In wireless networks, context awareness and intelligence are capabilities that enable each
host to observe, learn, and respond to its complex and dynamic operating environment in an …

The dynamicity of distributed wireless networks caused by node mobility, dynamic network
topology, and others has been a major challenge to routing in such networks. In the …

Wireless sensor network (WSN) consists of a large number of sensors and sink nodes which
are used to monitor events or environmental parameters, such as movement, temperature …

Driven by the soaring traffic demand and the growing diversity of mobile services, wireless
networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …

The framework of cognitive wireless networks is expected to endow the wireless devices
with the cognition-intelligence ability with which they can efficiently learn and respond to the …

Cognitive Radio (CR) is a next-generation wireless communication system that enables
unlicensed users to exploit underutilized licensed spectrum to optimize the utilization of the …

Reinforcement learning (RL), which is a class of machine learning, provides a framework by
which a system can learn from its previous interactions with its environment to efficiently …

Future wireless communication networks tend to be intelligentized to accomplish the
missions that cannot be preprogrammed. In the new intelligent communication systems …

Current data networking technology limits a network's ability to adapt, often resulting in sub-
optimal performance. Limited in state, scope, and response mechanisms, the network …

Cognitive Radio (CR) enables an unlicensed user to change its transmission and reception
parameters adaptively according to spectrum availability in a wide range of licensed …