Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing.
Wenjing GuoCairong YanTing LuPublished in: Int. J. Distributed Sens. Networks (2019)
Keyphrases
- wireless sensor networks
- network lifetime
- reinforcement learning
- routing algorithm
- maximum lifetime
- energy consumption
- routing protocol
- data gathering
- sensor networks
- energy efficiency
- residual energy
- sensor nodes
- energy aware
- data aggregation
- multi hop
- energy efficient
- ad hoc networks
- base station
- wireless ad hoc networks
- biological inspired
- reduce the energy consumption
- cluster head
- routing scheme
- function approximation
- load distribution
- reinforcement learning algorithms
- wireless communication
- network topology
- environmental monitoring
- learning algorithm
- model free
- data transmission
- optimal policy
- network connectivity
- transmission range
- exploration exploitation tradeoff
- mobile ad hoc networks
- power consumption
- shortest path
- state space
- multi agent
- mobile nodes
- temporal difference
- topology control
- battery powered
- network topologies
- intermediate nodes
- mobile users
- data center
- life span
- secure routing
- data streams