Opportunistic spectrum access for emergency response networks

沟通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，其中机会主义或认知频谱访问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）某些节点故障或超出我们控制的外部中断的能力。在本研究中，我们将研究：***-允许多通道操作的高级通道选择算法。***-为了最大限度地提高性能和最小化外部中断的可能性和影响，多个认知网络和多微微网同步和协作的必要协议共存。***-设置、控制和维护一个虚拟的公共控制通道，通过这个通道可以执行同步。***-最好地利用多个通道的路由协议，可能包括节点间的皮网跳，以尽量减少桥接节点的使用并提高性能，以及路由恢复算法，以尽量减少中断的影响。***-信道聚合和分解，以提高单个网络的性能以及多跳流量。***-安全方面，包括抵御虚假信息、敌对节点或发射机主动干扰和其他威胁的能力。***-最后，应急响应网络的体系结构和设计将结合上述最先进的技术和协议，并使用开源软件和兼容的软件定义无线电子系统实现测试平台，以验证体系结构并获得现实的性能测量

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.**