TY - GEN
T1 - Adapting sensing and transmission times to improve throughput in cognitive radios ad hoc networks
AU - Bapat, Namrata
AU - Syrotiuk, Violet
PY - 2012
Y1 - 2012
N2 - Cognitive radios (CRs) can dynamically reconfigure their transmission and/or reception parameters. In a cognitive radio ad hoc network (CRAHN) setting, such reconfiguration is challenging due to the lack of centralized control and fixed infrastructure. In this paper, we propose a method to improve the throughput of secondary users (SUs) in a CRAHN by dynamically adapting their sensing and transmission times. First, we conduct a designed experiment on five CR parameters in the ns-2 network simulator with extensions to support CRAHNs. A statistical analysis of the resulting data attributes the contribution of each parameter, and interactions among them, to SU throughput. Based on these results, we propose for each SU to measure its instantaneous throughput and adapt its sensing and transmission times according to the predicted throughput. Simulation results demonstrate that SUs achieve higher throughput by adapting their sensing and transmission times than by using default static values for these parameters.
AB - Cognitive radios (CRs) can dynamically reconfigure their transmission and/or reception parameters. In a cognitive radio ad hoc network (CRAHN) setting, such reconfiguration is challenging due to the lack of centralized control and fixed infrastructure. In this paper, we propose a method to improve the throughput of secondary users (SUs) in a CRAHN by dynamically adapting their sensing and transmission times. First, we conduct a designed experiment on five CR parameters in the ns-2 network simulator with extensions to support CRAHNs. A statistical analysis of the resulting data attributes the contribution of each parameter, and interactions among them, to SU throughput. Based on these results, we propose for each SU to measure its instantaneous throughput and adapt its sensing and transmission times according to the predicted throughput. Simulation results demonstrate that SUs achieve higher throughput by adapting their sensing and transmission times than by using default static values for these parameters.
KW - Adaptation
KW - Cognitive Radios
KW - Data Analysis
UR - http://www.scopus.com/inward/record.url?scp=84866426375&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866426375&partnerID=8YFLogxK
U2 - 10.1109/WoWMoM.2012.6263752
DO - 10.1109/WoWMoM.2012.6263752
M3 - Conference contribution
AN - SCOPUS:84866426375
SN - 9781467312394
T3 - 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012 - Digital Proceedings
BT - 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012 - Digital Proceedings
T2 - 13th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012
Y2 - 25 June 2012 through 28 June 2012
ER -