Bio-Inspired Multi-Objective Algorithms Applied on the Optimisation of the AODV's Routing Recovery Mechanism
Advances in electronic systems, wireless communication protocols, and intelligent devices
allowed the development of networks of mobile devices such as cars, drones, and robots …
allowed the development of networks of mobile devices such as cars, drones, and robots …
[PDF][PDF] QMRNB: design of an efficient Q-learning model to improve routing efficiency of UAV networks via bioinspired optimizations
A Vashisth, B Singh, RS Batth - Int J Comput Netw Appl (IJCNA), 2023 - academia.edu
The design of efficient routing strategies for Unmanned Aerial Vehicle (UAV) Networks is a
multidomain task that involves analysis of node-level & network-level parameters, and …
multidomain task that involves analysis of node-level & network-level parameters, and …
HyPE: Online Hybrid Pseudo-Bayesian Estimation Method for S-ALOHA-Based Tactical FANETs
J Jeon, J Lee, T Kim, J Ahn, Y You, M Lee, H Yu… - IEEE …, 2024 - ieeexplore.ieee.org
Significant challenges are involved in tactical flying ad-hoc network (FANET) missions
because network environments are very dynamic. In addition, energy-efficient network …
because network environments are very dynamic. In addition, energy-efficient network …
[PDF][PDF] Bio-Inspired Multi-Objective Algorithms Applied on the Optimisation of the AODV's Routing Recovery Mechanism
MT GUERREIRO, HV SIQUEIRA, A GOKHALE - centerforcollectivelearning.org
Advances in electronic systems, wireless communication protocols, and intelligent devices
allowed the development of networks of mobile devices such as cars, drones, and robots …
allowed the development of networks of mobile devices such as cars, drones, and robots …