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Communication Theory as Applied to Wireless Sensor Networks

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Presentation on theme: "Communication Theory as Applied to Wireless Sensor Networks"— Presentation transcript:

1 Communication Theory as Applied to Wireless Sensor Networks
muse

2 Objectives Understand the constraints of WSN and how communication theory choices are influenced by them Understand the choice of digital over analog schemes Understand the choice of digital phase modulation methods over frequency or amplitude schemes muse

3 Objectives (cont.) Understand the cost/benefits of implementing source and channel coding for sensor networks Understand fundamental MAC concepts Grasp the importance of node synchronization Synthesize through examples these concepts to understand impact on energy and bandwidth requirements muse

4 Outline Sensor network constraints Digital modulation
Source coding and Channel coding MAC Synchronization Synthesis: Energy and bandwidth requirements

5 WSN Communication Constraints
Energy! Communication constraints

6 Data Collection Costs Sensors Activation Conditioning A/D
Communication constraints

7 Computation Costs Node life support Simple data processing
Censoring and Aggregation Source/Channel coding Communication constraints

8 Communication Costs Communication constraints

9 Putting it all together
Communication constraints

10 Outline Sensor network constraints Digital modulation
Source coding and Channel coding MAC Synchronization Synthesis: Energy and bandwidth requirements

11 Modulation Review Motivation for Digital Modulation

12 The Carrier Modulation

13 Amplitude Modulation (AM)
DSB-SC (double sideband – suppressed carrier) Modulation

14 Frequency representation for DSB-SC (the math)
Modulation

15 Frequency representation for DSB-SC (the cartoon)
Modulation

16 Demodulation – coherent receiver

17 DSB-LC (or AM as we know it)
Modulation

18 Frequency representation of DSB-LC
Modulation

19 Amplitude Modulation Modulation

20 Frequency Modulation (FM)

21 Frequency Modulation Modulation

22 Phase Modulation Modulation

23 SNR Performance Modulation Fig. Lathi

24 Digital Methods Digital Modulation

25 Quadrature Modulation
Digital Modulation

26 BPSK Digital Modulation

27 QPSK Digital Modulation

28 Constellation Plots Digital Modulation

29 BER Performance vs. Modulation Method
Digital Modulation Fig. Lathi

30 BER Performance vs. Number of Symbols
Digital Modulation Fig. Lathi

31 Outline Sensor network constraints Digital modulation
Source coding and Channel coding MAC Synchronization Synthesis: Energy and bandwidth requirements


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