2011
DOI: 10.1109/tcomm.2011.020811.090163
|View full text |Cite
|
Sign up to set email alerts
|

Performance of Opportunistic Epidemic Routing on Edge-Markovian Dynamic Graphs

Abstract: Abstract-Connectivity 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.

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
53
0

Year Published

2011
2011
2016
2016

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 49 publications
(53 citation statements)
references
References 13 publications
0
53
0
Order By: Relevance
“…Greedy Forwarding: Greedy Forwarding approaches is that, at the each stage visit an unvisited node nearest to the current node [10]. Thus, every node forwards the message to the neighbor that's best suited from a local point of view.…”
Section: Sogr-hrmentioning
confidence: 99%
See 1 more Smart Citation
“…Greedy Forwarding: Greedy Forwarding approaches is that, at the each stage visit an unvisited node nearest to the current node [10]. Thus, every node forwards the message to the neighbor that's best suited from a local point of view.…”
Section: Sogr-hrmentioning
confidence: 99%
“…Panagakis et al in [9] analytically derived the message delivery likelihood of two-hop relay below a given time limit by approximating the cumulative distributed operate (CDF) of message delivery delay, with the belief that for any node pair the message may be with success transmitted whenever they meet one another. In [10], Whit beck et al explored the impact of message size, message lifespan and link lifespan on the message delivery ratio (probability) of epidemic routing by treating the intermittently connected mobile networks (ICMNs) as edge-Markovian graphs, wherever every link (edge) is taken independent and simultaneously has the same transition probabilities between "up" and "down" status. Further it explored that impact of message scheduling and drop policies on the delivery likelihood performance of epidemic routing, and planned a distributed scheduling and drop policy supported applied math learning to approximate the optimum performance in [11].…”
Section: Introductionmentioning
confidence: 99%
“…Bluetooth or WiFi Direct). Moreover, by relying on properly designed security mechanisms, 10 mobile opportunistic networks can increase the confidentiality and privacy of communications, since direct communications, unlike infrastructure based communication, are more robust to the tracking of the user behaviour.…”
Section: Introductionmentioning
confidence: 99%
“…Analytical models can avoid these drawbacks providing a fast and broader performance evaluation. Two classes of analytical models have been proposed for modelling this network dynamics: Markovian models [5,6,7,8,9,10] and deterministic models based 35 on Ordinary Differential Equations (ODEs) [6,11,12,13]. Analytical models require anyway a precise and concise description of the mobility scenario, that usually assume that the inter-contact times distribution between pairs of nodes are exponentially distributed with a given contact rate [5].…”
mentioning
confidence: 99%
“…These models are considered macroscopic models, where we can identify the key mechanisms underlying the information diffusion. Two main classes of analytical models have been proposed for modeling this network dynamics: Markovian models [52,53,144,56,80,164] and deterministic models based on population or epidemic processes [53,172,33,169,61].…”
Section: Performance Evaluation Of Opportunistic Networkmentioning
confidence: 99%