Low Complexity DCT Approximation for Image Compression in Wireless Image Sensor Networks

2016 ◽  
Vol 25 (08) ◽  
pp. 1650088 ◽  
Author(s):  
Khaoula Mechouek ◽  
Nasreddine Kouadria ◽  
Noureddine Doghmane ◽  
Nadia Kaddeche
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Low Complexity ◽  
Image Sensor ◽  
Experimental Comparison ◽  
Approximation Techniques ◽  
Dct Approximation ◽  
Dct Transformation ◽  
Computationally Intensive ◽  
Save Energy

Energy consumption is a critical problem affecting the lifetime of wireless image sensor networks (WISNs). In such systems, images are usually compressed using JPEG standard to save energy during transmission. And since DCT transformation is the most computationally intensive part in the JPEG technique, several approximation techniques have been proposed to further decrease the energy consumption. In this paper, we propose a low-complexity DCT approximation method which is based on the combination of the rounded DCT with a pruned approach. Experimental comparison with recently proposed schemes, using Atmel Atmega128L platform, shows that our method requires less arithmetic operations, and hence less processing time and/or the energy consumption while providing better performance in terms of PSNR metric.

An Efficient Sleeping Scheduling for Save Energy Consumption in Wireless Sensor Networks

2013 ◽  
Vol 756-759 ◽  
pp. 2288-2293
Author(s):  
Shu Guang Jia ◽  
Li Peng Lu ◽  
Ling Dong Su ◽  
Gui Lan Xing ◽  
Ming Yue Zhai
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Smart Grid ◽  
Round Robin ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Active Sensors ◽  
Save Energy ◽  
Battery Energy

Smart grid has become one hot topic at home and abroad in recent years. Wireless Sensor Networks (WSNs) has applied to lots of fields of smart grid, such as monitoring and controlling. We should ensure that there are enough active sensors to satisfy the service request. But, the sensor nodes have limited battery energy, so, how to reduce energy consumption in WSNs is a key challenging. Based on this problem, we propose a sleeping scheduling model. In this model, firstly, the sensor nodes round robin is used to let as little as possible active nodes while all the targets in the power grid are monitored; Secondly, for removing the redundant active nodes, the sensor nodes round robin is further optimized. Simulation result indicates that this sleep mechanism can save the energy consumption of every sensor node.

Research on Energy-Saving Strategy for Wireless Sensor Networks

2010 ◽  
Vol 159 ◽  
pp. 733-738 ◽  
Author(s):  
Yuan Yuan Li
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Saving ◽  
Technology Use ◽  
Topology Control ◽  
Wireless Sensor ◽  
Optimization Strategy ◽  
Single Node ◽  
Save Energy

The wireless sensor networks have been extensively deployed and researched. One of the major issues in wireless sensor networks is the energy consumption program. In this paper, we analyzed the development status of wireless sensor networks and the problems,while proposed the network structure and energy model,then we discussed the energy saving strategies for wireless sensor networks from four aspects:First analysis the component of WSN protocol stack and the energy consumption;Second,we study the energy-saving strategy for a single node from the computing subsystem and the communication subsystem,and we introduce a new long-sleeping status to save energy through using Flag mark.Third is the energy-saving optimization strategy based on communication protocol which mainly discuss from MAC and routing protocols.Last,we discuss the topology control strategy for energy-saving and point out the importance of topology control technology. Use these strategies, we can significantly reduce the energy consumption of wireless sensor networks and extend the network life-cycle.

scholarly journals Save Energy in Wireless Sensor Networks Routing Using Fuzzy Approach and Biogeography Based Optimization

2017 ◽  
Vol 12 (2) ◽  
pp. 3167-3178
Author(s):  
Yasser Kareem AlRikabi
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Search Algorithm ◽  
Wireless Sensor ◽  
Fuzzy Approach ◽  
Traffic Pattern ◽  
Balancing Energy ◽  
Save Energy

Extending the lifetime of the energy constrained wireless sensor networks is a crucial challenge in wireless sensor networks (WSNs) research. When designing a WSN infrastructure Resource limitations have to be taken into account. The inherent problem in WSNs is unbalanced energy consumption, characterized by multi hop routing and a many-to-one traffic pattern. This uneven energy dissipation can significantly reduce network lifetime. This paper proposes a new routing method for WSNs to extend network lifetime using a combination of a fuzzy approach and Biogeography Based Optimization (BBO) algorithm which is capable of finding the optimal routing path form the source to the destination by favoring some of routing criteria and balancing among them to prolong the network lifetime. To demonstrate the effectiveness of the proposed method in terms of balancing energy consumption and maximization of network lifetime, we compare our approach with the BBO search algorithm and fuzzy approach using the same routing criteria. Simulation results demonstrate that the network lifetime achieved by the proposed method could be increased by nearly 25% more than that obtained by the BBO algorithm and by nearly 20% more than that obtained by the fuzzy approach.

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