International Journal of Advanced Research in Computer Science & Technology (IJARCST)
In this paper, the authors consider a Mobile Ad hoc NETwork (MANET) as a socio-technical system with human-machine-characteristics. From this perspective, it is argued that a cognitive MANET will need certain human behaviors if it is to acquire intelligence reminiscence of a human social system. To achieve this, the spatial relationships among the MANET nodes require algorithms to process the node actions in order to create robust system-level behaviors from those relationships. They develop a technique known as KANA (a Knowledge Action Network for Agent) for use in developing such intelligence behaviors. KANA has two primary knowledge elements: a network- and a fuzzy matrix-representation of the nodes and edges in a MANET.