Quality of Service in Wireless Sensor Networks using Cellular Learning Automata

Wireless Sensor Networks (WSNs) have different Quality of Service (QoS) parameters from those of traditional networks. Several considerations utilized for evaluating QoS include appropriate number of active nodes, network lifetime, network coverage, and resource utilization. One of the features of Cellular Learning Automata (CLA), besides its simple learning structure, is learning in distributed and multi-hop environments with limited...