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Signal Strength based Communication in Wireless Sensor Networks (Sensor Network Estimation) Imran S. Ansari EE 242 Digital Communications and Coding (Fall.

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Presentation on theme: "Signal Strength based Communication in Wireless Sensor Networks (Sensor Network Estimation) Imran S. Ansari EE 242 Digital Communications and Coding (Fall."— Presentation transcript:

1 Signal Strength based Communication in Wireless Sensor Networks (Sensor Network Estimation) Imran S. Ansari EE 242 Digital Communications and Coding (Fall 2009) Department of Electrical Engineering Division of Physical Sciences and Engineering King Abdullah University of Science and Technology December 12, 2009

2 KAUST King Abdullah University of Science and Technology2 OUTLINE Introduction Related Work Proposed Design Setup Implementation (Algorithm) Results Analysis Conclusion Future Work

3 KAUST King Abdullah University of Science and Technology3 OUTLINE Introduction Related Work Proposed Design Setup Implementation (Algorithm) Results Analysis Conclusion Future Work

4 Introduction WSNs – Wireless Sensor Networks Characteristics/Features Reducing the actual sensor nodes in action!!

5 KAUST King Abdullah University of Science and Technology5 OUTLINE Introduction Related Work Proposed Design Setup Implementation (Algorithm) Results Analysis Conclusion Future Work

6 Related Work Nodes compress data and encode their observations before transmission MSE (Mean Square Error) is one of the prime criterion for the performance analysis of WSNs. Coherent vs. Orthogonal Power and BW constraints MAC is coherent Gaussian Waveforms Nodes requirement threshold

7 KAUST King Abdullah University of Science and Technology7 OUTLINE Introduction Related Work Proposed Design Setup Implementation (Algorithm) Results Analysis Conclusion Future Work

8 Proposed Design - Setup

9 Proposed Design – Algorithm (Implementation) Event Source At the Sensor Nodes Session of ‘t’ time intervals Threshold setting process Status of the nodes Begin Transmission

10 Proposed Design – Algorithm (Implementation) At the BS (receiver’s) end Session of ‘t’ time intervals Threshold setting process Receives data and performs following calculations

11 Proposed Design – Algorithm (Implementation)

12

13 Hence, the complete process is repeated for next time interval.

14 KAUST King Abdullah University of Science and Technology14 OUTLINE Introduction Related Work Proposed Design Setup Implementation (Algorithm) Results Analysis Conclusion Future Work

15 Results Analysis

16

17 KAUST King Abdullah University of Science and Technology17 OUTLINE Introduction Related Work Proposed Design Setup Implementation (Algorithm) Results Analysis Conclusion Future Work

18 Conclusion WSNs can be made more efficient The proposed design lead to quite successful and positive results

19 KAUST King Abdullah University of Science and Technology19 OUTLINE Introduction Related Work Proposed Design Setup Implementation (Algorithm) Results Analysis Conclusion Future Work

20 Extend this work to more complex situations and assumptions Perform practical modeling of the proposed design

21 Thank you!! Queries??

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