signal strength based communication in wireless sensor networks (sensor network estimation) imran s....

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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 December 12, 2009

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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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