Title :
Intelligent computation based network path situation assessment scheme
Author :
Qiu, Gongan ; Zhang, Guoan ; Xu, Chen
Author_Institution :
Sch. of Electron. & Inf., Nantong Univ., Nantong, China
Abstract :
The paper proposed a network path situation assessment scheme, in which the basic probability assignment function of the local status and the stale path status could be achieved using fuzzy set. And the metrics situation set became the evidences of the path situation decision. Thus, the path situation set would be built from the fused evidences by evidence theory. The situation with the maximal confidence was regarded as the quasi-real-time path status.
Keywords :
computer networks; fuzzy set theory; probability; evidence theory; fuzzy set; intelligent computation; maximal confidence; metrics situation set; network path situation assessment; path situation decision; probability assignment function; quasireal-time path status; stale path status; Accuracy; Bandwidth; Computational modeling; Measurement; Network topology; Next generation networking; Quality of service; Multi-service networks; evidence theory; fuzzy theory; path situation assessment;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584116