1 research outputs found
Value of Information Aware Opportunistic Duty Cycling in Solar Harvesting Sensor Networks
The energy-harvested Wireless Sensor Networks (WSNs) may operate perpetually
with the extra energy supply from ambient natural energy, such as solar energy.
Nevertheless, the harvested energy is still limited so it's not able to support
the perpetual network operation with full duty cycle. To achieve the perpetual
network operation and process the data with high importance, measured by Value
of Information (VoI), the network has to operate under partial duty cycle and
to improve the efficiency to consume the harvested energy. The challenging
problem is how to deal with the stochastic feature of the natural energy and
the variable data VoI. We consider the energy consumption during storing and
the diversity of the data process including sampling, transmitting and
receiving, which consume different power levels. The problem is then mapped as
the budget-dynamic Multi-Arm Bandit (MAB) problem by treating the energy as the
budget and the data process as arm pulling. This paper proposes an
Opportunistic Duty Cycling (ODC) scheme to improve the energy efficiency while
satisfying the perpetual network operation. ODC chooses the proper
opportunities to store the harvested energy or to spend it on the data process
based on the historical information of the energy harvesting and the VoI of the
processed data. With this scheme, each sensor node need only estimate the
ambient natural energy in short term so as to reduce the computation and the
storage for the historical information. It also can distributively adjust its
own duty cycle according to its local historical information. This paper also
conducts the extensive analysis on the performance of our scheme ODC, and the
theoretical results validate the regret, which is the difference between the
optimal scheme and ours. Our experimental results also manifest the promising
performance of ODC