On Modeling the Psychology of Wireless Node Interactions in the Context of Internet of Things

The expectations for the Internet of Things (IoT) and its capabilities are central to a lot of research efforts at the moment. The main concern is the realization of autonomous decision-making and successful communication establishment between the resource-constrained nodes, present in such a dynamic network architecture. The focus is turned to the implementation of fast, reliable and energy-efficient methodology for the transmission of information with high data rates. This paper proposes and evaluates a model for the psychology of the wireless node interactions in the context of IoT and the selection of a partner for the most reliable communication, depending on the needs of the service required. The key functions of the proposed model are the Influence and the Behavior functions. Additional parameters are defined, which enable the incorporation of different kinds of expectations, reliability levels and service types. A flexible hybrid architecture, including a method for neighbor node and path discovery and evaluation, is defined to assess the function models for a two-node and a multi-node communication paths.