Reliable Energy-Efficient Uplink Transmission for Neighborhood Area Networks in Smart Grid
Abstract
In the smart grid, a neighborhood area network (NAN) is a part of the cyber-physical system that achieves two-way communications between smart meters and meter data management system (MDMS). In this paper, we study the energy efficiency issue for uplink transmissions from NAN gateways to the concentrator connecting the MDMS. Classical power control schemes targeting pure bits/joule energy efficiency for multiaccess wireless networks do not fit in well due to the stringent data rate reliability requirement caused by the massive amount of smart meter data. Therefore, we propose a hierarchical uplink transmission power control scheme for a NAN using a two-level Stackelberg game approach. Focusing on linear receivers, the Stackelberg equilibrium for the proposed game is derived. Numerical results demonstrate that our proposed scheme achieves both data rate reliability and energy efficiency.
Recommended Citation
F. Ye et al., "Reliable Energy-Efficient Uplink Transmission for Neighborhood Area Networks in Smart Grid," IEEE Transactions on Smart Grid, vol. 6, no. 5, pp. 2179 - 2188, Institute of Electrical and Electronics Engineers (IEEE), Sep 2015.
The definitive version is available at https://doi.org/10.1109/TSG.2015.2392130
Department(s)
Computer Science
Keywords and Phrases
Advanced metering infrastructures (AMI); Electric power transmission networks; Embedded systems; Energy efficiency; Information management; Power control; Smart meters; Sodium compounds; Cyber physical systems (CPSs); Cyber-physical systems (CPS); Meter data management; Power control schemes; Reliability requirements; Smart grid; Stackelberg equilibrium; Two way communications; Smart power grids
International Standard Serial Number (ISSN)
1949-3053; 1949-3061
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2015
Comments
This work was supported by the National Science Foundation under Grant CNS-1423348 and Grant CNS-1423408. Paper no. TSG-00409-2014.