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Human-centered Computing Lab
Social-aware Forwarding in Opportunistic Wireless
Networks: Content Awareness or Obliviousness?
Waldir Moreira and Paulo Mendes
waldir.junior@ulusofona.pt
June 16th, 2014
8th IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC 2014)
Sydney, Australia
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt
Agenda

Introduction

Social-aware Forwarding in
Opportunistic Wireless Networks

Experiments

Content Awareness or Obliviousness:
Which way to go?
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt
Introduction

Information-Centric Networking (ICN): driven by information
- Data-Oriented Network Architecture (DONA)
- Named Data Networking (NDN)
- Network of Information (NetInf)

Opportunistic Networks (OppNets): driven by contact opportunity
- Single-copy forwading
- Replication-based
Aim at improving content dissemination
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt
Introduction

Powerful wireless devices

Wireless technology for direct
communication
- Vehicle-to-vehicle, Wi-Fi direct,
device-to-device

Dynamic scenario: content
prosumers (producers and
consumers)
- Content exchanged anytime and
anywhere, highly mobile users,
intermittent connectivity, physical
obstacles, …
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt
Introduction

Motivation: by looking at the nature and properties
- OppNets → contact opportunities, cope with disruptive networking
scenarios, persistent storage
- ICN → content knowledge, availability, security, and location-
independence, in-network caching
- Both → abstract the need for e2e communication
- Alignment with today's scenario

Goal: bring together the best of both worlds and understand how
much content knowledge can impact the performance of social-
based opportunistic forwarding
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt
Social-aware Forwarding in
Opportunistic Wireless Networks

Different flavors
- Epidemic solutions
- Based on contact history
- Social similarity

Our focus: social-aware family
- Avoid the volatile property of mobility → dynamic scenarios
- Common social groups and communities, node popularity, levels of
centrality, shared interests, and future social interactions

In what concerns content knowledge
- Content-oblivious: completely unaware of content information
» Bubble Rap, CiPRO, and dLife
- Content-oriented: consider different levels of content knowledge
» SocialCast, ContentPlace, and SCORP
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt

Assess the impact of combining content and social awareness to
forward data in opportunistic networks
Parameters Values
Simulator Opportunistic Network Environment (ONE)
Routing Proposals Bubble Rap, dLife and SCORP
Scenarios CRAWDAD Cambridge trace Synthetic mobility
Simulation Time 1036800 sec 345600 sec
# of Nodes 36 150
Mobility models Human Shortest Path Map Based
Generated messages 35, 175, 350, 700, and 1225 200
Node Buffer 2 MB
Node Interface Bluetooth
Message Size 1 – 100 kB
Message TTL Length of experiments
K-Clique, k 5 (Bubble Rap)
K-Clique, familiarThreshold 700 sec (Bubble Rap)
Daily samples 24 (dLife and SCORP)
Experiments
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt

Bubble Rap
- 1msg/int: Comm.-based fwd
- Buffer use: 9.94MB (5msg/int)
→ 50% reduction

dLife
- 1msg/int:
Social weight, importance
→ direct delivery
- Buffer use: 2.17MB (10msg/int) → 43% reduction

SCORP
- 1msg/int: dense network → Interest-based forwarding
- Buffer use: 0.16MB (35msg/int) → stable delivery
Experiments
Impact of network load
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt

1msg/int: comm/direct delivery
→ Low number of replicas

Bubble Rap and dLife
- Cost is expected to increase
as load increases
- Peaks due to message creation
time and contact sporadicity
- High number of contacts → more replications

SCORP
- More interest → better message carrier
- Avg. of 6.39 replicas, across all msg/int configurations, against 452.41
and 96 replicas of Bubble Rap and dLife
Experiments
Impact of network load
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt

1msg/int: few contacts and
long periods (12 to 23 hours) of
almost no contact
→ high latency

As load increases
→ messages created in
different time periods

Bubble Rap and dLife
- Latency in function of delivered messages plus choice of forwarders
→ decrease and variable behavior

