14 February 2018 Cost- and reliability-oriented aggregation point association in long-term evolution and passive optical network hybrid access infrastructure for smart grid neighborhood area network
Xiao Cheng, Lei Feng, Fanqin Zhou, Lei Wei, Peng Yu, Wenjing Li
Author Affiliations +
Abstract
With the rapid development of the smart grid, the data aggregation point (AP) in the neighborhood area network (NAN) is becoming increasingly important for forwarding the information between the home area network and wide area network. Due to limited budget, it is unable to use one-single access technology to meet the ongoing requirements on AP coverage. This paper first introduces the wired and wireless hybrid access network with the integration of long-term evolution (LTE) and passive optical network (PON) system for NAN, which allows a good trade-off among cost, flexibility, and reliability. Then, based on the already existing wireless LTE network, an AP association optimization model is proposed to make the PON serve as many APs as possible, considering both the economic efficiency and network reliability. Moreover, since the features of the constraints and variables of this NP-hard problem, a hybrid intelligent optimization algorithm is proposed, which is achieved by the mixture of the genetic, ant colony and dynamic greedy algorithm. By comparing with other published methods, simulation results verify the performance of the proposed method in improving the AP coverage and the performance of the proposed algorithm in terms of convergence.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2018/$25.00 © 2018 SPIE
Xiao Cheng, Lei Feng, Fanqin Zhou, Lei Wei, Peng Yu, and Wenjing Li "Cost- and reliability-oriented aggregation point association in long-term evolution and passive optical network hybrid access infrastructure for smart grid neighborhood area network," Optical Engineering 57(2), 026108 (14 February 2018). https://doi.org/10.1117/1.OE.57.2.026108
Received: 17 October 2017; Accepted: 19 January 2018; Published: 14 February 2018
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KEYWORDS
Reliability

Seaborgium

Optimization (mathematics)

Network architectures

Particle swarm optimization

Curium

Networks

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