Resource pooling in ad hoc networks deals with accumulating computing andnetwork resources to implement network control schemes such as routing,congestion, traffic management, and so on. Pooling of resources can beaccomplished using the distributed and dynamic nature of ad hoc networks toachieve collaboration between the devices. Ad hoc networks need aresource-pooling technique that offers quick response, adaptability, andreliability. In this context, we are proposing an opportunistic resourcepooling scheme that uses a cognitive computing model to accumulate theresources with faster resource convergence rate, reliability, and lowerlatency. The proposed scheme is implemented using the behaviors observationsbeliefs cognitive model, in which the resource pooling decisions are made basedon accumulated knowledge over various behaviors exhibited by nodes in ad hocnetworks.
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机译：自组织网络中的资源池处理累积的计算和网络资源，以实现诸如路由，拥塞，流量管理等网络控制方案。可以使用ad hoc网络的分布式和动态特性来实现资源池，以实现设备之间的协作。 Ad hoc网络需要使用资源池化技术，以提供快速响应，适应性和可靠性。在这种情况下，我们提出了一种机会主义资源池化方案，该方案使用认知计算模型以更快的资源收敛速度，可靠性和较低的延迟来积累资源。所提出的方案是使用行为观察信念认知模型实现的，其中基于对自组织网络中节点所表现出的各种行为的累积知识来做出资源池化决策。
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