Computational negotiation-based edge analytics for smart objects

Abstract In this paper, we propose a computational negotiation approach on Internet of Things (IoT) system where distributed edge devices can make their own decisions for smart applications. Particularly, Artificial Intelligence (AI) techniques play an important role of edge analytics in order to adaptively improve the performance of IoT systems. In this regard, we apply several AI techniques to provide negotiation models (e.g., synchronization, competition, and cooperation) among connected objects for edge analytics. Moreover, in the context of smart city, two typical use cases on IoT applications have been presented to evaluate our proposed approach. They are i) smart traffic control and ii) smart home energy management system.

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