Performance Evaluation of Clustering Algorithms in Wireless Sensor Networks (WSN). Energy Efficiency of S-Web and LEACH


Master's Thesis, 2013

35 Pages


Excerpt


Contents

Abstract

Acknowledgement

Glossary

CHAPTER 1 INTRODUCTION

CHAPTER 2 LITERATURE SURVEY
2.1 Clustering ad hoc networks
2.2 Advantages of Clustering
2.3 Challenges for Clustering Algorithms
- Limited Energy:
- Constrained resources:
- Secure Communication:
- Cluster formation and CH selection:
- Load balancing:
- Minimal cluster count:
- Synchronization:
- Data Aggregation:
- Fault-tolerance:
- Quality of Service (QoS):
2.4 Clustering Schemes for Sensor Networks
2.4.1 Optimizing Cluster Organization
2.4.2 Averaging Power Consumption
2.4.3 Scheduling Active and Non-Active Nodes
2.5 Clustering Algorithms
2.5.1 Low-Energy Adaptive Clustering Hierarchy (LEACH):
2.5.2 Sensor Web or S-WEB:
2.5.3 Energy Efficient Clustering Scheme (EECS):
2.5.4 Hybrid Energy Efficient Distributed Clustering (HEED):
2.5.5 Energy-efficient unequal clustering (EEUC):
2.5.6 Power-efficient and adaptive clustering hierarchy (PEACH):

CHAPTER 3 Problem Definition and Implementation
3.1 Problem Definition
3.2 Implementation

CHAPTER 4 Results
4.1 First scenario (Normal Node to Normal Node)
4.2 Second scenario (Normal Node to Cluster Head)
4.3 Third scenario (Cluster Head to Normal Node)
4.4 Fourth scenario (Cluster Head to Cluster Head)
4.5 Fifth scenario (Random)

CHAPTER 5 Conclusion and Future Work

References

Excerpt out of 35 pages

Details

Title
Performance Evaluation of Clustering Algorithms in Wireless Sensor Networks (WSN). Energy Efficiency of S-Web and LEACH
Course
Master of Technology
Author
Year
2013
Pages
35
Catalog Number
V293888
ISBN (eBook)
9783656930006
ISBN (Book)
9783656930013
File size
605 KB
Language
English
Keywords
Clustering, Energy Efficiency, SWEB, Wireless Sensor Networks, LEACH, Network Lifetime
Quote paper
Sahil Sholla (Author), 2013, Performance Evaluation of Clustering Algorithms in Wireless Sensor Networks (WSN). Energy Efficiency of S-Web and LEACH, Munich, GRIN Verlag, https://www.grin.com/document/293888

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