Energy efficiency is the primary goal of wireless sensor network. An energy conversion model in wireless sensor network node’s different state is established by an analysis of energy consumption of wireless sensor network, node composition and working state, considering the wireless sensor network node’s working condition and the other nodes’ data acquisition, transmission and other factors within the wireless sensor network. Optimized Kalman filtering is used for estimating the event information to be transmitted. We can obtain the more accurate distance between the nodes by using the maximum likelihood estimation. Also we can derive the time value of uncertain events occurring in the wireless sensor network by using fuzzy predictor according to the distance between nodes and the amount of information to be transmitted. Then the wireless sensor nodes state transition can be controlled intelligently through combining its occurrence with the time value of deterministic event nodes and the input signal of the nodes. Simulation and experimental results show that energy-saving effect is very obvious by this state conversion strategy of energy saving for a large data quantity and data frequent acquisition.
목차
Abstract 1. Introduction 2. Analysis of Energy Consumption of Wireless Sensor Nodes 3. Analysis of Working Mode and Overall State of Wireless Sensor Nodes 3.1. The Working Mode of RF Communication Module 3.2. The Working Mode of Microprocessor Module 3.3. The Working Mode of Sensor Module 3.4. The Working Mode of Memory Module 3.5. The Overall Working State of Node 4. Analysis of Switching Time of Node Working State 5. Analysis of Distance between Nodes Based on Maximum Likelihood Estimation 6. Event Information amount Estimation Based on Kalman Filtering 7. Input Signals and State Transition of Wireless Sensor Network Node 8. Input Signals and State Transition of Wireless Sensor Network Node 8.1. Node Input Signal 8.2. Node State Transition 9. Summarization References
키워드
energy efficiencywireless sensor networknode state transitiontime of events occurrence
저자
Huaping. Zhou [ Faculty of Computer Science & Engineering Anhui University of Science and Technology, HuaiNan, China ]
Shaojuan Wang [ Faculty of Computer Science & Engineering Anhui University of Science and Technology, HuaiNan, China ]
Jingzhao Li [ Faculty of Computer Science & Engineering Anhui University of Science and Technology, HuaiNan, China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.8 No.11