Multiuser Computing Offload Algorithm Based on Mobile Edge Computing in the Internet of Things Environment

Algorithm 1

DQN-based offloading algorithm.

	Begin
(1)	Emptying the storage area of the ERU
(2)	Initialize the weight parameters of the estimated value network , and make the parameters of the target value network
(3)	Initialization status
(4)	For t = 1 : 1 : T
(5)	do
(6)	Under the greedy algorithm, an action is selected based on the state
(7)	Execute the action and observe the system costs and
(8)	Collecting samples and storing them in the ERU
(9)	If the samples are larger than the size of the sample pack then grabbing a sample packet at ERU
(10)	If is the final state then
	Otherwise
(11)	Execute RMSPropOptimizer, optimize
(12)	Every K time slots elapsed, so that
(13)
(14)	End
	End