DocumentCode :
654776
Title :
GEESE: A Cognitive USN Platform
Author :
Junyoung Park ; Youngjun Lee ; Kyungroul Lee ; Hanggon Kim ; Volokhov, Dmitry ; Kangbin Yim
Author_Institution :
Inf. Security Eng., Soonchunhyang Univ., Asan, South Korea
fYear :
2013
fDate :
4-6 Sept. 2013
Firstpage :
267
Lastpage :
269
Abstract :
This paper introduces a framework for a ubiquitous sensor network along with its prototype platform, as a testbed for cognitive computing and routing algorithms. As wireless sensor networks have attracted worldwide attention as an important building block of the "Internet of Things", the cognitive sensor network is currently becoming a popular research topic as an intelligently-enhanced and power-efficient dynamic network. However, related research is still at the conceptual stage, and a realized test platform is essential. The combination of a framework and platform introduced in this paper is expected to be a useful testbed for cognitive computations and dynamic routing algorithms.
Keywords :
Internet of Things; wireless sensor networks; GEESE; Internet of Things; cognitive USN platform; cognitive computing; cognitive sensor network; dynamic routing algorithms; ubiquitous sensor network; wireless sensor networks; Educational institutions; Electronic mail; Logic gates; Network topology; Routing; Topology; Wireless sensor networks; cognitive; USN; dynamic topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network-Based Information Systems (NBiS), 2013 16th International Conference on
Conference_Location :
Gwangju
Print_ISBN :
978-1-4799-2509-4
Type :
conf
DOI :
10.1109/NBiS.2013.145
Filename :
6685407
Link To Document :
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