Specifications

and Television - 717.1 Optical Communication Systems
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
3.
Accession number: 20133816763310
Title: Decentralized distribution update algorithm based on compressibility-controlled wireless
sensor network
Authors: Li, Hehua1 ; Wu, Chunling1 ; Wei, Wei2 ; Khoukhi, Buddha3/;;魏嵬;
Author affiliation: 1 Institute of Information Security Technology, Chongqing College of
Electronic Engineering, Chongqing 401331, China
2 Xi'an University of technology, School of Computer Science and Engineering, Xi'an, China
3 School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6,
Canada
Source title: Journal of Networks
Abbreviated source title: J. Netw.
Volume: 8
Issue: 9
Issue date: 2013
Publication year: 2013
Pages: 2078-2084
Language: English
ISSN: 17962056
Document type: Journal article (JA)
Publisher: Academy Publisher, P.O.Box 40,, OULU, 90571, Finland
Abstract: Sensor network adopts the lossy compression techniques to collect long-term data,
analyze the data tendency and the interested specific data model. In these applications, the
sensor is established to collect large numbers of continuous data, and allow the access to the
lossy and untimely data. In addition, the neighbor sensor data is correlated both in time and in
space. Therefore, the data sensed by the sensor itself in the intermediate node and the data will
be lossy compressed for prolonging the system operation lifetime. To study the optimal
distributed problem of the bite-rate and the lossy degree. When the optimal distribution problem
between the bit-rate and the lossy degree is discussed, how to make the optimal decision
distributes the compressibility of all sensors in the satisfaction of the acceptable data distorted
condition. For adopting the minimum transmittal bit-rate to collect the top-quality data. The
optimal solution is introduced for the distribution problem, and the decentralized distribution
algorithm is introduced in terms of the optimal solution. Compared with the average distribution
strategy, the simulation result shows that the optimal solution and the decentralized actually can
reduce large numbers of the network transmittal data volume. © 2013 ACADEMY PUBLISHER.
Number of references: 17
Main heading: Compressibility
Controlled terms: Algorithms - Optimal systems - Optimization - Wireless sensor
networks
Uncontrolled terms: Decentralized distribution - Distributed compressibility configurations