A deep reinforcement learning model to learn the transmission pattern in a network and dynamically allocate the spectrum to nodes
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Updated
May 21, 2020 - Python
A deep reinforcement learning model to learn the transmission pattern in a network and dynamically allocate the spectrum to nodes
A playground for Network Protocol Experiments
Cultivating Earth's greatest benefit. Extending humanity's best potential. Ending engineered economic precarity and obsolescence. Planetary Resilience. Sacred Wholeness.
Pure Aloha Protocol of access control method GUI Implementation in c# and wpf
Algorithms Learned During Computer Network Course
Computer Networks Course (CS 204), IIT Dharwad.
Reinforcement Learning applied to Autonomous Networking to issue scheduling and decision to drones.
Project from CSC143.
Can Dumb Beat Smart? Can the best and smartest multiuser channel access and Collision-avoidance algorithms beat the dumbest multiuser channel access scheme?
ALOHA protocol for multimaster communication
This package analyzes the age of information (AoI) in a slotted ALOHA network, providing metrics for network performance evaluation. It can be easily integrated into simulation environments for research on slotted ALOHA networks and AoI.
Wifi-network based Home/Away for smart devices
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