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December 12, 2009

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.

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December 12, 2009

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

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

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

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

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

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

  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. Proposed Design – Algorithm (Implementation)

  13. Proposed Design – Algorithm (Implementation) Hence, the complete process is repeated for next time interval.

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

  15. Results Analysis

  16. Results Analysis

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

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

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

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

  21. Thank you!!Queries??

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