SCORP
- More interest → better forwarder → higher probability of coming into
contact with other nodes sharing similar → reducing latency
Experiments
Impact of network load
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt

Bubble Rap
- Del. based on global centrality
- Few nodes plus constrained
buffer and long TTL
→ reduced delivery

dLife
- Nodes move (i.e., interact) less
→ longer time to converge
→ more replicas → buffer exhaustion
- Social awareness is advantageous, but not enough

SCORP
- Social weights with others sharing interests → no impact from mobility

100000-second pause time: few and sporadic interactions (intervals of
20 and 26 hours) → convergence time
Experiments
Impact of node mobility
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt

Bubble Rap and dLife
- As pause time increases,
the # of contacts decreases
→ Better view of the network
in termos of social metrics
→ less replicas

SCORP
- Interest-based replication + socially well-connected nodes
→ very low replication (average of 0.5 replicas)
- Resource use: estimated average occupancy of 0.03MB/node/day

100000-second pause time: cost is in function of delivered messages
- Low deliveries due to contact sporadicity → proposals have a low cost.
Experiments
Impact of node mobility
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt

Bubble Rap, dLife, SCORP
- Less interactions among nodes
→ longer time to converge
→ messages are stored longer
→ increased latency experience

100000-second pause time:
latency peaks are due to contacts happening
in a sporadic fashion with intervals between them of up to 26 hours
Experiments
Impact of node mobility
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt

Definitely, content knowledge (i.e., type and interested parties)
must be taken into account

The content-oriented social-aware opportunistic forwarding scheme
experiences delivery improvements up to 60%, while its latency and
cost can be reduced by 75% and 90% respectively, when compared
to content-oblivious forwarding schemes

Results do show the advantages of building social- and content-
aware forwarding schemes for networking in disruptive scenarios
Content Awareness or Obliviousness:
Which way to go?
Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt
Acknowledgements
To CitySense project from COPELABS and
Fundação de Amparo à Pesquisa do Estado de
Goiás (FAPEG)
Social-aware Forwarding in Opportunistic Wireless Networks: Content Awareness or Obliviousness?

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Social-aware Forwarding in Opportunistic Wireless Networks: Content Awareness or Obliviousness?

