Distributed probability density based multi-objective routing for Opp-IoT networks enabled by machine learning.
S. P. Ajith KumarSiddhant BanyalKartik Krishna BhardwajHardeo Kumar ThakurDeepak Kumar SharmaPublished in: J. Intell. Fuzzy Syst. (2022)
Keyphrases
- multi objective
- machine learning
- network nodes
- evolutionary algorithm
- network topologies
- multi objective optimization
- computer networks
- multiple objectives
- peer to peer networks
- heterogeneous networks
- distributed systems
- wide area network
- ad hoc networks
- interconnection networks
- optimization algorithm
- mobile agents
- distributed environment
- nsga ii
- particle swarm optimization
- probability distribution
- learning algorithm
- wireless ad hoc networks
- routing algorithm
- query routing
- path selection
- data mining
- neural network
- genetic algorithm
- clustering algorithm
- anomaly detection
- multi agent
- management system
- network structure
- decision trees
- traffic engineering
- conflicting objectives
- routing problem
- optimization problems
- clustering method
- knowledge discovery
- data analysis
- network design
- density based clustering
- objective function
- communication cost
- internet protocol
- quality of service
- end to end
- multi objective optimization problems
- switched networks
- packet forwarding