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http://dx.doi.org/10.9708/jksci.2012.17.1.061

An Efficient Addressing Scheme Using (x, y) Coordinates in Environments of Smart Grid  

Cho, Yang-Hyun (Dept. of Computer Science & Engineering, Sahmyook University)
Lim, Song-Bin (Dept. of Electro. and Comm. Engineering, Kwangwoon University)
Kim, Gyung-Mok (Dept. of Medical Information System, Sahmyook College)
Abstract
Smart Grid is the next-generation intelligent power grid that maximizes energy efficiency with the convergence of IT technologies and the existing power grid. Smart Grid is created solution for standardization and interoperability. Smart Grid industry enables consumers to check power rates in real time for active power consumption. It also enables suppliers to measure their expected power generation load, which stabilizes the operation of the power system. Smart industy was ecolved actively cause Wireless communication is being considered for AMI system and wireless communication using ZigBee sensor has been applied in various industly. In this paper, we proposed efficient addressing scheme for improving the performance of the routing algorithm using ZigBee in Smart Grid environment. A distributed address allocation scheme used an existing algorithm has wasted address space. Therefore proposing x, y coordinate axes from divide address space of 16 bit to solve this problem. Each node was reduced not only bitwise but also multi hop using the coordinate axes while routing than Cskip algorithm. I compared the performance between the standard and the proposed mechanism through the numerical analysis. Simulation verify performance about decrease averaging multi hop count that compare proposing algorithm and another. The numerical analysis results show that proposed algorithm reduce multi hop than ZigBee distributed address assignment and another.
Keywords
Smart Grid; ZigBee; Cskip algorithm; AMR; AMI;
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  • Reference
1 http://smartgrid.ieee.org/www.kesl.org
2 National Energy Technology Laboratory for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability, Advanced Metering Infrastructure, February 2008.
3 http://www.nist.gov/smartgrid/
4 "Wireless Medium Access Control and Layer Speci fications ofr Low-Rate Wireless Personal Area Networks (LR-WPANs)," IEEE Std 802.15.4-2003, IEEE Computer Society, 01 Oct., 2003.
5 X. Li, K. Fang, and J. Gu, "An Improved ZigBee Routing Strategy for Monitoring System," The 1st Int. Workshop Intelligent Networks and Intelligent Systems, pp.255-258, Nov., 2008.
6 T. kim and D. kim, "Shortcut Tree Routing in ZigBee Networks," Int. Symposium on Wireless Pervasive Computing, Feb., 2007.
7 D. W. Seo, D. S. Yun, and S. H. Cho, "A Network Performance Improvement for One to- One and Many-to-One Communication Environment in ZigBee," Internet Magazine ElectroScop, Nov., 2007.
8 K. Khamforoosh and H. Kamforroush, "A New Rout ing Algorithm for Energy Reducetionin Wireless Sensor Networks," IEEE, pp. 505-509, 2009.
9 ZigBee Alliance, ZigBee-2007 Specification: ZigBee Document 053474r17, Jan., 2008.
10 U.S. Department of Energy, National Energy Techn ology Lab., Modern Grid Initiative, http Papers.
11 Wikipedia encyclopedia, Smart Gird. May, 2009.