  • 1. http://copelabs.ulusofona.pt Human-centered Computing Lab Social-aware Forwarding in Opportunistic Wireless Networks: Content Awareness or Obliviousness? Waldir Moreira and Paulo Mendes waldir.junior@ulusofona.pt June 16th, 2014 8th IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC 2014) Sydney, Australia
  • 2. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt Agenda  Introduction  Social-aware Forwarding in Opportunistic Wireless Networks  Experiments  Content Awareness or Obliviousness: Which way to go?
  • 3. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt Introduction  Information-Centric Networking (ICN): driven by information - Data-Oriented Network Architecture (DONA) - Named Data Networking (NDN) - Network of Information (NetInf)  Opportunistic Networks (OppNets): driven by contact opportunity - Single-copy forwading - Replication-based Aim at improving content dissemination
  • 4. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt Introduction  Powerful wireless devices  Wireless technology for direct communication - Vehicle-to-vehicle, Wi-Fi direct, device-to-device  Dynamic scenario: content prosumers (producers and consumers) - Content exchanged anytime and anywhere, highly mobile users, intermittent connectivity, physical obstacles, …
  • 5. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt Introduction  Motivation: by looking at the nature and properties - OppNets → contact opportunities, cope with disruptive networking scenarios, persistent storage - ICN → content knowledge, availability, security, and location- independence, in-network caching - Both → abstract the need for e2e communication - Alignment with today's scenario  Goal: bring together the best of both worlds and understand how much content knowledge can impact the performance of social- based opportunistic forwarding
  • 6. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt Social-aware Forwarding in Opportunistic Wireless Networks  Different flavors - Epidemic solutions - Based on contact history - Social similarity  Our focus: social-aware family - Avoid the volatile property of mobility → dynamic scenarios - Common social groups and communities, node popularity, levels of centrality, shared interests, and future social interactions  In what concerns content knowledge - Content-oblivious: completely unaware of content information » Bubble Rap, CiPRO, and dLife - Content-oriented: consider different levels of content knowledge » SocialCast, ContentPlace, and SCORP
  • 7. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt  Assess the impact of combining content and social awareness to forward data in opportunistic networks Parameters Values Simulator Opportunistic Network Environment (ONE) Routing Proposals Bubble Rap, dLife and SCORP Scenarios CRAWDAD Cambridge trace Synthetic mobility Simulation Time 1036800 sec 345600 sec # of Nodes 36 150 Mobility models Human Shortest Path Map Based Generated messages 35, 175, 350, 700, and 1225 200 Node Buffer 2 MB Node Interface Bluetooth Message Size 1 – 100 kB Message TTL Length of experiments K-Clique, k 5 (Bubble Rap) K-Clique, familiarThreshold 700 sec (Bubble Rap) Daily samples 24 (dLife and SCORP) Experiments
  • 8. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt  Bubble Rap - 1msg/int: Comm.-based fwd - Buffer use: 9.94MB (5msg/int) → 50% reduction  dLife - 1msg/int: Social weight, importance → direct delivery - Buffer use: 2.17MB (10msg/int) → 43% reduction  SCORP - 1msg/int: dense network → Interest-based forwarding - Buffer use: 0.16MB (35msg/int) → stable delivery Experiments Impact of network load
  • 9. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt  1msg/int: comm/direct delivery → Low number of replicas  Bubble Rap and dLife - Cost is expected to increase as load increases - Peaks due to message creation time and contact sporadicity - High number of contacts → more replications  SCORP - More interest → better message carrier - Avg. of 6.39 replicas, across all msg/int configurations, against 452.41 and 96 replicas of Bubble Rap and dLife Experiments Impact of network load
  • 10. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt  1msg/int: few contacts and long periods (12 to 23 hours) of almost no contact → high latency  As load increases → messages created in different time periods  Bubble Rap and dLife - Latency in function of delivered messages plus choice of forwarders → decrease and variable behavior  SCORP - More interest → better forwarder → higher probability of coming into contact with other nodes sharing similar → reducing latency Experiments Impact of network load
  • 11. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt  Bubble Rap - Del. based on global centrality - Few nodes plus constrained buffer and long TTL → reduced delivery  dLife - Nodes move (i.e., interact) less → longer time to converge → more replicas → buffer exhaustion - Social awareness is advantageous, but not enough  SCORP - Social weights with others sharing interests → no impact from mobility  100000-second pause time: few and sporadic interactions (intervals of 20 and 26 hours) → convergence time Experiments Impact of node mobility
  • 12. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt  Bubble Rap and dLife - As pause time increases, the # of contacts decreases → Better view of the network in termos of social metrics → less replicas  SCORP - Interest-based replication + socially well-connected nodes → very low replication (average of 0.5 replicas) - Resource use: estimated average occupancy of 0.03MB/node/day  100000-second pause time: cost is in function of delivered messages - Low deliveries due to contact sporadicity → proposals have a low cost. Experiments Impact of node mobility
  • 13. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt  Bubble Rap, dLife, SCORP - Less interactions among nodes → longer time to converge → messages are stored longer → increased latency experience  100000-second pause time: latency peaks are due to contacts happening in a sporadic fashion with intervals between them of up to 26 hours Experiments Impact of node mobility
  • 14. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt  Definitely, content knowledge (i.e., type and interested parties) must be taken into account  The content-oriented social-aware opportunistic forwarding scheme experiences delivery improvements up to 60%, while its latency and cost can be reduced by 75% and 90% respectively, when compared to content-oblivious forwarding schemes  Results do show the advantages of building social- and content- aware forwarding schemes for networking in disruptive scenarios Content Awareness or Obliviousness: Which way to go?
  • 15. Waldir Moreira, waldir.junior@ulusofona.pt http://copelabs.ulusofona.pt Acknowledgements To CitySense project from COPELABS and Fundação de Amparo à Pesquisa do Estado de Goiás (FAPEG)