part 3. research themes
DESCRIPTION
Part 3. Research Themes. Social-based Communication Epidemiology Complex Networks Human Mobility Social Phenomena DTN Capacity. Impact of Altruism on Opportunistic Communication. Opportunistic Communication Largely relies on human as relays Problems (battery life) - PowerPoint PPT PresentationTRANSCRIPT
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Part 3. Research Themes
• Social-based Communication
• Epidemiology
• Complex Networks
• Human Mobility
• Social Phenomena
• DTN Capacity
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Impact of Altruism on Opportunistic Communication
• Opportunistic Communication– Largely relies on human as relays– Problems (battery life)– Requires altruistic behaviour
• Human Communication Pattern– Community-biased
• Findings– Opportunistic networks are very robust to the distributions of altruism
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• Simulation of asynchronous messaging on Static social network topologies
• Emulation on real human mobility traces
• Performance metrics– Successful delivery ratio– Delivery delay
Methodology
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Altruism and Traffic Models• Altruism Models
– Percentage of selfishness– Uniform, normal– Geometric – Community-biased– Degree-biased
• Traffic Models– Uniform– Community-biased
(1 )( ) (1 ) kP X k p p−= = −
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Results and Evaluations
(a) Uniform (b) Normal (c) Geometric (p = 0.5)
Fig. 1. Delivery ratio with percentage of community-biased traffic using different altruism distribution
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Results and Evaluations (2)
Fig. 2 Delivery ratio with parameter alpha using uniform traffic
Fig. 3. Delivery ratio with percentage of community biased traffic using degree biased altruism distribution
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Results and Evaluations (3)
Fig. 4 Delivery ratio of the Caveman model with varying intra- and inter-community altruism
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Results and Evaluations (4)
Fig.5. Delivery ratio of four datasets with percentage of selfish nodes
Fig.6. Delivery ratio with uniform traffic on Cambridge data
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Conclusions & Future Work• Opportunistic communication and information dissemination in
social networks are very robust toward altruism distribution due to their multiple forwarding paths
• Altruism values resulting from gaming strategies
• Feedbacks from previous delivery histories
• Power consumption of nodes, and how it is affected by the altruism
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Epidemic Modeling (LNCS ACRI 2008)
• Demographics• Non-homogeneous population
– Age Dependency• Influenza spread firstly in children aged 3-4 (Browstein)• Infectivity/Susceptibility varies with age
– Location Dependency
• Human Mobility• Social Containment Strategies• Vaccination Strategies
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Demographics
*Statistics.gov.uk
*Nature [0028-0836] Eubank (2004)
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Seasonal Factor
*UK Health Protection Agency (www.hpa.org.uk)
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Model