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Finally, we propose energy balancing cluster routing based on a mobile agent (EBMA) for WSNs.
Bidders are allowed to propose energy supply curves in the ascending steps and maximum to 10 steps.
The increasing need for tighter energy budgets demands vigilant energy conservation and thus driving us to propose energy aware hardware and software [1].
To address those issues, researchers propose energy efficient algorithms that can minimize energy consumption while keeping the quality of service (QoS) at a satisfactory level.
Based on different wireless network topologies, we propose energy management schemes to minimize energy consumption while guaranteeing the timing constraint and precedence constraint.
In order to analyze the sector and propose energy efficiency measures in these processes, this work suggests the use of the Ecological Footprint (EF) methodology as a tool to study the energy consumption.
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Huang et al. [25] propose energy-efficient semi-static power control and a link adaptation scheme for UMTS (HSDPA) networks.
Beloglazov et al. [18] propose energy-aware heuristic algorithms for dynamic allocation of VMs to hosts based on live migration.
Also, ∞/∞ analysis is useful to evaluate new alternatives for existing processes and to propose energy-efficient alternatives by process integration.
At the physical layer, efforts are made in order to propose energy-efficient waveforms and codes or optimized radio-frequency (RF) front ends.
They propose Energy-Aware Routing (EAR), whereby links that are not part of the shortest path tree (SPT) calculated by each router are switched off.
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