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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 2009) Department of Electrical Engineering Division of Physical Sciences and Engineering King Abdullah University of Science and Technology. - PowerPoint PPT Presentation
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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 2009)
Department of Electrical EngineeringDivision of Physical Sciences and Engineering
King Abdullah University of Science and Technology
December 12, 2009
KAUST King Abdullah University of Science and Technology 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
Introduction
WSNs – Wireless Sensor Networks
Characteristics/Features
Reducing the actual sensor nodes in action!!
KAUST King Abdullah University of Science and Technology 5
OUTLINE
Introduction
Related Work
Proposed Design
Setup
Implementation (Algorithm)
Results Analysis
Conclusion
Future Work
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
KAUST King Abdullah University of Science and Technology 7
OUTLINE
Introduction
Related Work
Proposed Design
Setup
Implementation (Algorithm)
Results Analysis
Conclusion
Future Work
Proposed Design - Setup
Proposed Design – Algorithm (Implementation)
Event Source
At the Sensor Nodes
Session of ‘t’ time intervals
Threshold setting process
Status of the nodes
Begin Transmission
Proposed Design – Algorithm (Implementation)
At the BS (receiver’s) end
Session of ‘t’ time intervals
Threshold setting process
Receives data and performs following calculations
Proposed Design – Algorithm (Implementation)
Proposed Design – Algorithm (Implementation)
Proposed Design – Algorithm (Implementation)
Hence, the complete process is repeated for next time interval.
KAUST King Abdullah University of Science and Technology 14
OUTLINE
Introduction
Related Work
Proposed Design
Setup
Implementation (Algorithm)
Results Analysis
Conclusion
Future Work
Results Analysis
Results Analysis
KAUST King Abdullah University of Science and Technology 17
OUTLINE
Introduction
Related Work
Proposed Design
Setup
Implementation (Algorithm)
Results Analysis
Conclusion
Future Work
Conclusion
WSNs can be made more efficient
The proposed design lead to quite successful and positive results
KAUST King Abdullah University of Science and Technology 19
OUTLINE
Introduction
Related Work
Proposed Design
Setup
Implementation (Algorithm)
Results Analysis
Conclusion
Future Work
Future Work
Extend this work to more complex situations and assumptions
Perform practical modeling of the proposed design
Thank you!!
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