A hybrid clustering routing protocol based on machine learning and graph theory for energy conservation and hole detection in wireless sensor network.
Mohammad Z. MasoudYousef JaradatIsmael JannoudMustafa A. Al SibaheePublished in: Int. J. Distributed Sens. Networks (2019)
Keyphrases
- graph theory
- energy conservation
- routing protocol
- wireless sensor networks
- energy consumption
- energy efficiency
- graph theoretic
- machine learning
- network topology
- energy efficient
- ad hoc networks
- routing algorithm
- energy saving
- sensor networks
- energy aware
- data transmission
- mobile ad hoc networks
- sensor nodes
- social network analysis
- complex networks
- multi hop
- cluster head
- data center
- wireless ad hoc networks
- cross layer
- network layer
- residual energy
- base station
- wireless communication
- anomaly detection
- mobile nodes
- key management
- biological inspired
- border gateway protocol
- combinatorial optimization
- end to end
- power consumption
- response time
- management system
- routing scheme