scholarly journals VRML Database Access for 3D Real-time Data Visualization in MiWiTMThermal Wireless Sensor Network

2012 ◽  
Vol 49 (12) ◽  
pp. 164-170
Author(s):  
Xue-Fen Wan ◽  
Yi Yang ◽  
Jian Cui ◽  
Tao Zheng ◽  
Li Ma
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Data Visualization ◽  
Wireless Sensor ◽  
Time Data ◽  
Database Access ◽  
Real Time Data

Evaluating Authentication Schemes for Real-Time Data in Wireless Sensor Network

2020 ◽  
Vol 114 (1) ◽  
pp. 629-655
Author(s):  
Deepti Singh ◽  
Bijendra Kumar ◽  
Samayveer Singh ◽  
Satish Chand
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Time Data ◽  
Real Time Data ◽  
Authentication Schemes

scholarly journals An Efficient Mobile Sink based Data Collection Model for Clustered based Wireless Sensor Network

2021 ◽  
Vol 58 (1) ◽  
pp. 1836-1843
Author(s):  
Naveen Ghorpade, Dr. P. Vijaykarthik
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Real Time ◽  
Sensor Network ◽  
Data Communication ◽  
Data Access ◽  
Wireless Sensor ◽  
Low Latency ◽  
Time Data ◽  
Real Time Data

The Wireless Sensor Network (WSN) is considered to be a core component of tomorrow's real-time data communication networks, such as the Internet of Things (IoT). Modern networks need low-latency and high-throughputs in real-time due to a heterogeneous network. The availability of low-latency real-time data access incurs energy costs from the sensor systems. Clustering helped in maintaining the scalability and energy usage of sensors. However, it incurs overhead of the independent cluster head and sensor device within the close range of the sump pump. Since it would take longer transmission and recovery time. This Mine Research Paper introduces an Accessible Mobile Sensor Dependent Data Collection (EMSDC) Model for Cluster Based WSN (CWSN). Experiments are carried out to verify the efficiency of EMSDC and to equate it with the existing versions. The findings of the Latency and Overhead benchmarks demonstrated a lot of progress over the state-of-the-art versions.

Real-Time Data Management on a Wireless Sensor Network

2005 ◽  
Vol 1 (2) ◽  
pp. 215-225 ◽  
Author(s):  
Chris Roadknight ◽  
Laura Parrott ◽  
Nathan Boyd ◽  
Ian W. Marshall
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Statistical Tests ◽  
Adaptive Method ◽  
Wireless Sensor ◽  
Limited Resources ◽  
Time Data ◽  
Real Time Data ◽  
Local Feedback ◽  
Material Exchange

A multi-layered algorithm is proposed that provides a scalable and adaptive method for handling data on a wireless sensor network. Statistical tests, local feedback, and global genetic style material exchange ensure limited resources such as battery and bandwidth which are used efficiently by manipulating data at the source and important features in the time series are not lost when compression needs to be made. The approach leads to a more ‘hands off’ implementation which is demonstrated by a real world oceanographic deployment of the system.

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