Wireless Sensor Networks and Observation satellites . Raveneau 1 E. - - PowerPoint PPT Presentation

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Context Satellite Study WSN Study Conclusion Wireless Sensor Networks and Observation satellites . Raveneau 1 E. Chaput 1 R. Dhaou 1 A-L. Beylot 1 P 1 IRIT Universit de Toulouse Rescom 13 Mai 2014 Raveneau, Chaput, Dhaou, Beylot WSN and

SLIDE 1

Context Satellite Study WSN Study Conclusion

Wireless Sensor Networks and Observation satellites

P . Raveneau1

E. Chaput1
R. Dhaou1

A-L. Beylot1

1IRIT Université de Toulouse

Rescom 13 Mai 2014

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

SLIDE 2

Context Satellite Study WSN Study Conclusion

Outline

1

Context Motivation DTN

2

Satellite Study Carreau

3

WSN Study FREAK BACK

4

Conclusion Perspectives

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion Motivation DTN

French Space Agency (CNES) project Wireless Sensor Networks (WSN)

In-situ, autonomous Large lifetime

Observation Satellites

Large scale Long link disruptions

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion Motivation DTN

Delay/Disruption Tolerant Networking

Interplanetary networking IRTF DTN Resarch Group Overlay protocol RFC 5050 Bundle Protocol Specification, K. Scott and S. Burleigh, IRTF DTN Research Group, November 2007

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

SLIDE 5

Context Satellite Study WSN Study Conclusion Carreau

! ! ! " " " # # # #

Passerelle 1 Passerelle 2 Passerelle 3

Centre de Contrôle

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion FREAK BACK

Frequency Routing, Encounters And Keenness

Mobility is not random Predicting the future from past events Metric : Frequency of encounters with the base station

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion FREAK BACK

0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 1 2 3 4 5 6 Taille mémoire (# Bundles) Taux de délivrance Epidemic FREAK MaxProp Prophet

Figure : Delivery for SF cabs with limited Ack

100 200 300 400 500 600 1 2 3 4 5 6 Taille mémoire (# Bundles) FREAK MaxProp Prophet Délai (s) Epidemic

Figure : Delay for SF cabs with limited Ack

40 60 80 100 120 140 160 180 200 220 240 260 1 2 3 4 5 6 Taille mémoire (# Bundles) Overhead Epidemic FREAK MaxProp Prophet

Figure : Overhead for SF cabs with limited Ack

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion FREAK BACK

Assumptions

Broadcasting ACKs is simple and provides better performance. Exponential Inter-Contacts Time Distribution Infinite / Small memory for Model / Simulations Mobile Nodes and Static Sink

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion FREAK BACK

Sojourn Time

5 10 15 20 25 30 35 2 4 6 8 10 12 14 16 18 Temps (s)

Délais et temps de séjour avec et sans ACKS

délai Epidemic séjour avec ACKs séjour sans ACKs

Nombre de nœuds

délai/séjour DirectD

Figure : Delivery and Sojourn Delays for Epidemic with and without ACKs for λ = 0.1

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion FREAK BACK

Results

0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 200 400 600 800 1000 1200 1400 1600 Taux de délivrance (%) Volume de mémoire allouée aux données (octets) Epidemic FREAK MaxProp Prophet

Figure : Delivery Ratio with 16 Bundles slots in memory

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion

Implementation on a testbed Adaptable to non-deterministic scenarios Other solutions to remove useless Bundles (modifying lifetime with mean delivery delay)

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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Context Satellite Study WSN Study Conclusion

Thank you

Questions ?

Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites