A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances.
Jianhui MouKaizhou GaoPeiyong DuanJunqing LiAkhil GargRohit SharmaPublished in: IEEE Trans. Intell. Transp. Syst. (2023)
Keyphrases
- energy efficient
- scheduling problem
- wireless sensor networks
- energy consumption
- sensor networks
- energy efficiency
- data aggregation
- multi hop
- base station
- data gathering
- data mining
- flowshop
- np hard
- data dissemination
- low overhead
- data sets
- multi core architecture
- power consumption
- routing protocol
- data transmission
- routing algorithm
- response time