scholarly journals Exploration of Distributed Image Compression and Transmission Algorithms for Wireless Sensor Networks

2019 ◽  
Vol 15 (01) ◽  
pp. 143
Author(s):  
Fangzhou He
Keyword(s):  
Wavelet Transform ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Image Compression ◽  
Sensor Network ◽  
Set Partitioning ◽  
Wireless Sensor ◽  
Analytical Test ◽  
Cooperative Processing ◽  
Spiht Algorithm

<span lang="EN-US">To prolong the life cycle of wireless sensor network, the basic theory of wavelet transform and its application in image compression are described, and several classic image compression algorithms based on wavelet transform are studied in depth. A compression algorithm combining the improved wavelet transform and <a name="_Hlk527539123"></a>Set Partitioning in Hierarchical Trees (SPIHT) algorithm of hierarchical wavelet tree set segmentation is proposed to effectively balance the energy consumption of each node in the sensor network and prolong the life of the whole wireless sensor network and an improved distributed image compression and transmission algorithm is proposed based on the distributed multi-node cooperative processing algorithm based on wavelet transformation, and detailed analytical test and energy consumption simulation experiment are carried out to verify the feasibility of the algorithm. The results show that the platform effectively implements and verifies the proposed algorithm, which can effectively realize the compression and transmission of distributed images, equalize the energy consumption of each sensor node in the network, and has strong practicability.</span>

scholarly journals Multi-frame Image Processing Based on Wireless Sensor Networks

2018 ◽  
Vol 14 (10) ◽  
pp. 94
Author(s):  
Xianfeng Yang ◽  
Xiaojian Jia
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Wireless Sensor Network ◽  
Image Compression ◽  
Sensor Network ◽  
Energy Performance ◽  
Compression Algorithm ◽  
Wireless Sensor ◽  
Spiht Algorithm ◽  
Image Compression Algorithm

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">With multi-frame image processing based on wireless sensor network as research object, this study analyzes the problems existing in the two classic multi-node collaborative distributed image processing algorithms based on wavelet transform using literature analysis, simulation experiment, data analysis and other research methods, proposes a distributed image compression algorithm based on SHIHT with the application of wireless sensor network, SPIHT algorithm and wavelet transform to image compression as theoretical foundations, and adopts the matrix laboratory to simulate the energy performance of the algorithm. Through comparative analysis, the feasibility of distributed image compression algorithm based on SHIHT presented in this study is verified.</span>

An Energy Efficient Estimation Algorithm for Wireless Sensor Network

2011 ◽  
Vol 216 ◽  
pp. 176-180
Author(s):  
Yong Ding ◽  
Yue Mei Su
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Estimation Algorithm ◽  
Efficient Estimation ◽  
Wireless Sensor ◽  
Estimation Algorithms ◽  
Current Energy

Wireless Sensor Networks functionality is closely related to network lifetime which depends on the energy consumption, so require energy- efficient protocols to improve the network lifetime. According to the analysis and summary of the current energy efficient estimation algorithms in wireless sensor network An energy-efficient algorithm is proposed,. Then this optimization algorithm proposed in the paper is adopted to improve the traditional diffusion routing protocol. Simulation results show that this algorithm is to effectively balance the network energy consumption, improve the network life-cycle and ensure the communication quality.

scholarly journals Evaluation of a Wireless Sensor Network with Low Cost and Low Energy Consumption for Fire Detection and Monitoring

2014 ◽  
Vol 51 (4) ◽  
pp. 971-993 ◽  
Author(s):  
Xavier Silvani ◽  
Frédéric Morandini ◽  
Eric Innocenti ◽  
Sylvestre Peres
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Fire Detection ◽  
Low Energy ◽  
Wireless Sensor ◽  
Low Energy Consumption
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