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(An) energy-efficient tracking methodology for continuous objects in WSNs

(An) energy-efficient tracking methodology for continuous objects in WSNs

Material type
학위논문
Personal Author
이현정 李炫姃
Title Statement
(An) energy-efficient tracking methodology for continuous objects in WSNs / Hyunjung Lee
Publication, Distribution, etc
Seoul :   Graduate School, Korea University,   2017  
Physical Medium
xi, 74장 : 삽화, 도표 ; 26 cm
기타형태 저록
An Energy-Efficient Tracking Methodology for Continuous Objects in WSNs   (DCOLL211009)000000072070  
학위논문주기
학위논문(박사)-- 고려대학교 대학원: 컴퓨터·전파통신공학과, 2017. 2
학과코드
0510   6YD36   320  
General Note
지도교수: 朴明淳  
Bibliography, Etc. Note
참고문헌: 70-74
이용가능한 다른형태자료
PDF 파일로도 이용가능;   Requires PDF file reader(application/pdf)  
비통제주제어
continuous object tracking , data aggregation , wireless sensor network,,
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001 000045897602
005 20170329140509
007 ta
008 161229s2017 ulkad bmAC 000c eng
040 ▼a 211009 ▼c 211009 ▼d 211009
085 0 ▼a 0510 ▼2 KDCP
090 ▼a 0510 ▼b 6YD36 ▼c 320
100 1 ▼a 이현정 ▼g 李炫姃
245 1 1 ▼a (An) energy-efficient tracking methodology for continuous objects in WSNs / ▼d Hyunjung Lee
260 ▼a Seoul : ▼b Graduate School, Korea University, ▼c 2017
300 ▼a xi, 74장 : ▼b 삽화, 도표 ; ▼c 26 cm
500 ▼a 지도교수: 朴明淳
502 1 ▼a 학위논문(박사)-- ▼b 고려대학교 대학원: ▼c 컴퓨터·전파통신공학과, ▼d 2017. 2
504 ▼a 참고문헌: 70-74
530 ▼a PDF 파일로도 이용가능; ▼c Requires PDF file reader(application/pdf)
653 ▼a continuous object tracking ▼a data aggregation ▼a wireless sensor network
776 0 ▼t An Energy-Efficient Tracking Methodology for Continuous Objects in WSNs ▼w (DCOLL211009)000000072070
900 1 0 ▼a Lee, Hyun-jung, ▼e
900 1 0 ▼a 박명순 ▼g 朴明淳, ▼e 지도교수
945 ▼a KLPA

Electronic Information

No. Title Service
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(An) energy-efficient tracking methodology for continuous objects in WSNs (27회 열람)
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Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Stacks(Thesis)/ Call Number 0510 6YD36 320 Accession No. 123055715 Availability Available Due Date Make a Reservation Service B M

Contents information

Abstract

Because the non-rechargeable small sensors distributed in dynamic areas affects the lifetime of wireless sensor networks, the research has been actively done to increase energy efficiency by reducing the power consumption of the sensors.
One important challenge in this research area is to track continuous object efficiently. Efficient and accurate detection and tracking of continuous objects such as fire and hazardous biochemical material diffusion requires extensive communications between nodes in wireless sensor networks.
To improve energy efficiency, previous approaches are to reduce the number of message transfer to the sink node by selecting some nodes among the boundary nodes of continuous objects without consideration of duplicated messages
In this paper, we propose a Data Aggregation method to reduce the number of report messages and apply piecewise Quadratic Polynomial Interpolation algorithm to find the boundary points precisely.
Simulation results show that the proposed scheme significantly reduces the number of report messages to the sink node and also improves boundary accuracy.

Table of Contents

CONTENTS

CHAPTER 1. INTRODUCTION	1
   1.1	BACKGROUND	                1
   1.2 OUTLINE	                        5

CHAPTER 2. RELATED WORKS	6

CHAPTER 3. ENERGY-EFFICIENT TRACKING MTHODOLOGY	                       14
  3.1 PRELIMINARIES	               14
  3.1.1 Assumptions	               14
   3.1.2. Definitions	               15
   3.1.3. BN Accuracy	               18
3.2 PROPOSED ENERGY-EFFICIENT TRACKING METHODOLOGY	                       20
  3.2.1. Step 1 : Reportback message to SINK node	  22
    3.2.1.1. How the messages are sent from RNs to the SINK node	                                      23
    3.2.2. Step 2 : Interpolation at SINK node	         28

CHAPTER 4. RERFORMANCE EVALUATION	         35
  4.1. SIMULATION MODEL	                                 37
  4.2 PERFORMANCE ANALYSIS ON THE NUMBER OF MESSAGES	                                                 40
  4.3.  PERFORMANCE ANALYSIS ON BN ACCURACY	47
    4.3.1. BN Accuracies depending on Sensing range	48
   4.3.2. BN Accuracies depending on Diffusion rate	52
   4.3.3. BN Accuracies depending on Selection ratio	60

CHAPTER 5. CONCLUSION AND FUTURE WORK	         69

REFERENCE	                                                          70



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