Energy Consumption Estimation for Energy-Aware, Adaptive Sensing Applications

• Published in: Mobile, Secure, and Programmable Networking Vol. 10566; pp. 222 - 235
• Main Authors: Tamkittikhun, Nattachart, Hussain, Amen, Kraemer, Frank Alexander
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2017; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Backend Cloud; Energy Consumption; Estimated Energy Expenditure; Power Consumption; Sensor Nodes
• ISBN: 331967806X; 9783319678061
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-67807-8_17

We propose and evaluate an approach for the estimation of the energy consumption of sensor nodes in IoT sensing applications. The approach is based on the identification of distinct activity phases that sensor nodes repeatedly execute. The power consumption of these activity phases is measured before the nodes are deployed. The total energy consumption at runtime is then estimated by combining the measured values with timestamps captured at runtime. Therefore, the approach can take runtime adaptations of the application behavior, as necessary for adaptive sensing, into account, but without involving complex hardware measurements of power consumption at runtime. We show that the error of the estimation for selected applications is low (max. observed was 2.438%), which makes the approach very suitable for energy-aware, adaptive sensing.