  Resource pooling in ad hoc networks deals with accumulating computing and
network resources to implement network control schemes such as routing,
congestion, traffic management, and so on. Pooling of resources can be
accomplished using the distributed and dynamic nature of ad hoc networks to
achieve collaboration between the devices. Ad hoc networks need a
resource-pooling technique that offers quick response, adaptability, and
reliability. In this context, we are proposing an opportunistic resource
pooling scheme that uses a cognitive computing model to accumulate the
resources with faster resource convergence rate, reliability, and lower
latency. The proposed scheme is implemented using the behaviors observations
beliefs cognitive model, in which the resource pooling decisions are made based
on accumulated knowledge over various behaviors exhibited by nodes in ad hoc
networks.
