engleski

Energy efficient service provisioning in Machine- to-Machine systems

Internet of Things (IoT) systems have become ubiquitous, with many deployments spanning various domains. In settings where IoT devices are battery powered, energy-efficiency is an important aspect that needs to be taken into account. One of the key concerns is the fact that data from IoT devices is often sent in streams even when users do not have a need or interest for it. In our energy-efficient approach, the system is designed in a user- centric way, enabling control of IoT devices according to user needs or user-defined rules, thus conserving the energy when no interest in IoT data is expressed. Furthermore, the proposed system enables data analysis in the fog, and deciding on the node where it is more energy- efficient to perform analysis tasks. In the system more services can be executed on one IoT device, and decision on the best allocation is made with a goal to prolong the lifetime of services with higher priority. The results show how the allocation mechanism which takes advantage of the aforementioned features increases the lifetime of prioritized services.

energy efficiency, service provisioning, task allocation

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