scholarly journals High-Resolution Images with Minimum Energy Dissipation and Maximum Field-of-View in Camera-Based Wireless Multimedia Sensor Networks

Sensors ◽  
2009 ◽  
Vol 9 (8) ◽  
pp. 6385-6410 ◽  
Author(s):  
Hadi Aghdasi ◽  
Pouya Bisadi ◽  
Mohsen Moghaddam ◽  
Maghsoud Abbaspour
Keyword(s):  
Sensor Networks ◽  
Energy Dissipation ◽  
High Resolution ◽  
Minimum Energy ◽  
Field Of View ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
High Resolution Images ◽  
Maximum Field ◽  
Minimum Energy Dissipation

scholarly journals Exploration of Multi-Node Collaborative Image Acquisition and Compression Techniques for Wireless Multimedia Sensor Networks

2019 ◽  
Vol 15 (01) ◽  
pp. 196
Author(s):  
Fangzhou He
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Saving ◽  
Image Acquisition ◽  
Minimum Energy ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Image Collection ◽  
Camera Nodes

<span lang="EN-US">Aiming at saving energy and maximizing the network life cycle, the multi-node cooperative image acquisition and compression technology in Wireless Multimedia Sensor Networks</span><span lang="EN-US">(</span><span lang="EN-US">WMSNs) is studied deeply. </span><span lang="EN-US">T</span><span lang="EN-US">he Minimum Energy Image Collection (MEIC) problem for multiple target domains in a certain period of time in the monitoring area is proposed, the integer linear programming for Minimum Energy Image Collection (MEIC) problem is described and proved to be NP complete; then combined with the features of image acquisition of camera node,<a name="_Hlk527549560"></a> the Local Camera Coordinative Energy-saving Strategy (LCCES) is proposed, and the performance of the Local Camera Coordinative Energy-saving Strategy (LCCES) is evaluated through a lot of simulation experiments; finally, the LBT-based Multi-node Cooperative Image Compression Scheme (LBT-MCIC) is proposed. The results show that this strategy can effectively reduce the number of active camera nodes in the process of image acquisition, thus reducing the energy consumption of image acquisition</span><span lang="EN-US">.</span><span lang="EN-US"> At the same time, it also plays a role in balancing the energy consumption of camera nodes in the network, effectively solves the problem of high cost of common nodes in the image transmission scheme of two-hop cluster structure and has the characteristics of low computational complexity and high quality of reconstructed image.</span>

scholarly journals Energy-Efficient Routing Based on Dynamic Programming for Wireless Multimedia Sensor Networks (WMSNs)

2017 ◽  
Vol 63 (3) ◽  
pp. 279-283
Author(s):  
Emansa Hasri Putra ◽  
Risanuri Hidayat ◽  
I Wayan Mustika ◽  
Keyword(s):  
Dynamic Programming ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Minimum Energy ◽  
Wireless Multimedia Sensor Networks ◽  
Sensor Nodes ◽  
Wireless Multimedia ◽  
Energy Efficient Routing ◽  
Multimedia Sensor Networks ◽  
Routing Optimization

Abstract Wireless Multimedia Sensor Networks (WMSNs) advances can route multimedia applications from source nodes to a sink. However, they require energy efficiency and network lifetime due to limited power resources in the sensor nodes. This paper proposes an energy-efficient routing optimization for multimedia transmission in WMSNs. The optimization utilizes a routing algorithm based on the dynamic programming. The routing optimization algorithm selects intermediary nodes which have minimum energy above 60%. Then, the priority selection of paths immediately finds neighboring nodes which have the greatest energy minimum. If there is the same minimum energy between the neighboring nodes, then the second priority selection is based on smaller link cost.

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