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Reseach Article

Comparative Study of Symmetrical and Asymmetrical Network Parameters in Smart Grid Infrastructure

by Niranjan S. Kulkarni, Snehal J. Koparde, S. L. Nalbalwar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 7
Year of Publication: 2012
Authors: Niranjan S. Kulkarni, Snehal J. Koparde, S. L. Nalbalwar
10.5120/7362-0154

Niranjan S. Kulkarni, Snehal J. Koparde, S. L. Nalbalwar . Comparative Study of Symmetrical and Asymmetrical Network Parameters in Smart Grid Infrastructure. International Journal of Computer Applications. 48, 7 ( June 2012), 33-36. DOI=10.5120/7362-0154

@article{ 10.5120/7362-0154,
author = { Niranjan S. Kulkarni, Snehal J. Koparde, S. L. Nalbalwar },
title = { Comparative Study of Symmetrical and Asymmetrical Network Parameters in Smart Grid Infrastructure },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 7 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 33-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number7/7362-0154/ },
doi = { 10.5120/7362-0154 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:29.484680+05:30
%A Niranjan S. Kulkarni
%A Snehal J. Koparde
%A S. L. Nalbalwar
%T Comparative Study of Symmetrical and Asymmetrical Network Parameters in Smart Grid Infrastructure
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 7
%P 33-36
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a comparative study of symmetric and asymmetric network for smart grid is proposed. In smart grid different nodes may be present with different capabilities, such as depending upon manufacturer, sensitivity of different nodes may changes. This significantly keeps impacts on the range of the parent node. Random nature of the infrastructure may changes the power capabilities to send the information to the parent node. This needs the power which is directly proportional to the physical distance between respective nodes. RPL (Routing Protocol for Low Power and Lossy Network) is proposed for the LLN (Low Power and Lossy Network) network which closely resemblance the infrastructure of smart grid. It's independent on the physical layer parameters and useful in the Cognitive Radio aspect. For symmetric nodes we compute the bidirectional links and node can directly communicate with its parent node without any extra overhead, however in asymmetric nature node needs to discover the multiple paths and may increase the overhead. In this paper we proposed different parameter which keeps significant impact on asymmetric network for smart grid.

References
  1. Vehbi C. Gungor, Member, IEEE, Bin Lu, Senior Member, IEEE, and Gerhard P. Hancke, Senior Member, IEEE "Opportunities and Challenges of Wireless Sensor Networks in Smart Grid" IEEE Transactions On Industrial Electronics, Vol. 57, No. 10, October 2010
  2. Tevfik Yucek and H¨useyin Arslan "A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications" IEEE Communications Surveys & Tutorials, Vol. 11, No. 1, First Quarter 2009
  3. ] Carlos Cordeiro, Monisha Ghosh, Dave Cavalcanti, and Kiran Challapali "Spectrum Sensing for Dynamic Spectrum Access of TV Bands"
  4. IEEE Standard for Information technology-Telecommunications and information exchange between systems- Local and metropolitan area networks- Specific requirements "Part 15. 4: wireless Medium Access Control (MAC) and Physical Layer (PHY) specifications for Low-Rate Wireless Personal Area Networks (WPANs)".
  5. Ashwin Alur Sreesha, Shashank Somal and I-Tai Lu "Cognitive Radio based Wireless Sensor Network Architecture for Smart Grid Utility" IEEE Transaction 2011
  6. RPL: IPv6 Routing Protocol for Low power and Lossy Networks Draft-ietf-roll-rpl-19.
  7. Di Wang, Zhifeng Tao, Jinyun Zhang, Alhussein A. Abouzeid "RPL based Routing for Advanced MeteringInfrastructure in Smart Grid".
Index Terms

Computer Science
Information Sciences

Keywords

Symmetric Network Asymmetric Network Smart Grid Lln Network (low Power And Lossy Network) Bidirectional Links