Constructing virtual IoT network topologies with a brain-inspired connectivity model

Wireless sensor networks will be one of the fundamental technologies for realizing the future Internet of Things (IoT) environment. In IoT, the number of connected devices is expected to increase drastically and there will be a wide variety of requirements for application services, which will lead to frequent modifications or construction/destruction of topologies. In such situations, it is essential to know how power-saving, low-latency, and highly efficient IoT network topologies can be constructed. In this paper, we take inspiration from the brain's network of interconnecting neurons is known for its efficient properties. We propose a virtual IoT network construction method based on the Exponential Distance Rule (EDR) model that describes the connection structure of the areas in the cerebral cortex. Since the original EDR model deals with large-scale networks with an enormous number of neurons and generates links between nodes considering physical distance constraints, the virtual IoT network constructed by the proposed method is able to achieve high scalability, low latency, and high communication efficiency at a relatively low cost.

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