The most proper wavelet filters in low-complexity and an embedded hierarchical image compression structures for wireless sensor network implementation requirements

2012 ◽  
Author(s):  
Khamees Khalaf Hasan ◽  
Umi Kalthum Ngah ◽  
Mohd Fadzli Mohd Salleh
Keyword(s):  
Wireless Sensor Network ◽  
Image Compression ◽  
Sensor Network ◽  
Low Complexity ◽  
Wireless Sensor ◽  
Wavelet Filters

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>

DESIGN AND IMPLEMENTATION OF WIRELESS SENSOR NETWORK FOR ROBOT NAVIGATION

2007 ◽  
Vol 04 (01) ◽  
pp. 77-89 ◽  
Author(s):  
WANMING CHEN ◽  
HUAWEI LIANG ◽  
TAO MEI ◽  
ZHUHONG YOU ◽  
SHIFU MIAO ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Robot Navigation ◽  
Information Source ◽  
Low Complexity ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Distributed Information ◽  
Communication Method

Global Positioning System (GPS) is often used as a main information source for robot localization and navigation. However, it cannot be used in room or in field complex environment because of the bad signal there. To solve this problem, the authors designed and implemented a specific wireless sensor network (WSN) to provide information about the environment and indicate path for robot navigation. A two-stage auto-adaptive route selecting mechanism of the WSN was proposed to facilitate data relaying in localization and the robot's navigation. A low complexity localization algorithm was used to localize both the nodes and the robot. An indirect communication method was designed to make the communication between the WSN and the robot possible. In addition, a robot navigation method was proposed based on the wireless sensor network. In this method, the robot did not need to obtain the environment information; the wireless sensor nodes collected and fused the distributed information and then indicate a path for the robot. Experiments showed that the wireless sensor network can result in obstacle avoidance navigation, and can implement the online navigation.

Low Complexity UWB Radios for Precise Wireless Sensor Network Synchronization

2013 ◽  
Vol 62 (9) ◽  
pp. 2538-2548 ◽  
Author(s):  
Paolo Carbone ◽  
Alessandro Cazzorla ◽  
Paolo Ferrari ◽  
Alessandra Flammini ◽  
Antonio Moschitta ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Complexity ◽  
Wireless Sensor ◽  
Network Synchronization

Comparison of Image Compression Methods for Image Transmission Over Wireless Sensor Network

2019 ◽  
Vol 16 (9) ◽  
pp. 3912-3916 ◽  
Author(s):  
Rekha Dalia ◽  
Rajeev Gupta
Keyword(s):  
Wireless Sensor Network ◽  
Image Compression ◽  
Sensor Network ◽  
Compression Ratio ◽  
Performance Metrics ◽  
Cost Effective ◽  
Image Transmission ◽  
Wireless Sensor ◽  
Compression Time ◽  
Image Compression Algorithm

Unlike conventional networks, in Wireless Sensor Network the nodes have constrained energy, memory and processing capabilities. These nodes deployed in a constrained environment monitor any changes in surrounding environment and transfer the changes to the cluster heads. Each node has its own memory, battery, and transceivers. Efficient utilization of these resources can result in the enhancement of network lifetime. In order to securely transfer the data in the form of images, an efficient and cost effective image compression algorithm is required. Hence, in this paper, a detailed review of image compression algorithms has been carried out. The selected algorithms are compared in terms of various performance metrics such as compression ratio, compression time, speed, type of data, etc. The results showed that algorithm proposed by Borici and Arber is the best in case of compression ratio, as it provides better compression ratio in comparison to other algorithms.

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