Opportunistic spectrum access for emergency response networks

通信是应对自然灾害和人为灾害的主要挑战。因此，应急响应网络是一个重要的应用领域，在这里，机会主义或认知频谱接入提供了许多理想的特性，包括快速的网络设置和可靠的运行，而无需固定的基础设施，以及承受(或快速恢复)某些节点的故障或我们无法控制的外部中断的能力。在本研究中，我们将研究：*-允许多信道操作的高级信道选择算法。*-几个认知网络的共存以及多微微网同步和协作的必要协议，以最大化性能并最小化外部中断的可能性和影响。*-设置、控制、和维护虚拟公共控制信道，通过该信道可以执行这种同步。*-最佳利用多个信道的路由协议，可能包括节点的微微网间跳跃，以便最小化网桥节点的使用和提高性能，以及路由恢复算法，以最小化中断的影响。*-信道聚合和解聚，以改善单个网络的性能以及多跳流量。*-安全方面，包括对虚假信息的恢复能力、恶意节点或发送器的主动干扰和其他威胁。*--最后，将采用上述最先进的技术和协议的应急响应网络的架构和设计，以及使用开放源码软件和兼容的软件定义的无线电子系统实施试验台，以验证架构并获得实际的性能测量。**

Communication is a primary challenge in responding to both natural and man-made disasters. Emergency response networks are thus an important application area where opportunistic or cognitive spectrum access offers many desirable properties, including rapid network setup and reliable operation without a fixed infrastructure and the ability to withstand (or recover quickly from) the failure of some of its nodes or external disruptions beyond our control. In this research we will study:***- Advanced channel selection algorithms that allow for multi-channel operation.***- Coexistence of several cognitive networks and the necessary protocols for multi-piconet synchronization and collaboration in order to maximize performance and minimize the likelihood and impact of external disruptions.***- The setup, control, and maintenance of a virtual common control channel through which this synchronization can be performed.***- Routing protocols that make the best use of multiple channels, possibly including inter-piconet hopping of nodes in order to minimize the use of bridge nodes and improve performance, and route recovery algorithms to minimize the impact of disruptions.***- Channel aggregation and disaggregation to improve the performance of individual networks as well as multi-hop traffic.***- Security aspects including resilience to false information, active jamming by hostile nodes or transmitters, and other threats.***- Finally, the architecture and design of emergency response networks that will incorporate state-of-the art techniques and protocols described above, and implementation of a testbed using open source software and compatible software-defined radio subsystems to validate the architecture and obtain realistic performance measurements.**