bullet Sensors & Transducers Journal

    (ISSN: 2306-8515, e-ISSN 1726-5479)


2013 Global Impact Factor


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2014

Editorial Calendar

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents


Best Articles 2011




Vol. 174, Issue 7, July 2014, pp. 123-128




Implementation of Massive Real-time Database System Using Network Sensors
and Sector Operation

Q. D. Sun, Y. P. Qiu, Y. F. Shao and W. Y. Yan

School of Electronic and Electrical Engineering, Shanghai Second Polytechnic University, 2360 Jinhai Road, Shanghai, 201209, China
E-mail: qdsun@sspu.edu.cn, ypqiu@sspu.edu.cn, yfshao@sspu.edu.cn, wyyan@ sspu.edu.cn



Received: 14 March 2014 /Accepted: 30 June 2014 /Published: 31 July 2014

Digital Sensors and Sensor Sysstems


Abstract: In order to improve the stability of the massive database system and its capabilities of data processing and services, this paper proposed a distributed information server cluster. The N- level distributed architecture based on the network sensors was used to form a massive database system for real-time collection and query. Due to support by the network sensors, all components in this architecture have the functionality of plug and play. To efficiently schedule the tasks of storing gathered data and querying information, a dynamic and self-adaptive scheduling algorithm based on task sensors was introduced in the application server. The task sensor collects the load status from the common processes in various information servers by information collection processes in the application server and sends them to the scheduler in the same server, which dispatches the tasks of data storing into the most appropriate information server. Furthermore, an appropriative database system based on sector read-write directly was presented to improve the access speed, which is almost 25 times than that of database based on SYBASE or ORACLE. The practice shows that the system developed by this strategy has good flexibility and efficiency.


Keywords: Information server cluster, N-level distributed architecture, Network sensor, Task sensor, Task scheduling, Massive real-time database, Sector segmentation.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Subscribe the full-page Sensors & Transducers journal in print (paper) or pdf formats

(shipping cost by standard mail for paper version is included)

(25 % discount for IFSA Members)




Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com



Download <here> the Library Journal Recommendation Form



Read more about Wireless Sensor Networks






1999 - 2014 Copyright , International Frequency Sensor Association (IFSA) Publishing, S.L. All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn