Optimizing wireless unicast and multicast sensor networks on the basis of evolutionary game theory.
Zhide ChenCheng QiaoLi XuWei WuPublished in: Concurr. Comput. Pract. Exp. (2014)
Keyphrases
- sensor networks
- routing algorithm
- wireless sensor networks
- wireless networks
- evolutionary game theory
- multi hop
- routing protocol
- mobile wireless
- network connectivity
- visual sensor networks
- sensor nodes
- energy efficient
- data dissemination
- mobile nodes
- wireless communication
- energy consumption
- mobile ad hoc networks
- sensor data
- data gathering
- resource constrained
- network lifetime
- wireless ad hoc networks
- end to end
- base station
- ip multicast
- network coding
- data streams
- multiagent learning
- ad hoc networks
- game theory
- natural selection
- communication cost
- wireless mesh networks
- energy efficiency
- multi agent learning
- mobile devices
- cellular networks
- mobile networks
- data transmission
- network layer
- network resources
- multi agent reinforcement learning
- wifi
- communication bandwidth
- network topology