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Efficient Data Reduction Techniques for Remote Applications of a Wireless Visual Sensor Network
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.ORCID-id: 0000-0002-6484-9260
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion. (STC)ORCID-id: 0000-0003-1923-3843
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion. (STC)
2013 (engelsk)Inngår i: International Journal of Advanced Robotic Systems, ISSN 1729-8806, E-ISSN 1729-8814, Vol. 10, s. Art. no. 240-Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A Wireless Visual Sensor Network (WVSN) is formed by deploying many Visual Sensor Nodes (VSNs) in the field. After acquiring an image of the area of interest, the VSN performs local processing on it and transmits the result using an embedded wireless transceiver. Wireless data transmission consumes a great deal of energy, where energy consumption is mainly dependent on the amount of information being transmitted. The image captured by the VSN contains a huge amount of data. For certain applications, segmentation can be performed on the captured images. The amount of information in the segmented images can be reduced by applying efficient bi-level image compression methods. In this way, the communication energy consumption of each of the VSNs can be reduced. However, the data reduction capability of bi-level image compression standards is fixed and is limited by the used compression algorithm. For applications attributing few changes in adjacent frames, change coding can be applied for further data reduction. Detecting and compressing only the Regions of Interest (ROIs) in the change frame is another possibility for further data reduction. In a communication system, where both the sender and the receiver know the employed compression standard, there is a possibility for further data reduction by not including the header information in the compressed bit stream of the sender. This paper summarizes different information reduction techniques such as image coding, change coding and ROI coding. The main contribution is the investigation of the combined effect of all these coding methods and their application to a few representative real life applications. This paper is intended to be a resource for researchers interested in techniques for information reduction in energy constrained embedded applications.

sted, utgiver, år, opplag, sider
2013. Vol. 10, s. Art. no. 240-
Emneord [en]
Image Coding; Change Coding; ROI Coding; Energy Consumption; Visual Sensor Node; Image Header; Wireless Visual Sensor Network
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-18596DOI: 10.5772/55996ISI: 000318670000003Scopus ID: 2-s2.0-84879235380Lokal ID: STCOAI: oai:DiVA.org:miun-18596DiVA, id: diva2:611240
Tilgjengelig fra: 2013-03-15 Laget: 2013-03-15 Sist oppdatert: 2017-12-06bibliografisk kontrollert
Inngår i avhandling
1. Investigation of intelligence partitioning and data reduction in wireless visual sensor network
Åpne denne publikasjonen i ny fane eller vindu >>Investigation of intelligence partitioning and data reduction in wireless visual sensor network
2013 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Sundsvall: Mid Sweden University, 2013. s. 208
Serie
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 150
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-20976 (URN)STC (Lokal ID)978-91-87103-75-9 (ISBN)STC (Arkivnummer)STC (OAI)
Veileder
Tilgjengelig fra: 2014-01-08 Laget: 2014-01-08 Sist oppdatert: 2016-10-20bibliografisk kontrollert

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