Socio-organism inspired model forming multi-level computational scheme for integrated IoT service architecture

An ambitious goal is to unify the existing global Internet of Things (IoT) architectures. This paper offers a concept for extending the functions of IoT objects in order to obtain an integrated, advanced IoT infrastructure. It is accomplished by composing an IoT architecture that imitates brain-neural systems of living organisms and creating an intelligent framework inspired by human-to-human socio interactions that will serve as a model for machine-to-machine interactions. By gaining an understanding of this concept, researchers will be inspired to shape this unified IoT infrastructure by multi-level computation approach.