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

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 Université de Toulouse Rescom 13 Mai 2014 Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

Context Satellite Study WSN Study Conclusion Outline Context 1 Motivation DTN Satellite Study 2 Carreau WSN Study 3 FREAK BACK Conclusion 4 Perspectives Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

Context Satellite Study Motivation WSN Study DTN Conclusion 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

Context Satellite Study Motivation WSN Study DTN Conclusion 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

Context Satellite Study Carreau WSN Study Conclusion # # " " ! ! " ! # # Centre de Contrôle Passerelle 3 Passerelle 2 Passerelle 1 Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

Context Satellite Study FREAK WSN Study BACK Conclusion 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

Context Satellite Study FREAK WSN Study BACK Conclusion Epidemic Epidemic FREAK FREAK MaxProp MaxProp Prophet Prophet 0.45 260 240 0.4 Taux de délivrance 220 0.35 200 Overhead 600 180 0.3 Epidemic 160 FREAK 500 140 0.25 MaxProp Prophet 120 400 Délai (s) 0.2 100 300 80 0.15 60 200 0.1 40 1 2 3 4 5 6 1 2 3 4 5 6 100 Taille mémoire (# Bundles) Taille mémoire (# Bundles) 0 1 2 3 4 5 6 Taille mémoire (# Bundles) Figure : Delivery for Figure : Overhead for SF cabs with limited Figure : Delay for SF SF cabs with limited Ack cabs with limited Ack Ack Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

Context Satellite Study FREAK WSN Study BACK Conclusion 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

Context Satellite Study FREAK WSN Study BACK Conclusion Sojourn Time Délais et temps de séjour avec et sans ACKS 35 délai Epidemic séjour avec ACKs séjour sans ACKs 30 délai/séjour DirectD 25 Temps (s) 20 15 10 5 0 2 4 6 8 10 12 14 16 18 Nombre de nœuds Figure : Delivery and Sojourn Delays for Epidemic with and without ACKs for λ = 0 . 1 Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

Context Satellite Study FREAK WSN Study BACK Conclusion Results 1 Epidemic FREAK MaxProp 0.9 Prophet 0.8 Taux de délivrance (%) 0.7 0.6 0.5 0.4 0.3 200 400 600 800 1000 1200 1400 1600 Volume de mémoire allouée aux données (octets) Figure : Delivery Ratio with 16 Bundles slots in memory Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites

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

Context Satellite Study WSN Study Conclusion Thank you Questions ? Raveneau, Chaput, Dhaou, Beylot WSN and Observation Satellites