Adaptive Cognitive System Applied on Wireless Sensor Networks Nodes Decisions

The system presented here is based on the concept of cognition applied to Wireless Sensor Networks (WSN) concerning aspects related to memory, history and decision making over network nodes tasks. The use of cognitive features in the WSN scope allows the routing protocols to make better decisions about conflicts or anomalies generated by node or route fails that probably will affect the performance network as a whole. However, with the use of cognitive aspects regarding feedback processes to make decisions, such as adjustments in memory, queue and table routes, it is possible to obtain an improvement in the data transmitted by nodes. As sequence of this work, other rules, metrics and parameters will be added to the analysis aiming at the algorithm enhancement.