NDLI: Clustering wireless camera sensor networks based on overlapped region detection

Content Provider	IEEE Xplore Digital Library
Author	Kheirkhah, M.M. Khansari, M.
Copyright Year	2014
Description	Author affiliation: New Sci. & Technol. Univ. of Tehran, Tehran, Iran (Khansari, M.) \|\| Sch. of Sci. & Eng., Sharif Univ. of Technol., Tehran, Iran (Kheirkhah, M.M.)
Abstract	According to increase of multimedia applications such as video surveillance and environment monitoring in Wireless Multimedia Sensor Networks (WMSN), energy conservation and prolonging network lifetime become increasingly important. Therefore, energy conservation and maximization of system lifetime are commonly recognized as a key challenge in the design and implementation of WMSNs. In these networks, nodes sense the area with high degree of correlation due to the overlapping Field of Views (FoVs) and causes wasting network energy. We present “overlapped region detection clustering” as a new clustering method to reduce redundant video streams and overcome waste of the energy. We apply scene cut technique to obtain overlapped region between images and then we apply our new clustering algorithm using scene cut detection results. We also propose a new camera activation algorithm to maximize gained information from correlated cameras and balance the communication load. Simulation results demonstrate that applying our clustering and camera activation algorithms to nodes, the network communication load and energy consumption are effectively reduced at their maximum by 75% and 66.6% respectively compared to correlation-based scheme.
Starting Page	712
Ending Page	719
File Size	851618
Page Count	8
File Format	PDF
e-ISBN	9781479953592
DOI	10.1109/ISTEL.2014.7000795
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-09
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Overlapped Region Correlation Wireless Multimedia Sensor Network (WMSN) Multimedia communication Clustering Field of View (FoV) Wireless communication Wireless sensor networks Clustering algorithms Streaming media Cameras Energy Conservation Scene Cut Detection Correlated Camera
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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