Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reinforcement Learning based Transmission Range Control in
  Software-Defined Wireless Sensor Networks with Moving Sensor   Routing in Software-Defined Wireless sensor networks (SD-WSNs) can be either
single or multi-hop, whereas the network is either static or dynamic. In static
SD-WSN, the selection of the optimum route from source to destination is
accomplished by the SDN controller(s). On the other hand, if moving sensors are
there, then SDN controllers of zones cannot handle route discovery sessions by
themselves; they can only store information about the most recent zone state.
Moving sensors find lots of robotics applications where robots continue to move
from one room to another to sensing the environment. A huge amount of energy
can be saved in these networks if transmission range control is applied.
Multiple power levels exist in each node, and each of these levels takes
possible actions after a potential sender node decides to transmit/forward a
message. Based on each such activity, the next states of the concerned sender
node and the communication session are re-determined while the router receives
a reward. The Epsilon-greedy algorithm is applied in this study to decide the
optimum power level in the next iteration. It is determined anew depending upon
the present network scenario. Simulation results show that our proposed work
leads the network to equilibrium by reducing energy consumption and maintaining
network throughput.

11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an