Scalability Evaluation of Trust and Reputation Models for Wireless Sensor Networks

Year 2019, Volume: 8 Issue: 4, 114 - 121, 01.12.2019

Gürkan Tuna Resul Das

Abstract

A wireless sensor network consists of distributed sensor nodes tomonitorphysical and/or environmental conditions, such assound, motion, temperature, pressure or pollutants and to cooperatively deliver their data through the network infrastructure to a main location, generally called sink. Inspite of its several advantages, due to its inherit features, wireless sensor networks are open to many security risks. Although conventional data security solutions are effective for other types of networks, they are not effectively applicable to wireless sensor networks. Therefore, trust and reputation management approaches have been proposed as an alternative. In a wireless sensor network, trust and reputation management enables a node to make their own opinion about how trustworthy or reputable another node is. This way, it reduces the opportunities of being defrauded and augments the probability of a successful transaction. It is known that although in the literature there are many trust and reputation models, stil there is a lack of state-of-the-art models, standart data structures and application programming interfaces, generic testing tools, and security threats analysis. Accordingly, in this study a contribution to the last one is made and the effectiveness of two well-known trust and reputation models proposed for wireless sensor networks, namely PeerTrust and PowerTrust, is evaluated in terms of accuracy, path length and power consumption.

Keywords

Wireless sensor network, Trust, Reputation, PeerTrust, PowerTrust, Scalability

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