Title :
Traffic-Aware Routing Protocol for Cognitive Network
Author :
Xu, Yang ; Sheng, Min ; Zhang, Yan
Author_Institution :
State Key Lab. of ISN, Xidian Univ., Xi´´an, China
Abstract :
Through sensing and utilizing available network resources, cognitive network can obviously increase network performance. In this paper, a distributed on-demand routing protocol with traffic awareness (TACR) is proposed for cognitive wireless network. This routing protocol establishes the path based on the cognition and reasoning of traffic loads in a network and it also meet quality of service (QoS) requirements by introducing autonomous intelligence-Q-learning. Simulation results show that the TACR routing protocol shortens the average end-to-end delay significantly and also improves the average throughput.
Keywords :
cognitive radio; learning (artificial intelligence); quality of service; routing protocols; telecommunication computing; telecommunication traffic; autonomous intelligence-Q-learning; cognitive wireless network; distributed on-demand routing protocol; quality of service; traffic awareness; traffic-aware routing protocol; Conferences; Delay; Quality of service; Relays; Routing; Routing protocols; Simulation;
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-3573-9
Electronic_ISBN :
1090-3038
DOI :
10.1109/VETECF.2010.5594376
