scholarly journals Hierarchical regulation of sensor data transmission for networked telerobots

2014 ◽  
Author(s):  
Angfel Martinez-Tenor ◽  
Ana Gago-Benitez ◽  
Juan-Antonio Fernandez-Madrigal ◽  
Ana Cruz-Martin ◽  
Rafael Asenjo ◽  
...  
Keyword(s):  
Data Transmission ◽  
Sensor Data

scholarly journals Pseudo-Random Encryption for Security Data Transmission in Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2452 ◽  
Author(s):  
Liang Liu ◽  
Wen Chen ◽  
Tao Li ◽  
Yuling Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Fusion ◽  
Data Transmission ◽  
Multiple Scales ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Fusion Center ◽  
Inverse Mapping ◽  
The Matrix

The security of wireless sensor networks (WSN) has become a great challenge due to the transmission of sensor data through an open and wireless network with limited resources. In the paper, we discussed a lightweight security scheme to protect the confidentiality of data transmission between sensors and an ally fusion center (AFC) over insecure links. For the typical security problem of WSN’s binary hypothesis testing of a target’s state, sensors were divided into flipping and non-flipping groups according to the outputs of a pseudo-random function which was held by sensors and the AFC. Then in order to prevent an enemy fusion center (EFC) from eavesdropping, the binary outputs from the flipping group were intentionally flipped to hinder the EFC’s data fusion. Accordingly, the AFC performed inverse flipping to recover the flipped data before data fusion. We extended the scheme to a more common scenario with multiple scales of sensor quantification and candidate states. The underlying idea was that the sensor measurements were randomly mapped to other quantification scales using a mapping matrix, which ensured that as long as the EFC was not aware of the matrix, it could not distract any useful information from the captured data, while the AFC could appropriately perform data fusion based on the inverse mapping of the sensor outputs.

Investigation of the Effect of Moving Forklift on Data Transmission of IEEE 802.15.4 Wireless Sensor Radio

2012 ◽  
Vol 134 (4) ◽  
Author(s):  
Lei Tang ◽  
Fan Yang ◽  
Daxing Zhang ◽  
Kuang-Ching Wang ◽  
Yong Huang
Keyword(s):  
Data Transmission ◽  
Manufacturing Systems ◽  
Moving Objects ◽  
Ieee 802.15.4 ◽  
Path Loss ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Packet Error Rate ◽  
Transmission Performance ◽  
Essential Components

Low-cost wireless sensors embedded in machines and plant floors are essential components for intelligent monitoring and automation in automated manufacturing systems. To enable robust and confident industrial adoption of wireless sensor systems, their data transmission performance must be guaranteed before deployment. Moving objects such as forklifts in common manufacturing settings are known to cause errors and losses in wireless sensor data transmission. As an essential step toward building wireless sensor-based manufacturing plant floor monitoring systems, this study has conducted systematic data transmission performance measurements with IEEE 802.15.4 sensors in the presence of a moving forklift. It is found that for a typical moving forklift, its path loss profile can be predicted based on its stationary path loss profile. Specifically, the path loss for a moving forklift can be adequately modeled using a two-state time-dependent model with both deterministic and random contributions. Such a two-state path loss model can be applied to adequately estimate the packet error rate in the presence of moving objects.

Study of Grating Signal Processing Based on FPGA

2012 ◽  
Vol 490-495 ◽  
pp. 1807-1810 ◽  
Author(s):  
Yi Feng Zhu ◽  
Xu Yang ◽  
Lei Shi ◽  
Yan Fu Li
Keyword(s):  
Data Collection ◽  
Circuit Design ◽  
Data Transmission ◽  
Detection System ◽  
Sensor Data ◽  
Collection System ◽  
Data Collection System ◽  
And Control ◽  
Hardware Circuit ◽  
Measurement And Control

With the development of modern measurement and control technology,the grating sensor is widely used in the measurement of displacement and angle in precise meterage domain. Limited by the grating scratching technology,the way to improve the measurement precision of grating sensor is using electronic technique to subdivision the grating signal. This paper mainly research on raster displacement detection system based on FPGA. As the usual raster sensor data collection system has many problem,A new raster sensor data collection system was found based on FPGA &USB. In this system,FPGA was used as main controller , and the USB was used for data transmission. A whole system hardware circuit design was given in this paper, including the FPGA processing of the raster sensor signal, and the USB circuit design

scholarly journals Adaptive Framework Combining Sensors and IoT for Data Monitoring in Restricted Areas

2019 ◽  
Vol 8 (11) ◽  
pp. 564-567 ◽  
Keyword(s):  
Energy Efficiency ◽  
Data Transmission ◽  
Energy Efficient ◽  
Data Transfer ◽  
Sensor Data ◽  
Data Monitoring ◽  
Security Measures ◽  
Improve Energy Efficiency ◽  
Location Data ◽  
Adaptive Framework

