Abstract
The research in industry and academia on smart grids is predominantly focused on the regulation of generated power and management of its consumption. Because transmission of bulk-generated power to the consumer is immensely reliant on secure and efficient transmission grids, comprising huge electrical and mechanical assets spanning a vast geographic area, there is an impending need to focus on the transmission grids as well. Despite the challenges in wireless technologies for SGs, cognitive radio networks are considered promising for provisioning of communications services to SGs. In this paper, first, we present an IEEE 802.22 wireless regional area network cognitive radio-based network model for smart monitoring of transmission lines. Then, for a prolonged lifetime of battery finite monitoring network, we formulate the spectrum resource allocation problem as an energy efficiency maximization problem, which is a nonlinear integer programming problem. To solve this problem in an easier way, we propose an energy-efficient resource-assignment scheme based on the Hungarian method. Performance analysis shows that, compared to a pure opportunistic assignment scheme with a throughput maximization objective and compared to a random scheme, the proposed scheme results in an enhanced lifetime while consuming less battery energy without compromising throughput performance.
Highlights
The concept of the smart grid (SG) is to insert adequate intelligence to augment control of the traditional electric grid and make it more autonomous
We presented the performance of a maximum rate heuristic assignment scheme (MRHAS) as a yardstick to compare the performance of our proposed scheme (ECAS)
We presented an 802.22 CR wireless regional area network (WRAN)-based smart grid system for monitoring the power transmission line status that runs through terrain with hard-hitting natural and artificial threats
Summary
The concept of the smart grid (SG) is to insert adequate intelligence to augment control of the traditional electric grid and make it more autonomous. Prior efforts in power transmission line monitoring incur huge cost and face service coverage issues and do not consider the efficient utilization of limited battery energy of the wireless nodes in their design criteria. Contrary to prior proposed technologies, we propose an energy-efficient two-level power transmission line monitoring system, based on cognitive radio IEEE 802.22 wireless regional area network (WRAN). To the best of our knowledge, this paper is the first CR-based work in power transmission line monitoring aiming at improvement in energy efficiency on channel assignment, resulting in an extended lifetime of the monitoring network.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
