Distributed Routing Protocol Based on Biologically-Inspired Attractor Selection with Active Stochastic Exploration and a Short-Term Memory.
Tomohiro NakaoJun-nosuke TeramaeNaoki WakamiyaPublished in: UIC/ATC/ScalCom (2014)
Keyphrases
- biologically inspired
- routing protocol
- short term memory
- ad hoc networks
- routing algorithm
- mobile ad hoc networks
- network topology
- wireless sensor networks
- long term memory
- energy consumption
- sensor networks
- data transmission
- multi hop
- working memory
- energy aware
- humanoid robot
- network nodes
- distributed systems
- cooperative
- end to end delay
- information processing
- peer to peer
- multi agent
- data sets
- aodv routing protocol
- computational modeling
- routing overhead
- databases
- mobile nodes
- cognitive load
- learning strategies
- mobile agents
- computational model
- multi modal
- artificial neural networks
- neural network