Title: Distributed cooperative spectrum sensing with wireless sensor network cluster architecture for smart grid communications
Authors: Ines Hosni; Noureddine Hamdi
Addresses: Communication System Laboratory Sys'Com, National Engineering School of Tunis, University Tunis El Manar, Tunis 1006, Tunisia ' Communication System Laboratory Sys'Com, National Engineering School of Tunis, University Tunis El Manar, Tunis 1006, Tunisia
Abstract: Smart grid (SG) is widely considered as the next generation power grid. Recently, wireless sensor networks (WSNs) have shown its advantages for SG by achieving low-power transmissions. However, SG communication technologies are subjects to ineffective spectrum allocation issues. Cognitive radio wireless sensor network (CRWSN) has been identified as a new technique for SG to face these challenges. CRWSN is a new research paradigm where WSN and cognitive radio are combined. In this paper, WSN with cluster tree topology is proposed as a compatible choice for SG design. We introduce CRWSN in to SG using cluster tree topology to improve the sensing performance and solve the rarity of spectrum by opening the underused licensed bands to secondary users. We adopt cluster distributed cooperative sensing as a method of spectrum sensing. We later evaluate the performance of this method under two distributed policies; OR and AND rules based on energy detection.
Keywords: SG; smart grid; WSN; wireless sensor networks; cluster-tree topology; CRWSN; cognitive radio wireless sensor networks; distributed cooperative sensing; OR/AND rules; detection probability.
International Journal of Sensor Networks, 2017 Vol.24 No.2, pp.118 - 124
Received: 02 Mar 2015
Accepted: 24 Jun 2015
Published online: 20 Jun 2017 *