Overhead-Controlled Routing in WSNs with Reinforcement Learning.
Leonardo R. S. CamposRodrigo D. OliveiraJorge Dantas de MeloAdrião Duarte Dória NetoPublished in: IDEAL (2012)
Keyphrases
- reinforcement learning
- routing algorithm
- wireless sensor networks
- routing protocol
- secure routing
- energy aware
- load distribution
- low overhead
- data aggregation
- routing scheme
- ad hoc networks
- energy consumption
- function approximation
- network topology
- shortest path
- load balancing
- biological inspired
- network lifetime
- energy efficient
- sensor nodes
- routing problem
- multipath
- sensor networks
- multi hop
- resource limitations
- resource constrained
- reinforcement learning algorithms
- temporal difference
- environmental monitoring
- reduce the energy consumption
- data transmission
- data gathering
- network layer
- wireless ad hoc networks
- residual energy
- mac protocol
- state space
- key management
- dynamic programming
- response time
- energy saving
- mobile ad hoc networks
- optimal policy
- energy efficiency
- base station
- multi agent
- markov decision processes
- learning algorithm
- wireless networks
- learning process
- energy conservation
- network coding
- limited resources
- wireless mesh networks
- round robin
- high performance computing
- mobile nodes