A supervised learning approach for routing optimizations in wireless sensor networks.
Yong WangMargaret MartonosiLi-Shiuan PehPublished in: REALMAN@MobiHoc (2006)
Keyphrases
- wireless sensor networks
- supervised learning
- routing algorithm
- routing protocol
- biological inspired
- data aggregation
- routing scheme
- energy aware
- network lifetime
- energy consumption
- energy efficient
- sensor networks
- ad hoc networks
- transmission range
- multi hop
- sensor nodes
- unsupervised learning
- mobile ad hoc networks
- load distribution
- statistical learning
- data transmission
- node selection
- training data
- topology control
- network topology
- residual energy
- data gathering
- learning tasks
- base station
- energy efficiency
- learning algorithm
- routing problem
- secure routing
- semi supervised learning
- environmental monitoring
- multiple instance learning
- reinforcement learning
- active learning
- semi supervised
- training set
- supervised machine learning
- reduce the energy consumption
- machine learning
- multipath
- mobile nodes
- maximum lifetime
- malicious nodes
- labeled data
- shortest path
- key management
- wireless communication
- cluster head
- wireless sensor
- network coding
- network connectivity
- body sensor networks