DocumentCode :
3289364
Title :
Cognitive Adaptive Radio Teams
Author :
Lau, Roslyn ; Demers, S. ; L, Yibei ; Siegel, B. ; Voliset, Einar ; Birman, Kenneth ; van Renesse, R. ; Shrobe, H. ; Lester Foster, Jonathan
Author_Institution :
Telcordia Technol., Inc., Piscataway, NJ
Volume :
3
fYear :
2006
fDate :
28-28 Sept. 2006
Firstpage :
842
Lastpage :
847
Abstract :
Cognitive adaptive radio teams (CART) is a new platform developed by our group in support of collaborative mapping of complex communications-challenged environments, for example in support of search and rescue operations in environments lacking an adequate communications infrastructure. Experience during the 9/11 terrorist attacks, Asian tsunami, Kashmir earthquake, and post-Katrina Gulf Coast make it clear that rescue workers cannot count upon computer networks or even cell telephone support in the immediate aftermath of such events. Similarly, military urban warfare operations must also be conducted in locations lacking communication infrastructure. CART combines state-of-the-art ad-hoc networking technology with machine learning and prediction algorithms to offer new capabilities under these very difficult conditions
Keywords :
ad hoc networks; cognitive radio; learning (artificial intelligence); cognitive adaptive radio teams; collaborative mapping; computer networks; machine learning; military urban warfare operations; prediction algorithms; search and rescue operations; state-of-the-art ad-hoc networking technology; Collaborative work; Computer networks; Earthquakes; Machine learning; Machine learning algorithms; Military communication; Military computing; Telephony; Terrorism; Tsunami;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor and Ad Hoc Communications and Networks, 2006. SECON '06. 2006 3rd Annual IEEE Communications Society on
Conference_Location :
Reston, VA
Print_ISBN :
1-4244-0626-9
Type :
conf
DOI :
10.1109/SAHCN.2006.288570
Filename :
4068379
Link To Document :
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