Cluster-Based Arithmetic Coding for Data Provenance Compression in Wireless Sensor Networks
Joint Authors
Akhtar, Rizwan
Wang, Changda
Xu, Qinbao
Zhang, Xing
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-27
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
In wireless sensor networks (WSNs), data provenance records the data source and the forwarding and the aggregating information of a packet on its way to the base station (BS).
To conserve the energy and wireless communication bandwidth, the provenances are compressed at each node along the packet path.
To perform the provenances compression in resource-tightened WSNs, we present a cluster-based arithmetic coding method which not only has a higher compression rate but also can encode and decode the provenance in an incremental manner; i.e., the provenance can be zoomed in and out like Google Maps.
Such a decoding method raises the efficiencies of the provenance decoding and the data trust assessment.
Furthermore, the relationship between the clustering size and the provenance size is formally analyzed, and then the optimal clustering size is derived as a mathematical function of the WSN’s size.
Both the simulation and the test-bed experimental results show that our scheme outperforms the known arithmetic coding based provenance compression schemes with respect to the average provenance size, the energy consumption, and the communication bandwidth consumption.
American Psychological Association (APA)
Xu, Qinbao& Akhtar, Rizwan& Zhang, Xing& Wang, Changda. 2018. Cluster-Based Arithmetic Coding for Data Provenance Compression in Wireless Sensor Networks. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1216410
Modern Language Association (MLA)
Xu, Qinbao…[et al.]. Cluster-Based Arithmetic Coding for Data Provenance Compression in Wireless Sensor Networks. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1216410
American Medical Association (AMA)
Xu, Qinbao& Akhtar, Rizwan& Zhang, Xing& Wang, Changda. Cluster-Based Arithmetic Coding for Data Provenance Compression in Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1216410
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216410