Robust decentralized estimation fusion in energy-constrained wireless sensor networks with correlated noises

2018 ◽  
Vol 78 ◽  
pp. 305-315 ◽  
Author(s):  
Xiaomei Qu ◽  
Jie Zhou ◽  
Wenrong Tan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Decentralized Estimation ◽  
Energy Constrained ◽  
Estimation Fusion ◽  
Correlated Noises

scholarly journals Energy-Constrained Quality Optimization for Secure Image Transmission in Wireless Sensor Networks

2007 ◽  
Vol 2007 ◽  
pp. 1-9 ◽  
Author(s):  
Wei Wang ◽  
Dongming Peng ◽  
Honggang Wang ◽  
Hamid Sharif ◽  
Hsiao-Hwa Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Image Transmission ◽  
Unequal Error Protection ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Position Information ◽  
Plain Text ◽  
Transmission Quality ◽  
Energy Constrained

Resource allocation for multimedia selective encryption and energy efficient transmission has not been fully investigated in literature for wireless sensor networks (WSNs). In this article, we propose a new cross-layer approach to optimize selectively encrypted image transmission quality in WSNs with strict energy constraint. A new selective image encryption approach favorable for unequal error protection (UEP) is proposed, which reduces encryption overhead considerably by controlling the structure of image bitstreams. Also, a novel cross-layer UEP scheme based on cipher-plain-text diversity is studied. In this UEP scheme, resources are unequally and optimally allocated in the encrypted bitstream structure, including data position information and magnitude value information. Simulation studies demonstrate that the proposed approach can simultaneously achieve improved image quality and assured energy efficiency with secure transmissions over WSNs.

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