Latency and Lifetime Enhancements in Industrial Wireless Sensor Networks: A Q-Learning Approach for Graph Routing.
Gustavo KünzelLeandro Soares IndrusiakCarlos Eduardo PereiraPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- wireless sensor networks
- network lifetime
- energy consumption
- routing algorithm
- maximum lifetime
- routing protocol
- residual energy
- data aggregation
- data gathering
- sensor networks
- sensor nodes
- biological inspired
- routing scheme
- reduce the energy consumption
- energy efficient
- multi hop
- energy aware
- graph theory
- energy efficiency
- base station
- load balance
- ad hoc networks
- wireless ad hoc networks
- topology control
- wireless communication
- graph representation
- multi agent
- reinforcement learning
- cluster head
- graph structure
- state space
- cooperative
- learning algorithm
- transmission range
- data transmission
- function approximation
- random walk
- industrial applications
- weighted graph
- source node
- node selection
- structured data
- secure routing
- dynamic programming
- response time
- sensor data
- machine learning
- model free
- malicious nodes
- load balancing
- sink node
- stochastic approximation
- bipartite graph
- low latency
- random graphs