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- 저자 : Kezhong Yang (검색결과 2 건)
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Fault-Tolerant Event Detection in Wireless Sensor Networks using Evidence Theory
( Kezhong Liu ),( Tian Yang ),( Jie Ma ),( Zhiming Cheng ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.10
Event detection is one of the key issues in many wireless sensor network (WSN) applications. The uncertainties that are derived from the instability of sensor node, measurement noise and incomplete sampling would influence the performance of event detection to a large degree. Many of the present researches described the sensor readings with crisp values, which cannot adequately handle the uncertainties inhered in the imprecise sensor readings. In this paper, a fault-tolerant event detection algorithm is proposed based on Dempster-Shafer (D-S) theory (also called evidence theory). Instead of crisp values, all possible states of the event are represented by the Basic Probability Assignment (BPA) functions, with which the output of each sensor node are characterized as weighted evidences. The combination rule was subsequently applied on each sensor node to fuse the evidences gathered from the neighboring nodes to make the final decision on whether the event occurs. Simulation results show that even 20% nodes are faulty, the accuracy of the proposed algorithm is around 80% for event region detection. Moreover, 97% of the error readings have been corrected, and an improved detection capability at the boundary of the event region is gained by 75%. The proposed algorithm can enhance the detection accuracy of the event region even in high error-rate environment, which reflects good reliability and robustness. The proposed algorithm is also applicable to boundary detection as it performs well at the boundary of the event.
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Research on the Internet of Things-based Auxiliary Infant Feeding System
Benzhen Guo,Jingjing Yang,Xiao Zhang,Yu Liu,Shangfu Hao,Kezhong Yang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.12
Nowadays young parents are found deficient in the skills to take care of their infants due to the quick pace of modern life and the heavy working stress. Actually it has become one of the problems that perplex young parents when they have no idea about the amount of milk given to the infants each time, unsure about the temperature of milk, often forgetting to feed the infants on schedule or even making the infants choke on milk during the feeding. In view of this, this paper utilizes the internet of things technology to implement an intelligent infant feeding system, which can provide real-time monitoring on the temperature of nursing bottle, checking if the bottle has tilted or seriously tilted in addition to memorizing the feeding times. The measured information and data will be uploaded to the background server after the access to the household internet of things gateway via zigbee. Then the parents can configure the working state of the nursing bottle and receive the warning message on their smart phones. With the design of the hardware, the structure and the software system of the intelligent nursing bottle, this paper takes the intelligent nursing bottle as a node device for the connection to the household internet of things and conducts the experimental verification. The verification result proves that this technology is feasible and able to guarantee a stable operation.
ScienceON
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