research-article

Network condition based multi-level image compression and transmission in WSN

Authors:

M. Jamuna Rani,

C. VasanthanayakiAuthors Info & Claims

Volume 150, Issue C

Pages 317 - 324

https://doi.org/10.1016/j.comcom.2019.11.027

Published: 15 January 2020 Publication History

Abstract

The growing use of wireless sensor network has great deal with the bandwidth utilization. The most network users access the wireless sensor network for many applications. The image search is the one among them which needs to consider many network parameters. Variety of data compression techniques have been proposed in literature towards the data transmission in WSN. The earlier methods have the deficiency in producing higher image compression and transmission. To overcome the issues, an efficient network condition based approach is presented here. The presence of supportive condition in the network would improve the performance of data transmission. First, the network conditions namely bandwidth available, hop count, energy of sensor and traffic are monitored. Based on the above mentioned parameters of the network, the Data Transmission support (DTS) for each route available has been estimated. With the transmission support measured, a single route is selected and the level of compression is determined. The selected route and compression level is used to perform data transmission. The input image has been compressed into multiple levels by applying wavelet transmission. Compressed image has been transmitted through the route selected. The DTS based approach hikes the quality of service of wireless sensor network and reduces the time complexity as well.

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Cited By

Sulthana NDuraipandian M(2024)EELCR: energy efficient lifetime aware cluster based routing technique for wireless sensor networks using optimal clustering and compressionTelecommunications Systems10.1007/s11235-023-01068-485:1(103-124)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11235-023-01068-4

Index Terms

Network condition based multi-level image compression and transmission in WSN
1. Hardware

Index terms have been assigned to the content through auto-classification.

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cover image Computer Communications

Computer Communications Volume 150, Issue C

Jan 2020

843 pages

ISSN:0140-3664

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Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 15 January 2020

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Cited By

Sulthana NDuraipandian M(2024)EELCR: energy efficient lifetime aware cluster based routing technique for wireless sensor networks using optimal clustering and compressionTelecommunications Systems10.1007/s11235-023-01068-485:1(103-124)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11235-023-01068-4

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