Title :
A channel assignment algorithm for Cognitive Radio wireless sensor networks
Author :
Askari, M. ; Kavian, Yousef S. ; Kaabi, H. ; Rashvand, H.F.
Author_Institution :
Fac. of Eng., Shahid Chamran Univ., Ahvaz, Iran
Abstract :
Cognitive Radio (CR) is a promising technology for improving spectrum utilization in wireless computer networks. Cognitive radio has the ability to sense the spectrum, decide the vacant bands and use of these available bands in an opportunistic approach. Cognitive Radios can be used in both licensed and unlicensed bands. In this case, the licensed wireless users (Primary Users) are a priority for using allocated band. Cognitive radio users (Secondary Users) are allowed to access the channel, if they do not cause interference in the performance of PU. So, Channel management is an important factor on system performance. In cognitive radio sensor network (CRSN), a wireless sensor network (SU) has been merged with a primary system such as mobile network as a cognitive scheme. Because of power constraints in wireless sensor network (WSN), channel management algorithms should be designed for decreasing power consumption. In this paper, a novel channel assignment algorithm for cognitive radio sensor network is proposed and its performance on two power consuming functions include spectrum handoff and users collision is explored.
Keywords :
channel allocation; cognitive radio; mobile radio; power consumption; radiofrequency interference; wireless sensor networks; PU performance; band allocation; channel assignment algorithm; channel management algorithms; cognitive radio users; cognitive radio wireless sensor networks; licensed bands; licensed wireless users; opportunistic approach; power constraints; power consuming functions; secondary users; spectrum handoff; spectrum utilization; unlicensed bands; users collision; vacant bands; wireless computer networks; Channel Assignment; Code assignment; Cognitive radio; Power Management; Wireless Sensor network;
Conference_Titel :
Wireless Sensor Systems (WSS 2012), IET Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-625-3
DOI :
10.1049/cp.2012.0583