Energy-consuming data BSs are flexibly deployed and can be activated/deactivated based on different traffic conditions.
Sampling at such a high frequency is highly energy consuming, and the processing of the data gathered is challenging to implement on resource-constrained motes.
Due to the significant amount of data transfers between the processing units and the large and energy consuming off-chip memories, these applications are often called data-dominated or data-intensive [1].
The data centers house high energy consuming IT equipments and need 24 h air-conditioning every day all year round.
The study concludes that data centers were high energy consuming areas in commercial office buildings—energy consumptions of approximately 3000 kWh/(m2 year) and 2000 kWh/(m2 year), respectively, were observed in the case studies.
Some efforts have been made to control and lower energy consumption of data centers such as, proportional energy consuming hardware, dynamic provisioning, and virtualization machine techniques.
Those additional activities are energy consuming.
The visa application process is expensive, very time consuming and very energy consuming.
Extended battery lifetime: GPRS/UMTS communication is highly energy consuming.
However, these methods are usually time and energy consuming.
However, such a high sampling rate is very energy consuming.
