Novel Learning Algorithms for Efficient Mobile Sink Data Collection Using Reinforcement Learning in Wireless Sensor Network

Table 4

RL model for clustering.

Action	: every action represents a next-hop neighbour node j. Here J represents the number of node i’s neighbour nodes [12, 37].
Reward	where represents the link cost to the next-hop neighbour node [12, 37].