http://copelabs.ulusofona.pt Human-centered Computing Lab Dynamics of Social-aware Pervasive Networks Waldir Moreira and Paulo Mendes [email protected]March 27th, 2015 4th IEEE PerCom Workshop on the Impact of Human Mobility in Pervasive Systems and Applications (PerMoby 2015) St. Louis, USA
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Scenarios CRAWDAD Cambridge trace CRAWDAD MIT trace
Simulation Time 1036800 sec 17020800 sec
# of Nodes 36 97
Generated messages 6000 78000
Node Interface Bluetooth
Node Buffer 2 MB
Message TTL Length of experiments
Message Size 1 – 100 kB
Impact of HBA on Opportunistic Forwading
HBA-based Forwarding (HF): weight of social link dLife: social weight, node importance dLifeComm: social weight, node importance, net. community Bubble Rap: network community, node centrality Rank: node importance Epidemic: pure contact-based forwarding
Understand the impact on opp. forwarding when operating overHBA-based graphs
Average latency reduction of 5.1% for all forwarding approaches
Average cost
– Reduction of 44% for approaches based on social weights or communities (HF, dLife, Bubble Rap)
– Social-oblivious and node degree-based approaches are highly penalized (68% increase)
• Epidemic, ignores dynamics and spreading is eased by nodes being well conected (giant component, SF)
• dLifeComm and Rank, significant number of nodes with degree higher than the average
Average delivery probability
– Subtle decrease: up to 3.6% and 4.3% for the Cambridge and MIT
– Data mule effect for approaches relying on social weights (HF, dLife, and dLifeComm): carriers have difficulty in finding nodes with a higher social weight → direct delivery