Software-based on-line energy estimation for sensor nodes

By Adam Dunkels, Fredrik Österlind, Nicolas Tsiftes, Zhitao He. Workshop on Embedded Networked Sensors, 2007

463 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Lithe: Lightweight Secure CoAP for the Internet of Things (2013, methodology): “For the evaluation of energy consumption, we use the energy estimation module [26] provided by Contiki OS.”
Internet of Things (IoT) for Smart Precision Agriculture and Farming in Rural Areas (2018, methodology): “Contiki’s energy module [34] is used to calculate the energy consumption of a node per second.”
Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey (2013, unknown): “In [21], an energy model speci ﬁ cally built for use for on-line accounting is presented.”
PRISM: platform for remote sensing using smartphones (2010, background): “PRISM could leverage such accurate energy monitoring if it were to become available widely on mobile phones.”
MUSTER: Adaptive Energy-Aware Multisink Routing in Wireless Sensor Networks (2011, methodology): “We can estimate the average current draw Iavg by using external hardware devices [19], energy accounting [34], or software-based power profilers [17].”
The ContikiMAC Radio Duty Cycling Protocol (2011, methodology): “We use the radio duty cycle as a proxy for the power consumption of the network, as the radio transceiver has a linear power draw that depends on its on-time [5, 22].”