Authors
Seyed Mahmood Hashemi, Jingsha He
Corresponding Author
Seyed Mahmood Hashemi
Available Online 1 March 2017.
DOI
https://doi.org/10.2991/jrnal.2017.3.4.7
Keywords
Learning Automata, Multi-Objective Optimization, Security, IoT
Abstract
The most important aspect in IoT is security. The provision of security in IoT systems is the responsibility of a trust management mechanism. However a trust management mechanism comprises a number of components, of which secure routing is vital among them. There are a number of effective parameters in secure routing which have been considered in the presented multi-objective optimization model. In this paper, Multi- Objective Learning Automata (MOLA) was used to solve secure routing problem which can simultaneously optimize all parameters. There exist three methods of training LA, and the results of the different methods were compared in this study. The proposed approach can be used with both administrator and users because their requirements are considered in a model and it is quite easy for administrator and users to comprehend.

Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).


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