International audienceConnectivity patterns in intermittently-connected mobile networks (ICMN) can be modeled as edge-Markovian dynamic graphs. We propose a new model for epidemic propagation on such graphs and calculate a closed-form expression that links the best achievable delivery ratio to common ICMN parameters such as message size, maximum tolerated delay, and link lifetime. These theoretical results are compared to those obtained by replaying a real-life contact trace
Markovian evolving graphs [2] are dynamic-graph models where the links among a fixed set of nodes ch...
Markovian evolving graphs are dynamic-graph models where the links among a fixed set of nodes change...
Markovian evolving graphs are dynamic-graph models where the links among a fixed set of nodes change...
Connectivity patterns in intermittently-connected mobile networks (ICMN) can be modeled as edge-Mark...
International audienceWe describe a new model for studying intermittently connected mobile networks,...
We present a contact-based model to study the spreading of epidemics by means of extending the dynam...
We present a contact-based model to study the spreading of epidemics by means of extending the dynam...
Groups of people with mobile phones using short range connections like WiFi and Bluetooth to propaga...
Mobile devices with local wireless interfaces can be organized into opportunistic networks which exp...
In this paper, we study information propagation in a 2D mobile ad-hoc network, where mobile nodes ar...
In this paper, we study information propagation in a 2D mobile ad-hoc network, where mobile nodes ar...
The question as to how traffic or transportation processes on complex networks can shape the dynamic...
Epidemic models are increasingly applied in real-world networks to understand various kinds of diffu...
Conventional epidemic models assume omni-directional contact-based infection. This strongly associat...
Markovian evolving graphs [2] are dynamic-graph models where the links among a fixed set of nodes ch...
Markovian evolving graphs [2] are dynamic-graph models where the links among a fixed set of nodes ch...
Markovian evolving graphs are dynamic-graph models where the links among a fixed set of nodes change...
Markovian evolving graphs are dynamic-graph models where the links among a fixed set of nodes change...
Connectivity patterns in intermittently-connected mobile networks (ICMN) can be modeled as edge-Mark...
International audienceWe describe a new model for studying intermittently connected mobile networks,...
We present a contact-based model to study the spreading of epidemics by means of extending the dynam...
We present a contact-based model to study the spreading of epidemics by means of extending the dynam...
Groups of people with mobile phones using short range connections like WiFi and Bluetooth to propaga...
Mobile devices with local wireless interfaces can be organized into opportunistic networks which exp...
In this paper, we study information propagation in a 2D mobile ad-hoc network, where mobile nodes ar...
In this paper, we study information propagation in a 2D mobile ad-hoc network, where mobile nodes ar...
The question as to how traffic or transportation processes on complex networks can shape the dynamic...
Epidemic models are increasingly applied in real-world networks to understand various kinds of diffu...
Conventional epidemic models assume omni-directional contact-based infection. This strongly associat...
Markovian evolving graphs [2] are dynamic-graph models where the links among a fixed set of nodes ch...
Markovian evolving graphs [2] are dynamic-graph models where the links among a fixed set of nodes ch...
Markovian evolving graphs are dynamic-graph models where the links among a fixed set of nodes change...
Markovian evolving graphs are dynamic-graph models where the links among a fixed set of nodes change...