Title :
Delay minimization for reliable data collection on overhead transmission lines in smart grid
Author :
Peng Li ; Song Guo
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Aizu, Fukushima, Japan
Abstract :
Due to the rapid growth of power demand, the aging problem of transmission lines becomes serious and has caused many problems to electric utilities and customers in terms of system reliability, power quality and customer satisfaction. In order to efficiently monitoring the power transmission system, a large number of sensors are deployed on the transmission line to form a Power Line Sensornet (PLSN). For efficient data collection in the PLSN, direct cellular links can be used to improve the delay performance. However, all previous research has an unrealistic assumption that the transmission links in the PLNS are reliable. In this paper, we investigate the reliable data collection problem in PLSNs with lossy wireless links. With the objective of minimizing the delay, we propose a time-efficient algorithm to setup direct cellular links on a subset of nodes in the PLSN. Extensive simulations are conducted to show that our algorithm can significantly improve the delay performance.
Keywords :
cellular radio; customer satisfaction; delays; electric sensing devices; power overhead lines; power supply quality; power transmission reliability; radio links; smart power grids; PLSN; aging problem; customer satisfaction; delay minimization; direct cellular links; electric utility; lossy wireless links; overhead transmission lines; power line sensornet; power quality; power transmission system; reliable data collection problem; sensors; smart grid; system reliability; time-efficient algorithm; transmission links; Data collection; Delays; Power transmission lines; Relays; Sensors; Substations; Wireless communication; data collection; delay; overhead transmission line; smart grid;
Conference_Titel :
Computing, Communications and IT Applications Conference (ComComAp), 2013
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-6043-2
DOI :
10.1109/ComComAp.2013.6533626