The deployment of Internet-of-Things (IoT) enables an even richer variety of sensors at a much larger scale. Where offloading both the evaluation and the polling of IoT sensor data to the cloud would improve energy efficiency and data transfer costs for the mobile. We build an energy efficient framework for Combining Sensors and IoT to help developers easily builds applications that evaluate sensor data on the server via data transmission. We built a advanced framework to compress data i.e Novel Data Compression Approach that helps the user to know the regular movement of particular person with the sensor within the limited premises and the location surveillance of the host will be saving the location data with some security measures We also implement our protocol and compare it with the certificate-based scheme to illustrate its feasibility.

scholarly journals Sistem Pemantauan Dapur Menggunakan Teknologi Hybrid WiFi - Visible Light Communication

2021 ◽  
Vol 13 (1) ◽  
pp. 39-43
Author(s):  
Denny Darlis ◽  
Aris Hartaman ◽  
Afifah Shafira
Keyword(s):  
Visible Light ◽  
Gas Sensors ◽  
Data Transmission ◽  
Fire Detection ◽  
Visible Light Communication ◽  
Sensor Data ◽  
Test Results ◽  
Final Project ◽  
Parameter Values ◽  
Monitor Data

Visible Light Communication (VLC) is a technology that allows the sending of data information through visible light that will be received as a piece of information. In its implementation, a sensor can send information data using VLC in this technological era. One model of data transmission that is widely used in life is to use radio frequency or better known as wireless.In this final project, a transmitter and receiver of data is realized through the transmission of light, this device consists of a lamp as an electrical converter to light, a photodioda as a converter of light to electric, and receiving data. Through the realization of this tool we can know that the transmission of data through light can occur can be used to transmit data. Data transmitted in this final project is the result of three sensor data namely temperature sensors, gas sensors, and fire detection sensors on the transmitter and on the receiver used firebase to monitor data. From the test results produce parameter values such as distance with a maximum distance of the data is accepted either 45cm, 50cm of data is damaged and 55cm of data is not accepted, the variations in angles and distances show that at a distance of 10cm it can receive data well from an angle of 0ᵒ to an angle of 35ᵒ, a distance of 35cm and 40 cm at an angle of 10ᵒ the received data is damaged and at a distance of 45cm and 50cm at a 5ᵒ angle cannot receive data and as well as the sending speed parameters obtained at a baudrate of 2400 bps, 4800 bps and 9600 bps the data sent can be received well.

scholarly journals Remote Parkinson's disease monitoring system: from smartphone to cloud platform

2019 ◽  
pp. 21-25
Author(s):  
О.В. Бережний ◽  
T.O. Білобородова ◽  
І.С. Скарга-Бандурова
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Monitoring System ◽  
Data Transmission ◽  
Cloud Storage ◽  
Smartphone Application ◽  
Sensor Data ◽  
Common Symptom ◽  
Cloud Platform ◽  
Smartphone Sensors

Parkinson's disease (PD) is a slowly progressive disorder that affects movement, muscle control, and balance. The earlier treatment can prevent the disease from developing and to prolongate the diseases prodromal phase. In this context, home monitoring services are potentially powerful tools for remote diagnosis and can improve healthcare services. Tremor is the most common symptom of a PD disorder and it has several advantages for continuous PD symptoms monitoring. The developing of solution based on smartphone sensors that allow remote monitoring of the monitored user is present. The connection between the smartphone application and cloud platform for smartphone sensors data transmission for early tremor symptoms detection is developed. It includesdeveloping of configuration of smartphone application for sensor data transmission and developing of configuration of a cloud platform for tremor symptoms monitoring. The active tests were developed to capture a motor disorder, that indicates PD symptom such as tremor.  Initial trials of the developing demonstrated that the monitoring system has the ability to real-time data acquisition and transmission using smartphone sensors and cloud storage. The connection settings developed for the system proved to be efficient when sensor data transmitted from the smartphone to cloud storage. The period of time required to transfer data to the cloud equal to the period of time less than one second.

scholarly journals Event-triggered sensor data transmission policy for receding horizon recursive state estimation

2016 ◽  
Vol 11 (2) ◽  
pp. 178-185 ◽  
Author(s):  
Yunji Li ◽  
Li Peng
Keyword(s):  
State Estimation ◽  
Data Transmission ◽  
System Performance ◽  
Estimation Error ◽  
Sensor Data ◽  
Receding Horizon ◽  
Transmission Strategy ◽  
System A ◽  
Recursive State Estimation ◽  
Theoretical Results

We consider a sensor data transmission policy for receding horizon recursive state estimation in a networked linear system. A good tradeoff between estimation error and communication rate could be achieved according to a transmission strategy, which decides the transfer time of the data packet. Here we give this transmission policy through proving the upper bound of system performance. Moreover, the lower bound of system performance is further analyzed in detail. A numerical example is given to verify the potential and effectiveness of the theoretical results.

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