CSR: EAGER: Exploring Biological Network Robustness using Bio-Inspired Wireless Sensor Networks: A Novel Paradigm for Systems Research

本项目研究设计强大的生物启发的无线传感器网络（B-WSN），利用最佳的结果，从自然？的计算。生物体的功能稳健性通常归因于其基因调控网络（GRNs）的优化结构，该网络通过不同基因之间的相互作用监督细胞的适当行为。GRN可以适应动态变化（即，扰动），并且对网络中节点的移除/故障具有弹性。这个项目将确定GRN的鲁棒性和容错性的内在特征，并将其应用于生物启发的无线传感器网络。特别是，该项目将设计合适的映射之间的GRNs和无线传感器网络，形成我们的B-WSN测试床的基础，以评估网络级的生物系统的鲁棒性。该B-WSN将被设计为一个在硅片测试床，每个节点可以被监控和基于GRN的路由拓扑结构可以被修改，以便有可能证明如何speci #64257;c拓扑方面有助于复杂系统的鲁棒性。

This project studies the design of robust bio-inspired Wireless Sensor Networks (B-WSN) by leveraging optimal results from nature?s computation. Functional robustness of living organisms is often attributed to the optimized structures of their gene regulatory networks (GRNs), which oversee the proper behavior of cells through interactions among different genes. GRNs can adapt to dynamic changes (i.e., perturbations) in the environment, and are resilient to the removal/malfunction of nodes in the network. This project will identify the features intrinsic to GRN based robustness and fault-tolerance and apply them to bio-inspired wireless sensor networks. In particular, teh project will devise suitable mapping between GRNs and WSNs to form the basis of our B-WSN testbed to assess network level robustness of biological systems. The B-WSN will be designed to act as an in silico testbed, where each node can be monitored and GRN-based routing topologies can be modified so that it is possible to demonstrate how specific topological aspects contribute to the robustness of complex systems.