INTELLIGENT POWER MANAGEMENT FOR EMBEDDED WI-FI DEVICES

2012 ◽  
Vol 21 (01) ◽  
pp. 1250003 ◽  
Author(s):  
WEIYIN HONG ◽  
XIN KUANG ◽  
JIANHUA SHEN ◽  
TONGQUAN WEI
Keyword(s):  
Power Management ◽  
Energy Savings ◽  
Low Power Design ◽  
System Level ◽  
Dynamic Power Management ◽  
Research Attention ◽  
And Performance ◽  
Application Requirements ◽  
Intelligent Power Management ◽  
System Power

With the increasing deployment of Wi-Fi devices in portable embedded systems, the low power design at system level has attracted considerable research attention in the recent past. In this paper, based on hardware features and software architecture of the embedded Wi-Fi devices, we focus on dynamic power management, dynamic frequency scaling, and their influences upon the system power and performance. We propose effective and realizable system power management solution and application modes under various application requirements, such as response, bandwidth, and speed. Experimental results show that the proposed solutions can achieve significant energy savings.

scholarly journals System-Level Optimization of Multi-Modal Transportation Networks for Energy Efficiency using Personalized Incentives: Formulation, Implementation, and Performance

2019 ◽  
Vol 2673 (12) ◽  
pp. 425-438
Author(s):  
Andrea Araldo ◽  
Song Gao ◽  
Ravi Seshadri ◽  
Carlos Lima Azevedo ◽  
Hossein Ghafourian ◽  
...  
Keyword(s):  
Energy Savings ◽  
Heuristic Method ◽  
System Optimization ◽  
System Level ◽  
Online Computation ◽  
Simulation Based ◽  
Wide Energy ◽  
And Performance ◽  
The Individual

The paper presents the system optimization (SO) framework of Tripod, an integrated bi-level transportation management system aimed at maximizing energy savings of the multi-modal transportation system. From the user’s perspective, Tripod is a smartphone app, accessed before performing trips. The app proposes a series of alternatives, consisting of a combination of departure time, mode, and route. Each alternative is rewarded with an amount of tokens which the user can later redeem for goods or services. The role of SO is to compute the optimized set of tokens associated with the available alternatives to minimize the system-wide energy consumption under a limited token budget. To do so, the alternatives that guarantee the largest energy reduction must be rewarded with more tokens. SO is multi-modal, in that it considers private cars, public transit, walking, car pooling, and so forth. Moreover, it is dynamic, predictive, and personalized: the same alternative is rewarded differently, depending on the current and the predicted future condition of the network and on the individual profile. The paper presents a method to solve this complex optimization problem and describe the system architecture, the multi-modal simulation-based optimization model, and the heuristic method for the online computation of the optimized token allocation. Finally it showcases the framework with simulation results.

scholarly journals DVFS and Its Architectural Simulation Models for Improving Energy Efficiency of Complex Embedded Systems in Early Design Phase

Computers ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 2 ◽  
Author(s):  
Parham Haririan
Keyword(s):  
Embedded Systems ◽  
Resource Constraints ◽  
Low Power Design ◽  
System Level ◽  
Design Phase ◽  
Case Review ◽  
Early Design ◽  
And Performance ◽  
Architectural Simulation ◽  
Early Design Phase

Dealing with resource constraints is an inevitable feature of embedded systems. Power and performance are the main concerns beside others. Pre-silicon analysis of power and performance in today’s complex embedded designs is a big challenge. Although RTL (Register-Transfer Level) models are more precise and reliable, system-level modeling enables the power and performance analysis of complex and dense designs in the early design phase. Virtual prototypes of systems prepared through architectural simulation provide a means of evaluating non-existing systems with more flexibility and minimum cost. Efficient interplay between power and performance is a key feature within virtual platforms. This article focuses on dynamic voltage and frequency scaling (DVFS), which is a well-known system-level low-power design technique together with its more efficient implementations modeled through architectural simulation. With advent of new computing paradigms and modern application domains with strict resource demands, DVFS and its efficient hardware-managed solutions get even more highlighted. This is mainly because they can react faster to resource demands and thus reduce induced overhead. To that end, they entail an effective collaboration between software and hardware. A case review in the end wraps up the discussed topics.

The Research of the Power Supply System of Embedded Portable Devices

2011 ◽  
Vol 127 ◽  
pp. 496-500
Author(s):  
Wei Cheng
Keyword(s):  
Power Consumption ◽  
Power Management ◽  
Power Supply System ◽  
Functional Integration ◽  
Portable Devices ◽  
Dynamic Power Management ◽  
Portable Equipment ◽  
Work Time ◽  
Management Technology ◽  
System Power

Portable devices are mostly powered by battery. With the products tending to the direction of light, thin, short and multi-functional integration, the power requirements of portable devices are increasing all the time, but the energy density of battery is far behind the speed, the improvement of performance relies heavily on the power management technology. Therefore, it’s needed that manage the power of whole system with the integrated viewpoint to reduce power consumption and extend the system work time. After the analysis and research for power management technologies, one kind of a combination of hardware and software power management solution is proposed. The power management IC with embedded Linux operating system's Dynamic Power Management technology, better to reduce system power consumption, meets the requirements of the power system supplied by portable equipment.

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