Battery capacity measurement and analysis using lithium coin cell battery
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
A Framework for Battery-Aware Sensor Management
Proceedings of the conference on Design, automation and test in Europe - Volume 2
Battery-Aware Real-Time Task Scheduling in Wireless Sensor Networks
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Battery-aware power management based on Markovian decision processes
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Energy budget approximations for battery-powered systems with a fixed schedule of active intervals
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Battery-powered wireless sensors are severely constrained by the amount of the available energy. A method for computing the energy budget per sensing task can be a valuable design aid for sensor network optimizations. This work presents such a method that computes the upper and lower bounds on the task energy budget for a sensor node that must remain operational over a specified lifetime, with a known task schedule. These bounds take into account nonlinear changes in the battery voltage, capacity loss at high discharge rates, charge recovery, and capacity fade over time. We also propose efficient approximations replacing expensive calculations of the battery voltage while computing the energy budget bounds.