Complex and adaptive networks: A survey on performance enhancements attributes

Abstract

Complex adaptive network (CANs) is the collection of the interacting agents. These agents work under the influence of each other. One change in the behavior of an agent in a CAN can lead to the change in whole network. CANs are dynamic network as they have ability to adapt and grow in its environment. This paper survey different aspects of CANs like security, synchronization, agent base modeling and architecture of CANs. We group different attributes and show how team work among the nodes or agents in a CAN can lead to a larger adaptation in a network.