Cross-Layer Caching Based Optimization for WirelessMultimedia Sensor Networks  Nestor Tiglao and António Grilo   INESC-ID/...
Outline    Introduction    Related Work    Proposed Mechanisms    Results    Conclusion and future work              ...
Introduction  WSN equipped with multimedia sensors give   birth to WMSN  They enable a new class of monitoring   applica...
Related Work  Pump Slowly Fetch Quickly (PSFQ)    Designed for dynamic code update, no real-time   performance guarantee...
Analytical Model  N. M. C. Tiglao and A. M. Grilo, “An analytical model   for transport layer caching in wireless sensor ...
Basic DTSN             WiMob 2012, Barcelona, Spain   6
DSTN with NACK Repair              WiMob 2012, Barcelona, Spain   7
Adaptive MAC Retry Limit Mechanism  Frame error rate               i , j  pi1,jr                                      ...
Simulation Scenarios  Scenario 1: Local hotspot  Scenario 2: Global hotspot                   WiMob 2012, Barcelona, Spa...
Goodput      Scenario 1                                  Scenario 2                   WiMob 2012, Barcelona, Spain        ...
Goodput Performance Gain  Scenario 1  Scenario 2                WiMob 2012, Barcelona, Spain   11
Packet Delivery – Scenario 1           DTSN-CS0                                  DTSN-CS20          DTSN-CAM              ...
Packet Delivery – Scenario 2           DTSN-CS0                                  DTSN-CS20          DTSN-CAM              ...
Energy Efficiency       Scenario 1                                  Scenario 2                    WiMob 2012, Barcelona, S...
Energy Efficiency Gain  Scenario 1  Scenario 2                WiMob 2012, Barcelona, Spain   15
Deadline Miss Ratio       Scenario 1                                  Scenario 2  Deadline: 500 ms                    WiM...
End-to-end Delay  Scenario 1  Scenario 2                WiMob 2012, Barcelona, Spain   17
Conclusion and Future Work  Ensemble of MAC and transport layer   optimization provides better performance   over non-opt...
Thank you for your attention!          WiMob 2012, Barcelona, Spain   19
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Cross-Layer Caching Based Optimization for Wireless Multimedia Sensor Networks

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Cross-Layer Caching Based Optimization for Wireless Multimedia Sensor Networks

  1. 1. Cross-Layer Caching Based Optimization for WirelessMultimedia Sensor Networks Nestor Tiglao and António Grilo INESC-ID/IST, Lisbon, Portugal
  2. 2. Outline  Introduction  Related Work  Proposed Mechanisms  Results  Conclusion and future work WiMob 2012, Barcelona, Spain 2
  3. 3. Introduction  WSN equipped with multimedia sensors give birth to WMSN  They enable a new class of monitoring applications, but demanding in terms of:  computational resources  energy resources  Need for innovative solutions:  combination/optimization techniques at the different layers of the protocol stack WiMob 2012, Barcelona, Spain 3
  4. 4. Related Work  Pump Slowly Fetch Quickly (PSFQ)  Designed for dynamic code update, no real-time performance guarantees  Distributed TCP Caching (DTC)  Intermediate retransmission based on ACK/SACK semantic  Reliable Multi-Segment Transport (RMST)  Uses timer-based NACK repair  Tunable Reliability with Congestion Control for Information Transport (TRCCIT)  Uses MAC retry limit adaptation but considers end- to-end application reliability WiMob 2012, Barcelona, Spain 4
  5. 5. Analytical Model  N. M. C. Tiglao and A. M. Grilo, “An analytical model for transport layer caching in wireless sensor networks,” Performance Evaluation, vol. 69, no. 5, pp. 227–245, 2012. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0 166531611001568 WiMob 2012, Barcelona, Spain 5
  6. 6. Basic DTSN WiMob 2012, Barcelona, Spain 6
  7. 7. DSTN with NACK Repair WiMob 2012, Barcelona, Spain 7
  8. 8. Adaptive MAC Retry Limit Mechanism  Frame error rate  i , j  pi1,jr   log  i , j  log pi , j      MAC retry limit ri  max 3,       log pi , j   WiMob 2012, Barcelona, Spain 8
  9. 9. Simulation Scenarios  Scenario 1: Local hotspot  Scenario 2: Global hotspot WiMob 2012, Barcelona, Spain 9
  10. 10. Goodput Scenario 1 Scenario 2 WiMob 2012, Barcelona, Spain 10
  11. 11. Goodput Performance Gain  Scenario 1  Scenario 2 WiMob 2012, Barcelona, Spain 11
  12. 12. Packet Delivery – Scenario 1 DTSN-CS0 DTSN-CS20 DTSN-CAM DTSN-CRAM WiMob 2012, Barcelona, Spain 12
  13. 13. Packet Delivery – Scenario 2 DTSN-CS0 DTSN-CS20 DTSN-CAM DTSN-CRAM WiMob 2012, Barcelona, Spain 13
  14. 14. Energy Efficiency Scenario 1 Scenario 2 WiMob 2012, Barcelona, Spain 14
  15. 15. Energy Efficiency Gain  Scenario 1  Scenario 2 WiMob 2012, Barcelona, Spain 15
  16. 16. Deadline Miss Ratio Scenario 1 Scenario 2  Deadline: 500 ms WiMob 2012, Barcelona, Spain 16
  17. 17. End-to-end Delay  Scenario 1  Scenario 2 WiMob 2012, Barcelona, Spain 17
  18. 18. Conclusion and Future Work  Ensemble of MAC and transport layer optimization provides better performance over non-optimized protocols  Mechanisms are simple and generic enough for adoption by other transport protocols  Future work: more complex and dynamic scenarios WiMob 2012, Barcelona, Spain 18
  19. 19. Thank you for your attention! WiMob 2012, Barcelona, Spain 19
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