A feasible, effective image transmitting framework in WMSNs

Tian, Feng; Song, Kun; Sun, Enyan

doi:10.2991/icmii-15.2015.3

Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics 2015

DOI: 10.2991/icmii-15.2015.3

|Get access via publisher |Cite

A feasible, effective image transmitting framework in WMSNs

Feng Tian

Kun Song

Enyan Sun

Abstract: In WMSNs, compared with the complicated media processing task the energy of node is very limited. In this paper, we use ROI coding of the image to decrease the requirement of the energy, and propose a feasible, effective framework to prolong the life time of the network.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Relationship

Self Cite0

Independent0

Authors

Journals

Cited by 0 publications

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

No citations

Set email alert for when this publication receives citations?

Scite is an AI-powered research tool that helps researchers better discover and evaluate scientific literature through Smart Citations—a revolutionary system that shows whether articles support, contrast, or simply mention a given claim. Founded in 2018, and now part of Research Solutions, Scite has indexed over 1.3 billion citations and partnered with more than 30 major publishers to provide researchers with unparalleled access to scientific literature. With its Scite Assistant, Smart Citation Index, and advanced search capabilities, the platform addresses critical challenges such as information overload and research reproducibility. Trusted by two million active users worldwide, Scite is reshaping how researchers interact with scholarly content—building ethical, transparent AI tools that support rigorous, copyright-compliant research.