Abstract
The new trend of the Internet of Things brings a whole breed of opportunities and applications. Within it, a massive amount of data coming from heterogeneous sources travel in a bidirectional way. Data aggregation is one of the most efficient ways to mitigate Big Data. However, using one type of aggregation within a net-work at all times is not an optimal option. Various network situations require different aggregation functions at different times. We introduce a policy-based data aggregation framework that can handle this issue by referring to a policy when executing the aggregation strategy. An agreement process is used to reach consensus about the aggregation function that is to be applied on the network (or part of it) at a specific time. Participants are to negotiate the policy terms based on the current network status and the nature of the coming requests. The framework represents a promising scope for fully automated IoT.
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Al-Doghman, F., Chaczko, Z., Ajayan, A.R. (2020). Policy-Based Consensus Data Aggregation for the Internet of Things. In: Klempous, R., Nikodem, J. (eds) Smart Innovations in Engineering and Technology. ICACON APCASE 2017 2017. Topics in Intelligent Engineering and Informatics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-32861-0_8
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DOI: https://doi.org/10.1007/978-3-030-32861-0_8
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