1 research outputs found
Energy Management in a Cooperative Energy Harvesting Wireless Sensor Network
In this paper, we consider the problem of finding an optimal energy
management policy for a network of sensor nodes capable of harvesting their own
energy and sharing it with other nodes in the network. We formulate this
problem in the discounted cost Markov decision process framework and obtain
good energy-sharing policies using the Deep Deterministic Policy Gradient
(DDPG) algorithm. Earlier works have attempted to obtain the optimal energy
allocation policy for a single sensor and for multiple sensors arranged on a
mote with a single centralized energy buffer. Our algorithms, on the other
hand, provide optimal policies for a distributed network of sensors
individually harvesting energy and capable of sharing energy amongst
themselves. Through simulations, we illustrate that the policies obtained by
our DDPG algorithm using this enhanced network model outperform algorithms that
do not share energy or use a centralized energy buffer in the distributed
multi-nodal case.Comment: 11 pages, 4 figure