A Pervasive Network Control Algorithm for Multicamera Networks

Lee, Sung‐Jin; Lee, Sang Hoon; Kim, Seonghyun; Lee, Sanghoon; Bovik, Alan C.

doi:10.1109/jsen.2013.2294743

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…Further, for achieving high image compression ratio, better image quality and signal to noise ratio NDIC-PCA algorithm is proposed. Lee et.al., [7] paper describes energy-efficient framework for design of wireless video sensor networks. For multi-camera network an algorithm "capture rate and pervasive network control" is developed.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Data Compression Techniques for Video Transmission over Wireless Sensor Networks

Khedkar¹,

Asutkar²,

Hariprakash³

2019

IJEAT

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Video transmission over WSN is a challenging task because, video data is inherently huge in size and its transmission requires high bandwidth and processing requires more memory and more power. Presently majority of the research work in this area is focused on improving battery life, optimizing network parameters and increasing energy efficiency. The area of best suitable compression scheme for WSN is rarely being explored. This paper focuses on finding out a suitable compression technique for video transmission over WSN. Wireless sensor network (WSN) is an ad-hoc network of sensor nodes, where each node is able to communicate with every other node in the network in single hop or multi-hop manner. It is a low cost, low power and low bandwidth network with each node having limited battery life and limited memory. In order to overcome these challenges, initially image compression is applied on each frame extracted from given video. To find out most suitable compression technique for WSN, the various existing 2D image transforms like DCT, KLT, Slant, Hartley, Hadamard and DST are compared based upon their energy compaction property. The transform that gives more energy compaction is best suitable for WSN. Thus, after selecting a suitable transform for WSN domain, it is applied to obtain compressed video frames. Zigbee protocol based hardware setup is used for serial transmission of RGB video data frames between the nodes. Different parameters are evaluated for received image frames and transmitted image frames. Experimental evaluation shows that zigbee hardware setup improves the reliability and efficiency of video data transmission. This type of WSN set-up can be used for capturing video in any remote and hard-lying (border, mountains, forest) area, where any other types of networks are not available.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Data Compression Techniques for Video Transmission over Wireless Sensor Networks

Khedkar¹,

Asutkar²,

Hariprakash³

2019

IJEAT

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“…Although there exist many recent deployments [6, 7] of such a WSN with high energy consuming sensors, the feasibility of sustainable operation of such a network with the available resources needs to be evaluated for a given location before the actual deployment of nodes. In this work, an air pollution monitoring WSN has been considered where the nodes harvest solar energy for sustainable operation.…”

Section: Introductionmentioning

confidence: 99%

Stochastic solar harvesting characterisation for sustainable sensor node operation

Kaushik

Mishra

2019

IET wirel. sens. syst.

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Self-sustainability of low power wireless sensor nodes is the need of the hour to realize ubiquitous wireless networks. To address this requirement we investigate the practical feasibility of sustainable green sensor network with solar-powered nodes. We propose simple yet efficient (i) analytical circuit model for solar panel assisted supercapacitor charging and (ii) statistical model for characterizing the solar intensity distribution. Combining these circuit and statistical models, we derive a novel solar charging rate distribution for the solar-powered supercapacitor. To gain analytical insights, we also propose an ideal diode based tight approximation for the practical supercapacitor charging circuit model. The accuracy of these proposed analytical models have been validated by extensive numerical simulations based on the real-world data, i.e., solar intensity profile and solar panel characteristics. The derived solar charging rate distribution is used to investigate the supported sampling rate of the node with different varying number of on-board sensors for a given energy outage probability. Results suggest that for an energy outage probability of 0.1, at New Delhi, a 40 F supercapacitor and a 3 W solar panel can support the operation of Waspmote with 6 on-board toxic gas sensors with a sampling rate of 65 samples per day. Further, we use the proposed models to estimate the practical supercapacitor and solar panel sizes required to ensure sustainability of sensor node operation at different geographical locations with varying sensing rate.

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A Novel Compression Method for Transmitting Multimedia Data in Wireless Multimedia Sensor Networks

Tiwari¹,

Kumar

2022

Proceedings of Third International Conference on Computing, Communications, and Cyber-Security

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A Pervasive Network Control Algorithm for Multicamera Networks

Cited by 6 publications

References 29 publications

Evaluation of Data Compression Techniques for Video Transmission over Wireless Sensor Networks

Evaluation of Data Compression Techniques for Video Transmission over Wireless Sensor Networks

Stochastic solar harvesting characterisation for sustainable sensor node operation

A Novel Compression Method for Transmitting Multimedia Data in Wireless Multimedia Sensor Networks

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