DocumentCode
2213223
Title
Research on Node´s Trust Computation Based on Grey Relational Analysis theory in MANETs
Author
Hong, Liang ; Chen, Wu ; Fu, Cai ; Zhang, Guo-qing
Author_Institution
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
5389
Lastpage
5392
Abstract
The trust relationship between nodes is changed incessantly due to the dynamic and temporarily of Mobile Ad-hoc Networks (MANETs). With lack of a prior trust relationship, the reputation-system offers the reasonable effective solution to resolve the uncooperative behavior which launched by the malicious and selfish nodes in the inner MANETs. Because obtaining trust experience between nodes is still in poor way, the sample quality and quantity can´t satisfy trust evaluation requirements. This paper gives a reputation computation method based on the grey relational analysis theory in MANETs which aims to resolve the problem. The scheme, which try to provide a new way to study the node´s trust relationship in MANETs, includes extracting the node´s key features as the input multi-attribute of the model, using the theory of grey relational grade and set up an trust computation model for mixed type multi-attribute evaluation problem with time series. The analysis and computation shows this scheme is an efficient nodes trust assessment method in Mobile Ad-hoc Networks.
Keywords
ad hoc networks; grey systems; mobile radio; time series; MANET; grey relational analysis; grey relational analysis theory; mobile ad hoc networks; multiattribute evaluation problem; nodes trust computation; time series; uncooperative behavior; Ad hoc networks; Automation; Computational modeling; Computer networks; Computer science; Educational institutions; Hydrogen; Information analysis; Information science; Mobile computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.975
Filename
5454751
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