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Hierarchical Power Management in DTN with Traffic-Aware Optimization Hyewon Jun, etc ACM SIGCOMM, 2006.

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Presentation on theme: "Hierarchical Power Management in DTN with Traffic-Aware Optimization Hyewon Jun, etc ACM SIGCOMM, 2006."— Presentation transcript:

1 Hierarchical Power Management in DTN with Traffic-Aware Optimization Hyewon Jun, etc ACM SIGCOMM, 2006

2 Start Point … Contacts discovered by two radios

3 Start Point…

4 Question Left In DTN, if rely only on the low power radio to discover contacts…? What if not?

5 This paper is targeting … Hierarchical power management scheme Traffic-aware Optimization

6 DTN Radio Discovery Power management modes  Search: wake up periodically to discover a contact (wake-up interval)  Contact: stay awake to exchange messages  Dormant: remain asleep

7 Continuous Aware Mechanism (CAM) High power radio always stays awake to search for other nodes

8 Power Saving Mechanism(PSM)

9 Short-range-radio-dependent Power Saving Mechanism (SPSM)

10 Generalized Power Saving Mechanism (GPSM)

11 Power Management Schemes

12 Traffic-Aware Wake-up Interval Estimation Problem Statement  For each node, find the wake-up intervals that leads to discovering enough contacts to deliver the traffic load while minimizing energy consumption. Problem Formulation  Statistical contacts information  Traffic load ……

13 Wake-Up Interval Estimation for PSM

14 Wake-Up Interval Estimation for SPSM

15 Wake-Up Interval Estimation for GPSM First, estimate the expected bandwidth on the link (i; j) for each pair of wake-up intervals(wh;wl) in a given set of discrete wake-up interval pairs: Secondly, find a set S ij of wake-up interval pairs that provide enough bandwidth to consume the expected traffic load on the link (i; j) ; Third, we find the pair of wake-up intervals (wh ij ; wl ij ) in S ij that will consume the least amount of energy; Finally, choose the minimum wake-up intervals wh i and wl i among wh ij and wl ij, respectively.

16 Performance Evaluation Main Goal  Analytical model accurately predicts contact discovery  Wake-up mechanisms save significant energy

17 Performance Evaluation Simulation Setup  RWP  MF 12 stationary nodes (grid) and 8 mobile nodes (ferries) Ferries visit each node in order and repeat the route Metrics  Normalized energy consumption  Delivery ratio  Contact discovery ratio

18 Contact Discovery

19 Traffic-Aware Power Management

20

21 From the simulation… Traffic-aware optimization save considerable energy. Performance depends on mobility model: PSM vs SPSM. PSM with traffic-aware optimization achieves similar performance to GPSM, which indicates …

22 Summary Present a hierarchical power management in DTNs Traffic-aware optimization


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