Data broadcasting strategies for cognitive radio based AMI networks

Khan, Athar Ali and Ul Hassan, Muneeb and Rehmani, Mubashir Husain and Yang, Xiaodong (2020) Data broadcasting strategies for cognitive radio based AMI networks. Wireless Networks, 26 (1). pp. 145-164. ISSN 1022-0038

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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.

Item Type: Article
Additional Information: Publisher Copyright: © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1710
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Depositing User: Admin SSL
Date Deposited: 19 Oct 2022 23:11
Last Modified: 06 Aug 2023 22:25

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