Enabling Cognition through Weighted Cognitive Maps
This chapter considers weighted cognitive maps (WCMs) as a tool to provide a parametrized representation of the conflicting processes of the system. It provides computational complexity as the number of steps needed to execute the protocol, which is directly proportional to the processing time. The chapter presents a cognitive network management protocol for wireless sensor network (WSNs) based on WCM. A WCM is a graphical model used to represent dynamical systems through their underlying causal relationships. Each node in the WCM is called a concept and represents a particular process or event in the system being modeled. Several areas have been explored in WSN design: coverage and connectivity, routing, and topology management, among others. Typical WSNs have redundant nodes in order to extend their lifetime. The performance of the cognitive tool is evaluated through computer simulations.