Standby Power Management for a Greenhouse Effect Reduction

Author(s):  
Daniel Chioran ◽  
Honoriu Valean
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Ling Lin ◽  
Zhong Tang ◽  
Nianxiong Tan ◽  
Xiaohui Xiao

In this paper, we identify and address the problems of designing effective power management schemes in low-power MCU design. Firstly, this paper proposes an application-based multipower domain architecture along with a variety of working modes to effectively realize the hierarchical control of power consumption. Furthermore, devices in energy IoT (eIoT) do not always work under the main power supply. When the main power supply is unavailable, the standby power supply (usually the battery) needs to maintain the operation and save the data. In order to ensure the complete isolation between these two power sources, it is always necessary to insert a diode in both select-conduction paths, respectively. In this paper, we built a stable and smooth power switching circuit into the chip, which can effectively avoid the diode voltage loss and reduce the BoM cost. In addition, in the sleep mode, considering the relaxed output voltage range and a limited driving capability requirement, an ultra-low-power standby power circuit is proposed, which can autonomously replace the internal LDO when in sleep, further reducing the sleep power consumption under the main power supply. Fabricated in a standard 0.11 μm CMOS process, our comparative analysis demonstrates substantial reduction in power consumption from 1 μA to 0.1 μA.


Author(s):  
SALVATORE DISTEFANO

A wireless sensor network (WSN) is a distributed system composed of autonomous sensor nodes wireless connected and randomly scattered into a geographical area to cooperatively monitor physical or environmental conditions. Adequate techniques and strategies are required to manage a WSN in order it works properly, mainly focusing on its reliability. From the system reliability perspective, it is important to take into account that WSN nodes are usually battery-powered and the WSN reliability strongly depends on the power management at node level. Since standby power management policies are often applied at node level and, moreover, interferences among nodes may arise, a WSN can be considered as a system affected by dynamic-dependent behaviors among its components and therefore, the dynamic reliability approach can be applied. Static-structural interactions are specified by the WSN topology. Active–sleep standby policies and interferences due to wireless communications can be instead considered as dynamic aspects. Thus, in order to represent and to evaluate the WSN reliability dynamic reliability block diagrams are used in this paper. The proposed technique allows to overcome the limits of Markov models when considering nonlinear discharge processes, since such models cannot adequately represent the node aging process. In order to demonstrate the effectiveness of the DRBD technique in this context, we investigate some specific WSN network topologies, providing guidelines for their representation and evaluation.


2013 ◽  
Vol 43 (6) ◽  
pp. 535-546 ◽  
Author(s):  
Seungwoo Lee ◽  
Gilyoung Ryu ◽  
Yohan Chon ◽  
Rhan Ha ◽  
Hojung Cha

Sign in / Sign up

Export Citation Format

Share Document