Wireless Sensor Network Testbed for Real-Time Sensor Monitoring

Hong, Sang Gi; Moon, Young Bag; Park, Sang Joon; Kim, Whan-Woo

doi:10.1109/sensorcomm.2009.81

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…To create a statistical model with false and target alarms, we first gather real PIR signals in an outdoor sensor field and analyze the sensor data. We separately execute data acquisition experiments for the false alarms and target detection data using the system in [16].…”

Section: Data Acquisition and Modelingmentioning

confidence: 99%

Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

Hong¹,

Kim²,

Kim³

2013

ETRI J

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A passive infrared or pyroelectric infrared (PIR) sensor is mainly used to sense the existence of moving objects in an indoor environment. However, in an outdoor environment, there are often outbreaks of false alarms from environmental changes and other sources. Therefore, it is difficult to provide reliable detection outdoors. In this paper, two algorithms are proposed to reduce false alarms and provide trustworthy quality to surveillance systems. We gather PIR signals outdoors, analyze the collected data, and extract the target features defined as window energy and alarm duration. Using these features, we model target and false alarms, from which we propose two target decision algorithms: window energy detection and alarm duration detection. Simulation results using real PIR signals show the performance of the proposed algorithms.

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Section: Data Acquisition and Modelingmentioning

confidence: 99%

Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

Hong¹,

Kim²,

Kim³

2013

ETRI J

Self Cite

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show abstract

“…However, in the actual application process, a single sensor cannot meet the needs of multifunctional sensing in complex environments, so it is necessary to further integrate the sensor network, to achieve a full range of intelligent monitoring and sensing. [57][58][59][60] However, the current sensor network may require hundreds of or even more sensors with different functions to cooperate with each other when realizing various functions, which puts forward new requirements for the stable work of each sensor and the continuous energy supply. [61][62][63][64][65][66] Flow is an important measurement parameter in the process of industrial production.…”

Section: Introductionmentioning

confidence: 99%

Advances in Triboelectric Flow Sensor

Zou,

Wang,

et al. 2023

Adv Materials Technologies

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With the rapid development of advanced materials and manufacturing technologies, flow sensors have made significant progress in the field of mechanical engineering, which could cater to the development trend of the Internet of Things (IoT) and the ongoing Fourth Industrial Revolution. However, traditional power supply modes such as lithium batteries require regular recharging or replacement, which greatly causes too much inconvenience and maintenance consumption, and may also pose potential risks to the marine environment. The triboelectric nanogenerators (TENGs), based on the coupling effect of contact electrification and electrostatic induction, have been demonstrated to convert mechanical movements of the fluid into electrical signals with various features such as flexibility, conformability, and user‐friendliness. This review systematically summarizes for the first time the fundamental working mechanism, rational structural design, and analysis of practical application scenarios of triboelectric flow sensor as an emerging technology for flow monitoring of the Industrial IoT. According to the different fluid objects monitored, the latest representative achievements of triboelectric flow sensors can be divided into gas flow sensors, liquid flow sensors, and two‐phase flow sensors. Finally, the current challenges and future development directions of triboelectric flow sensors are examined, which can promote the further development of the field of the flow sensors.

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“…However, in different circumstances, these measures may not be the same. In Yan et al [2], it was found that opportunistic collaboration has better performance than direct transmission while Sang et al [3] developed a sensor network “testbed.” A good literature review of sensor networks can be found in Yick et al [4]. Network based sensing has become an important field of research and new developments in remote sensing are expected.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Collaborative Sensor Network for Semiconductor Manufacturing Cycle Time Forecasting

Lin

Chen

Wang

2013

International Journal of Distributed Sensor Networks

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Network based sensing has become an important field of research, and it is expected that new applications of remote sensing will be developed. A fuzzy collaborative sensor network is developed in this study to predict the cycle time of a job in a semiconductor manufacturing factory, which is an important task for the factory. In the fuzzy collaborative sensor network, each sensor detects the status of a particular job as well as various environmental conditions present in the factory and uses a fuzzy neural network to analyze the received information. Each sensor communicates its settings and forecasting results to other sensors with the aid of a central control unit. According to the experimental results, the aggregate forecasting performance was considerably improved through the sensors' collaboration.

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Wireless Sensor Network Testbed for Real-Time Sensor Monitoring

Cited by 10 publications

References 9 publications

Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

Advances in Triboelectric Flow Sensor

A Fuzzy Collaborative Sensor Network for Semiconductor Manufacturing Cycle Time Forecasting

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