Energy-Efficient and Delay Sensitive Routing Paths Using Mobility Prediction in Mobile WSN: Mathematical Optimization, Markov Chains, and Deep Learning Approaches.
Germán Adolfo MontoyaCarlos Andres Lozano-GarzonYezid DonosoPublished in: IEEE Access (2021)
Keyphrases
- energy efficient
- markov chain
- mobility management
- wireless sensor networks
- deep learning
- routing protocol
- data aggregation
- energy consumption
- routing algorithm
- sensor networks
- network connectivity
- end to end delay
- multi hop
- energy efficiency
- ad hoc networks
- mobile networks
- base station
- mobile nodes
- data dissemination
- data gathering
- sensor nodes
- state space
- network lifetime
- end to end
- mobile phone
- cluster head
- mobile ad hoc networks
- random walk
- data transmission
- shortest path
- machine learning
- weakly supervised
- mobile devices
- pairwise
- web pages
- response time
- peer to peer
- mobile agents
- power consumption