… the structure or distribution (eg data clustering) in the data in order to learn specific …
reinforcement learning and more aware of network dynamics. Whenever a node receives a Route …

… fashion in a way that routing nodes turn themselves into a learning entity that makes local …
In tests, link capacity distribution follows the 2004 GÉANT topology which has 50% of the links …

… the energy distribution is not uniform, the current routing … of reinforcement learning based
on this paper. Here the agents are all the sensor nodes in the predefined candidate relay nodes…

… requirements due to the dynamic distribution of the crowd in … -reinforcement-learning-based
smart routing algorithm to … the action taken by edge node n  N to route requests for ser…

… aspects of a routing protocol such as route discovery, data dissemination, route maintenance,
… algorithms use GPS values to locate the destination and suitable intermediary nodes [59]. …

… accessed node when other nodes … node connects multiple old node when accesses network
(similarly, we named this new node as multi-path node), it has multiple accessed nodes and …

… nodes are arranged as basic sensor nodes, data relay nodes and data dissemination nodes…
The multi-hop routing is performed through relay and dissemination nodes. Although multi-…

… In the reward function, the residual energy of each node and the energy distribution
among a group of nodes are considered to balance the energy consumption. In addition, the …

… We develop a reinforcement learning routing algorithm (RLRouting) to solve a traffic
engineering (TE) problem of SDN in terms of throughput and delay. RL-Routing solves the TE …

… Krishnakumar and Fredrik27 proposed a QoS-based data dissemination to … node using
content based routing (CBR). At receiving end, there exist certain factors that affect the data rates …