Energy-efficient and low-delay scheduling scheme for low power wireless sensor network with real-time data flows

2016 ◽  
Vol 22 (3) ◽  
pp. 174
Author(s):  
Wei Wang ◽  
Zheng Zhang ◽  
Zhenbo Li ◽  
Shouwei Hu ◽  
Jiapin Chen
Keyword(s):  
Wireless Sensor Network ◽  
Low Power ◽  
Sensor Network ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Time Data ◽  
Low Delay ◽  
Scheduling Scheme ◽  
Data Flows ◽  
Real Time Data

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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