An Energy-Efficient Data Gathering Mechanism using Traveling Wave and Spatial Interpolation for Wireless Sensor Networks

2012 ◽  
Vol 20 (1) ◽  
pp. 167-176 ◽  
Author(s):  
Yoshiaki Taniguchi ◽  
Akimitsu Kanzaki ◽  
Naoki Wakamiya ◽  
Takahiro Hara
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Traveling Wave ◽  
Energy Efficient ◽  
Spatial Interpolation ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Efficient Data

An energy-efficient data gathering algorithm to prolong lifetime of wireless sensor networks

2010 ◽  
Vol 33 (5) ◽  
pp. 639-647 ◽  
Author(s):  
Yi-hua Zhu ◽  
Wan-deng Wu ◽  
Jian Pan ◽  
Yi-ping Tang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Efficient Data

scholarly journals Novel Energy-Efficient Data Gathering Scheme Exploiting Spatial-Temporal Correlation for Wireless Sensor Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Ying Zhou ◽  
Lihua Yang ◽  
Longxiang Yang ◽  
Meng Ni
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Data Gathering ◽  
Temporal Correlation ◽  
Wireless Sensor ◽  
Selection Scheme ◽  
Efficient Data ◽  
Transmission Energy Consumption

A novel energy-efficient data gathering scheme that exploits spatial-temporal correlation is proposed for clustered wireless sensor networks in this paper. In the proposed method, dual prediction is used in the intracluster transmission to reduce the temporal redundancy, and hybrid compressed sensing is employed in the intercluster transmission to reduce the spatial redundancy. Moreover, an error threshold selection scheme is presented for the prediction model by optimizing the relationship between the energy consumption and the recovery accuracy, which makes the proposed method well suitable for different application environments. In addition, the transmission energy consumption is derived to verify the efficiency of the proposed method. Simulation results show that the proposed method has higher energy efficiency compared with the existing schemes, and the sink can recover measurements with reasonable accuracy by using the proposed method.

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