DocumentCode :
2364580
Title :
Study on automatic relaying algorithm for PLC based on channel state
Author :
Lu, Wenbing ; Luo, Yingli ; Bi, Xiaowei ; Ma, Yonghong ; Chen, Yongquan
Author_Institution :
Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Volume :
1
fYear :
2010
fDate :
June 29 2010-July 1 2010
Firstpage :
81
Lastpage :
85
Abstract :
Relaying communication is a necessary means to improve the reliability of Meter Reading System (MRS) based on Power Line Carrier (PLC), but the searching for relaying path is one of the biggest challenges. According to the characteristics of PLC networks, an adaptive automatic relaying method based on the parameters of power line channel state and improved ant colony optimization algorithm is put forward in this paper. In the proposed algorithm, the restricted candidate list (RCL) strategy utilizing the greed stochastic adaptive searching method is also introduced according to the parameters of channel. The simulation and experimental results indicate that the algorithm can be adaptive to the channel state´s change by updating routing table dynamically, effectively improve the accuracy of relay and the success rate, and improve the search efficiency.
Keywords :
carrier transmission on power lines; optimisation; stochastic processes; telecommunication network reliability; PLC; ant colony optimization; automatic relaying algorithm; greed stochastic adaptive searching method; meter reading system; power line carrier; power line channel state; relaying communication; reliability; restricted candidate list; Electronic mail; Loading; PLC meter-reading system; amplitude parameter; ant colony optimization algorithm; automatic relaying algorithm; restricted candidate list (RCL);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7475-2
Type :
conf
DOI :
10.1109/ICCSNA.2010.5588771
Filename :
5588771
Link To Document :
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