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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
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Next issue: Nov 2017
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  2/2008 - 7

Virtual Lab for Wireless Sensor Networks

PICOVICI, D. See more information about PICOVICI, D. on SCOPUS See more information about PICOVICI, D. on IEEExplore See more information about PICOVICI, D. on Web of Science, CONTIU, A. V. See more information about  CONTIU, A. V. on SCOPUS See more information about  CONTIU, A. V. on SCOPUS See more information about CONTIU, A. V. on Web of Science, TOPA, A. See more information about  TOPA, A. on SCOPUS See more information about  TOPA, A. on SCOPUS See more information about TOPA, A. on Web of Science, NELSON, J. See more information about NELSON, J. on SCOPUS See more information about NELSON, J. on SCOPUS See more information about NELSON, J. on Web of Science
 
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Download PDF pdficon (1,151 KB) | Citation | Downloads: 920 | Views: 3,014

Author keywords
moteiv, Tmote Sky, virtual clients, virtual lab wireless networks, wireless sensors

References keywords
sensor(8), link(8), networks(5), david(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2008-06-02
Volume 8, Issue 2, Year 2008, On page(s): 37 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.02007
Web of Science Accession Number: 000264815000007
SCOPUS ID: 67749110369

Abstract
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This article details an experimental system developed to enhance the education and research in the area of wireless networks technologies. The system referred, as Virtual Lab (VL) is primarily targeting first time users or users with limited experience in programming and using wireless sensor networks. The VL enables a set of predefined sensor networks to be remotely accessible and controlled for constructive and time-efficient experimentation. In order to facilitate the user's wireless sensor applications, the VL is using three main components: a) a Virtual Lab Motes (VLM), representing the wireless sensor, b) a Virtual Lab Client (VLC), representing the user's tool to interact with the VLM and c) a Virtual Lab Server (VLS) representing the software link between the VLM and VLC. The concept has been proven using the moteiv produced Tmote Sky modules. Initial experimental use clearly demonstrates that the VL approach reduces dramatically the learning curve involved in programming and using the associated wireless sensor nodes. In addition the VL allows the user's focus to be directed towards the experiment and not towards the software programming challenges.


References | Cited By  «-- Click to see who has cited this paper

[1] Stankovic, J. A., Research Challenges for Wireless Sensor Networks, ACM Press, July 2004

[2] Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, Erdal Cayirci, A Survey on Sensor Networks, Communications Magazine, IEEE, August 2002

[3] Curt Schurgers Mani B. Srivastava, Energy efficient routing in wireless sensor networks, International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems, October 2004

[4] Chris Karlof and David Wagner. Secure routing in wireless sensor networks: Attacks and countermeasures, In Proceedings of First IEEE International Workshop on Sensor Network Protocols and Applications, May 2003.
[CrossRef] [Web of Science Times Cited 183] [SCOPUS Times Cited 789]


[5] Moteiv Corporation, San Francisco, CA, [Online] Available: Temporary on-line reference link removed - see the PDF document

[6] Moteiv Corporation, TmoteSky Technical documentation, [Online] Available: Temporary on-line reference link removed - see the PDF document

[7] Texas Instruments, MSP430x1xx Family User's Guide, [Online] Available: Temporary on-line reference link removed - see the PDF document

[8] Moteiv Corporation, Tmote Sky datasheet, [Online] Available: Temporary on-line reference link removed - see the PDF document

[9] Chipcon Corporation, Inverted F antenna datasheet, [Online] Available: Temporary on-line reference link removed - see the PDF document

[10] Anghel Vasile Contiu, A virtual lab approach for wireless sensor motes and wireless sensor networks, MEng Thesis, Technical University of Cluj-Napoca, 2006

[11] David Gay, Matt Welsh, David Culler, The nesC Language: A Holistic Approach to Networked Embedded Systems, ACM Press, May 2003

[12] Philip Levis, TinyOS Programming, [Online] Available: Temporary on-line reference link removed - see the PDF document

[13] Philip Levis, David Gay, Vlado Handziski, Jan-Hinrich Hauer, Ben Greenstein, Martin Turon, Jonathan Hui, Kevin Klues, Cory Sharp, Robert Szewczyk, Joe Polastre, Philip Buonadonna, Lama Nachman, Gilman Tolle, David Culler, and Adam Wolisz, TinyOS 2.0, The 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys'05), November 2005

[14] MIG tool description, [Online] Available: Temporary on-line reference link removed - see the PDF document

[15] Jonathan Hui, Deluge 2.0 - TinyOS Network Programming, [Online] Available: Temporary on-line reference link removed - see the PDF document

References Weight

Web of Science® Citations for all references: 183 TCR
SCOPUS® Citations for all references: 789 TCR

Web of Science® Average Citations per reference: 12 ACR
SCOPUS® Average Citations per reference: 53 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-09-18 13:32 in 12 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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