2011
Chen, P. -Y.; Karyotis, V.; Papavassiliou, S.; Chen, K. -C.
Topology control in multi-channel cognitive radio networks with non-uniform node arrangements Conference
Corfu, 2011, ISSN: 15301346, (cited By 4; Conference of 16th IEEE Symposium on Computers and Communications, ISCC'11 ; Conference Date: 28 June 2011 Through 1 July 2011; Conference Code:86395).
Abstract | Links | BibTeX | Tags: Cognitive systems; Computer simulation; Radio systems; Topology, Radio
@conference{Chen20111033,
title = {Topology control in multi-channel cognitive radio networks with non-uniform node arrangements},
author = {P. -Y. Chen and V. Karyotis and S. Papavassiliou and K. -C. Chen},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052726013&doi=10.1109%2fISCC.2011.5983978&partnerID=40&md5=41185dafcd379a147857d49251d7d3fd},
doi = {10.1109/ISCC.2011.5983978},
issn = {15301346},
year = {2011},
date = {2011-01-01},
journal = {Proceedings - IEEE Symposium on Computers and Communications},
pages = {1033-1037},
address = {Corfu},
abstract = {Cognitive Radio (CR) techniques have been developed to allow ad hoc users to communicate with each other by exploiting the licensed bands of primary systems without disturbing the entrenched users. In this work, we take current approaches one step ahead and combine Topology Control (TC) techniques with CR technology, in order to improve operation and performance, even under the stringent and non-uniform arrangements of CR networks (CRNs). We propose a novel node-degree based Topology Control approach, denoted by Enhanced Cognitive Nearest Random Neighbor (e-CNRN), for multi-channel CRNs, aiming at maintaining network connectivity and adapting to environmental changes such as primary user activity and channel conditions. Compared with TC protocols in conventional ad hoc networks, e-CNRN requires only minimal local information and is specially designed to perform under non-uniform node arrangements, rendering e-CNRN a generic and robust distributed TC approach, especially suitable for multichannel CRNs as well. In addition, we leverage e-CNRN for distributively establishing a virtual common control channel for multi-channel CRNs. Through analysis and simulations we validate that e-CNRN guarantees network connectivity, while achieving efficient power control. © 2011 IEEE.},
note = {cited By 4; Conference of 16th IEEE Symposium on Computers and Communications, ISCC'11 ; Conference Date: 28 June 2011 Through 1 July 2011; Conference Code:86395},
keywords = {Cognitive systems; Computer simulation; Radio systems; Topology, Radio},
pubstate = {published},
tppubtype = {conference}
}
Cognitive Radio (CR) techniques have been developed to allow ad hoc users to communicate with each other by exploiting the licensed bands of primary systems without disturbing the entrenched users. In this work, we take current approaches one step ahead and combine Topology Control (TC) techniques with CR technology, in order to improve operation and performance, even under the stringent and non-uniform arrangements of CR networks (CRNs). We propose a novel node-degree based Topology Control approach, denoted by Enhanced Cognitive Nearest Random Neighbor (e-CNRN), for multi-channel CRNs, aiming at maintaining network connectivity and adapting to environmental changes such as primary user activity and channel conditions. Compared with TC protocols in conventional ad hoc networks, e-CNRN requires only minimal local information and is specially designed to perform under non-uniform node arrangements, rendering e-CNRN a generic and robust distributed TC approach, especially suitable for multichannel CRNs as well. In addition, we leverage e-CNRN for distributively establishing a virtual common control channel for multi-channel CRNs. Through analysis and simulations we validate that e-CNRN guarantees network connectivity, while achieving efficient power control. © 2011 IEEE.