Brain-inspired method for constructing a robust virtual wireless sensor network

In future “Internet of Things” environment, wireless sensor networks (WSNs) are expected to play a crucial part by integrating them into a part of infrastructure. For this, large-scale WSNs comprising heterogeneous devices from multiple vendors should be feasible. Virtualization in WSNs is of great significance as a way to effect integration of WSNs. In this paper, we propose a method for constructing a robust virtual wireless sensor network; this method is inspired by human brain networks, which are known for their robustness and high efficiency. Through simulation experiments, we show that our proposed method has high robust connectivity and robust average path length.