Energy-Optimized Mobile Computing (eMo)

  • Ylä-Jääski, Antti (Project Member)
  • Xiao, Yu (Project Member)
  • Siekkinen, Matti (Project Member)
  • Vu, Ba (Project Member)
  • Savolainen, Petri (Project Member)
  • Ghani, Adnan (Project Member)
  • Hoque, Mohammad (Project Member)
  • Rajaraman, Swaminathan (Project Member)

Project Details


Energy consumption is a concern with today’s mobile devices. While the capabilities of the devices have improved rapidly over the last ten years transforming also the way these devices are being utilized, battery technology has not been able to keep up with this evolution. As a consequence, there is an increasing gap between the battery capacity and the amount of energy required for typical usage. The situation calls for solutions that enable more energy efficient usage of mobile services. eMo-project addresses this problem by building theoretical models of energy consumption in mobile devices with the help of experimentation and measurements. Based on the models, we develop new protocols that aim for energy-optimal execution. We take a holistic approach and aim for an integral solution that incorporates these protocols into an intelligent and autonomic framework. This target solution consumes radically less energy than currently used solutions.
Effective start/end date01/09/201131/08/2014

Collaborative partners

  • Aalto University (lead)
  • SA: Research funding (other) (Project partner)
  • Suomen Akatemia (Project partner)

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy


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