the DNA structure are excited mechanically through a short burst of substrate vibrations triggered by ...

2013

Analysing Neuronal Network Architectures

Christian Tomm

The connections cortical neurons forms are different in each individual human or animal. Although there are known and determined large scale connections between areas of the brain that are common across individuals, the local connectivity on smaller scales ...

EPFL2012

Practical Network Tomography

Denisa Gabriela Ghita

In this thesis, we investigate methods for the practical and accurate localization of Internet performance problems. The methods we propose belong to the field of network loss tomography, that is, they infer the loss characteristics of links from end-to-en ...

EPFL2012

Adaptive decision-making over complex networks

Ali H. Sayed

It is common for biological networks to encounter situations where agents need to decide between multiple options, such as deciding between moving towards one food source or another or between moving towards a new hive or another. In previous works, we dev ...

IEEE2012

Analysis of Spatial and Incremental LMS Processing for Distributed Estimation

Ali H. Sayed

Consider a set of nodes distributed spatially over some region forming a network, where every node takes measurements of an underlying process. The objective is for every node in the network to estimate some parameter of interest from these measurements by ...

IEEE2011

Definitive Consensus for Distributed Data Inference

Leonidas Georgopoulos

Inference from data is of key importance in many applications of informatics. The current trend in performing such a task of inference from data is to utilise machine learning algorithms. Moreover, in many applications that it is either required or is pref ...

EPFL2011

Selection of Network Coding Nodes for Minimal Playback Delay in Streaming Overlays

Pascal Frossard, Nikolaos Thomos, Nicolae Cleju

Network coding permits to deploy distributed packet delivery algorithms that locally adapt to the network availability in media streaming applications. However, it may also increase delay and computational complexity if it is not implemented efficiently. W ...

2011

Selection of Network Coding Nodes for Minimal Playback Delay in Streaming Overlays

Pascal Frossard, Nikolaos Thomos, Nicolae Cleju

2011

Distributed classification of multiple observation sets by consensus

Pascal Frossard, Effrosyni Kokiopoulou

We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad hoc network of vision sensors. Assuming that each sensor captures a different observation of the same object, the problem is to cl ...

Institute of Electrical and Electronics Engineers2011