In this paper, we focus on large-scale and dense Cyber- Physical Systems, and discuss methods that tightly integrate communication and computing with the underlying physical environment. We present Physical Dynamic Priority Dominance ((PD)2) protocol that exemplifies a key mechanism to devise low time-complexity communication protocols for large-scale networked sensor systems. We show that using this mechanism, one can compute aggregate quantities such as the maximum or minimum of sensor readings in a time-complexity that is equivalent to essentially one message exchange. We also illustrate the use of this mechanism in a more complex task of computing the interpolation of smooth as well as non-smooth sensor data in very low time...
Part 6: Large-Scale Decentralised SystemsInternational audienceOne of the key coordination problems ...
textModern day networks, both physical and virtual, are designed to support increasingly sophisticat...
We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to ...
In this paper, we focus on large-scale and dense Cyber- Physical Systems, and discuss methods that ...
Consider the problem of designing an algorithm for acquiring sensor readings. Consider specifically ...
We focus on large-scale and dense deeply embedded systems where, due to the large amount of informat...
Consider a distributed computer system such that every computer node can perform a wireless broadca...
Consider a network where all nodes share a single broadcast domain such as a wired broadcast networ...
Consider a distributed computer system such that every computer node can perform a wireless broadcas...
International audienceTechnical advances in ubiquitous sensing, embedded computing, and wireless com...
AbstractWe consider a scenario where nodes in a sensor network hold numeric items, and the task is t...
Monitoring large computer networks often involves aggregation of various sorts of data that are dist...
Abstract — Monitoring large computer networks often involves aggregation of various sorts of data th...
Cyber-Physical Systems (CPSs) represent the next generation of computing that is ubiquitous, wireles...
We present a distributed algorithm for cyber-physical systems to obtain a snapshot of sensor data. T...
Part 6: Large-Scale Decentralised SystemsInternational audienceOne of the key coordination problems ...
textModern day networks, both physical and virtual, are designed to support increasingly sophisticat...
We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to ...
In this paper, we focus on large-scale and dense Cyber- Physical Systems, and discuss methods that ...
Consider the problem of designing an algorithm for acquiring sensor readings. Consider specifically ...
We focus on large-scale and dense deeply embedded systems where, due to the large amount of informat...
Consider a distributed computer system such that every computer node can perform a wireless broadca...
Consider a network where all nodes share a single broadcast domain such as a wired broadcast networ...
Consider a distributed computer system such that every computer node can perform a wireless broadcas...
International audienceTechnical advances in ubiquitous sensing, embedded computing, and wireless com...
AbstractWe consider a scenario where nodes in a sensor network hold numeric items, and the task is t...
Monitoring large computer networks often involves aggregation of various sorts of data that are dist...
Abstract — Monitoring large computer networks often involves aggregation of various sorts of data th...
Cyber-Physical Systems (CPSs) represent the next generation of computing that is ubiquitous, wireles...
We present a distributed algorithm for cyber-physical systems to obtain a snapshot of sensor data. T...
Part 6: Large-Scale Decentralised SystemsInternational audienceOne of the key coordination problems ...
textModern day networks, both physical and virtual, are designed to support increasingly sophisticat...
We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to ...