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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 강경란, 조영종 | - |
| dc.contributor.author | Kwon Yongjae | - |
| dc.date.issued | 2016-08 | - |
| dc.identifier.other | 23383 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/13304 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :소프트웨어특성화학과,2016. 8 | - |
| dc.description.tableofcontents | I. Introduction 1 II. Related work 3 A. Clustering-based Approaches 3 B. NC-based Approaches 4 III. proposed algorithm 6 A. System model 6 B. NC zone Clustering 7 C. Outer zone Clustering 7 D. Role Assignment 8 IV. Performance Analysis 11 A. Simulation Properties 11 B. Simulation Results 13 C. QualNet Simulation 17 V. Conclusion 21 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 무선 센서 네트워크에서의 네트워크 코딩을 위한 노드 클러스터링 기법 | - |
| dc.title.alternative | Network Coding Aware Node Clustering Strategy for Wireless Sensor Networks | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | YongJae Kwon | - |
| dc.contributor.department | 일반대학원 소프트웨어특성화학과 | - |
| dc.date.awarded | 2016. 8 | - |
| dc.description.degree | Master | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000023383 | - |
| dc.subject.keyword | clustering | - |
| dc.subject.keyword | energy efficiency | - |
| dc.subject.keyword | network coding | - |
| dc.subject.keyword | wireless sensor network | - |
| dc.subject.keyword | Markov chain Monte Carlo | - |
| dc.description.alternativeAbstract | In wireless sensor networks, a large number of cheap and small sensor nodes send data to a single sink node. To overcome the limitations of computing and energy capacity of sensor nodes, a simple yet energy-efficient routing is required. In this paper, we propose a clustering algorithm that enables sensor nodes to autonomously establish routing paths to a sink node. Our algorithm utilizes network coding to improve energy-efficiency and reliability. We analyze the benefit of using network coding in our algorithm through Markov chain Monte Carlo (MCMC) simulations, and simulation results prove that our algorithm reduces energy consumption and traffic load in wireless sensor networks. | - |
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