Biologically Inspired Wireless Sensor Networking

Gene regulatory networks (GRNs) involve the interactions of proteins in collections of DNA segments. Understanding GRNs has many applications in both biological and computational sciences, ranging from a potential cure for cancer to solving problems incurred by maintaining large scale sensor networks. The study of the GRNs has boomed over the past several years, as DNA sequencing technology has progressed, unlocking the potential of understanding the GRN by analyzing the regulatory process more in-depth. The objective of this research is to analyze the graph representations of E. coli and yeast GRNs for the purpose of creating similar scale-free networks able to be used for robust, efficient wireless sensor networking