Abstract
In this paper we consider a CoT (Cloud of Things) scenario where agents cooperate to perform complex tasks. Agents have to select reliable partners and, in some cases, they don’t have enough information about their peers. In order to support agents in their choice and to maximize the benefits during their cooperation, we combined several contributions. First of all, we designed a trust model which exploits the recommendations coming from the ego networks of the agents. Secondly, we propose to partition the agents in groups by exploiting trust relationships to allow agents to interact with the most reliable partners. To this aim, we designed an algorithm named DAGA (Distributed Agent Grouping Algorithm) to form agent groups by exploiting available reliability and reputation and the results obtained in a simulated scenario confirmed its potential advantages.
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Notes
- 1.
If \(a_r\) did not provided any suggestion to \(a_i\), then it is assumed that the helpfulness \(h_{i,r}\) of \(a_r\) perceived by \(a_i\) will be set to 0.5.
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Acknowledgment
This work has been developed at the Networks and Complex Systems (NeCS) Laboratory - Department of Engineering Civil, Energy, Environment and Materials (DICEAM) - University Mediterranea of Reggio Calabria.
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Fortino, G., Fotia, L., Messina, F., Rosaci, D., Sarné, G.M.L. (2019). Using Trust and “Utility” for Group Formation in the Cloud of Things. In: Montella, R., Ciaramella, A., Fortino, G., Guerrieri, A., Liotta, A. (eds) Internet and Distributed Computing Systems . IDCS 2019. Lecture Notes in Computer Science(), vol 11874. Springer, Cham. https://doi.org/10.1007/978-3-030-34914-1_11
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