PUKYONG

무선 센서 네트워크에서 네트워크 수명 연장을 위한 에너지 효율적인 클러스터링 알고리즘

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Alternative Title
Energy Efficient Clustering Algorithm for Prolonging Network Lifetime in Wireless Sensor Networks
Abstract
In oder to operate sensor networks effectively, it is very important to use the energy in the individual nodes efficiently and so increase their lifetime. Currently, cluster-based routing protocol algorithms which is widely applied in sensor network make it possible to improve energy efficiency of sensor network as much as possible by minimizing data transfer between cluster head and cluster nodes. For example, cluster-based routing algorithms such as LEACH and HEED obtain the efficiency of energy using data transfer between cluster heads and its members. In this thesis, we analyze the typical cluster-based routing algorithms and suggest a new energy efficient method of electing the cluster heads with the maximum delay of dead nodes occurrence. Also the new algorithm was combined with K-means clustering. The efficiency of the proposed algorithm is verified through MATLAB simulation.
Author(s)
김태형
Issued Date
2011
Awarded Date
2011. 2
Type
Dissertation
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/9689
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001963946
Affiliation
부경대학교 일반대학원
Department
대학원 전자공학과
Advisor
이원창
Table Of Contents
Ⅰ.서론 1
Ⅱ.무선 센서 네트워크 3
1. 센서 네트워크 개요 3
2. 센서 네트워크 설계를 위한 주요 요소 4
3. 센서 네트워크와 기존 Ad-hoc 네트워크의 비교 8
Ⅲ.클러스터링 10
1. 클러스터링 개요 10
2. 클러스터링 분류 10
3. 센서네트워크에서 클러스터링 기술 특성 12
4. K-Means 클러스터링. 15
Ⅳ.관련 연구 18
1. LEACH(Low-Energy Adaptive Clustering Hierarchy) 18
2. HEED(A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad-hoc Sensor Network) 22
Ⅴ.무선 센서 네트워크에서 에너지 효율적인 클러스터 헤드 선출 알고리즘 24
1. 제안하는 알고리즘 24
2. 시뮬레이션 모델 25
3. K-means 알고리즘을 이용한 클러스터링 27
4. 초기 에너지가 모두 동일한 경우 28
5. 초기 에너지가 다른 경우 31
Ⅵ.결론 및 향후 과제 35
Ⅶ.참고 문헌 36
감사의글 39
Degree
Master
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대학원 > 전자공학과
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