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Data broadcasting strategies for cognitive radio based AMI networks

  • Athar Ali Khan
  • Muneeb Ul Hassan
  • Mubashir Husain Rehmani
  • Xiaodong Yang
Article
  • 35 Downloads

Abstract

Communication systems play an important role in smart grid (SG). Advanced Metering Infrastructure (AMI) is hybrid architecture in smart grid comprising of smart meters and gateways. With AMI network, consumers can achieve demand side management, real time pricing, load scheduling, and upgrading of software updates through gateways to a number of smart meters without the need to visit every place. Information exchange can occur in the form of meter readings from meters to utility, from meters to AMI and from AMI to utility. Broadcasting is one possible solution in these scenarios for information exchange and cognitive radio networks (CRNs) are one possible solution for communication that provides large data transmission utilizing available spectrum resources from licensed and unlicensed bands. Broadcasting is challenging in CRNs due to licensed/primary user (PU) activity, availability of multiple channels, and channel diversity. Therefore, PU protection must be provided at all cost and data transmission should be quick and reliable for a smooth operation. In this paper, we propose two novel reliable schemes, i.e., probability-based broadcasting scheme for CR-based smart grid and area-based broadcasting scheme for CR-based smart grid specifically designed for AMI networks. Our schemes provide reliable data to smart meters with sufficient PU protection. We have compared our schemes with two flooding techniques, i.e., key policy attribute based encryption (Fadlullah et al. in IEEE Commun Mag 50:150–156, 2012) and key management scheme (Liu et al. in IEEE Trans Ind Electron 60(10):4746–4756, 2013). Simulation in NS-2 validates our schemes as a viable solution in cognitive radio-based smart grid systems.

Keywords

Advanced metering infrastructure (AMI) Broadcast Communication architecture Cognitive radio network (CRN) Smart grid (SG) 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyWah CantonmentPakistan
  2. 2.Swinburne University of TechnologyHawthornAustralia
  3. 3.Telecommunications Software and Systems GroupWaterford Institute of TechnologyCarriganore, WaterfordIreland
  4. 4.School of Electronic EngineeringXidian UniversityXi’anChina

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