An Energy-Efficient Tracking Methodology for Continuous Objects in WSNs
- 주제(키워드) continuous object tracking , data aggregation , wireless sensor network
- 발행기관 고려대학교 대학원
- 지도교수 박명순
- 발행년도 2017
- 학위수여년월 2017. 2
- 학위구분 박사
- 학과 대학원 컴퓨터·전파통신공학과
- 세부전공 컴퓨터학전공
- 원문페이지 88 p
- 실제URI http://www.dcollection.net/handler/korea/000000072070
- 본문언어 영어
- 제출원본 000045897602
초록/요약
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.
more목차
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
