Resilient bio-inspired Wireless Sensor Network based on Genes Regulatory Network

In a Wireless Sensor Network (WSN), nodes have limited energy and low processing capabilities and the network as a whole should act with a strategy that minimizes its energy consumption to maximize its lifetime. This paper presents a research work that aims at introducing a biological inspiration, the Gene Regulatory Network (GRN), to address this problem. We propose a GRN-based controller in each node that is adapted by the Genetic Algorithm to build an auto-organized, robust and adaptive network similar to a biological system. The classical approach to ensure redundancy in the network and make it more robust to failures can be replaced by a simple distributed strategy inspired from robust biological systems. The performed simulation shows that the approach permits to increase the lifetime and the event detection rates of each node.