A Distributed Dynamic Channel Assignment and Routing Framework for Cognitive Sensor Systems

Abstract

SUMMARYWith the increase of the number of wireless sensing or metering devices, the collection of sensing data using wireless communication becomes an important part of a smart grid system. Cognitive radio technology can be used to facilitate the deployment of smart grid systems. In this paper, we propose a data collection and dissemination framework for cognitive radio smart grid systems to fully utilize wireless resources while maintaining a reliably connected and efficient topology for each channel. In the proposed framework, each sensor node selects a channel considering the primary user (PU) channel utilization and network connectivity. In this way, the data collection and dissemination can be performed with a high reliability and short delay while avoiding a harmful effect on primary users. We use computer simulations to evaluate the proposed framework.

Backup Routing Algorithm Based on Delay Constraint in Cognitive Radio Sensor Networks

“…A spectrum-aware cluster-based energy-efficient multimedia (SCEEM) routing protocol for CRSNs was proposed [9], which jointly overcomes the formidable limitations of energy and spectrum to support the quality of service and energy-efficient routing by limiting the participating nodes in route establishment. Data collection and dissemination framework was proposed in [12], which can fully utilize wireless resources while maintaining a reliably connected and efficient topology for each channel. In the proposed framework, each sensor node selects a channel considering the primary user (PU) channel utilization and network connectivity.…”

“…For example, in the spectrum of 20 MHz~3 GHz, when the frequency band of the transceiver change is 10 MHz, the switching delay is 10 ms. Therefore, the channel switching delay within the node cannot be ignored [12, 13, 41].…”

“…Recently a variety of techniques are developing to promote the development of CR in different application scenarios [5–8], such as wireless local area network (WLAN) based air interface standards (IEEE 802.22), IEEE 802.16, and cognitive radio sensor networks (CRSNs) [9–11]. CRSNs are the potential next generation wireless sensor networks (WSNs), which can mitigate overcrowded unlicensed spectrum bands by opportunistically using temporally unoccupied unlicensed and licensed spectrum bands [12–14]. The notable features of CRSN are flexible, intelligent, and reconfigurable [15–18].…”