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

本项目通过利用自然界的最佳结果，研究健壮的生物启发无线传感器网络（B-WSN）的设计。年代计算。生物体的功能稳健性通常归因于其基因调控网络（grn）的优化结构，grn通过不同基因之间的相互作用来监督细胞的适当行为。grn可以适应环境中的动态变化（即扰动），并且对网络中节点的移除/故障具有弹性。该项目将确定基于GRN的鲁棒性和容错性的内在特征，并将其应用于仿生无线传感器网络。特别是，该项目将在grn和wsn之间设计合适的映射，以形成我们的B-WSN测试平台的基础，以评估生物系统的网络级鲁棒性。B-WSN将被设计成一个硅测试平台，每个节点都可以被监控，基于grn的路由拓扑可以被修改。这样就有可能演示如何指定&amp；#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.