Wireless Rechargable Sensors Network

Distributed Actor_Critic based

• Implementation of a distributed Q_learning-based charging strategy with Kmeans net-partition on WRSN with multiple Mobile Chargers.

Experiments:

$ python Simulate.py
experiment_type:
experiment_index:

Experiment_index Experiment_type	0	1	2	3	4	5	6	7	8
node	300	350	400	450	500	550	600	650	700
target	200	250	300	350	400	450	500	550	600
MC	1	2	3	4	5	6	7	8	9
prob	0.1	0.2	0.3	0.4	0.5	0.6	0.7	0.8	0.9
package	400	450	500	550	600	650	700	750	800

target experiments must be reconstructed to match node experiments range if modified

Results:

• All expriment results are updated at this sheet.

Requirements:

• pandas==1.1.3
• scipy==1.5.2
• numpy==1.19.2
• scikit_learn==0.24.2