Intelligent, low-power and low-cost measurement system for energy consumption

Author(s):  
A. Minosi ◽  
A. Martinola ◽  
S. Mankan ◽  
F. Balzarini ◽  
A.N. Kostadinov ◽  
...  
2013 ◽  
Vol 27 (12) ◽  
pp. 4346-4354 ◽  
Author(s):  
Daniel Discini Silveira ◽  
José de Souza Lima ◽  
Maurício Silveira

2011 ◽  
Vol 9 (7) ◽  
pp. 071201-71204 ◽  
Author(s):  
Gregor Gerstorfer Gregor Gerstorfer ◽  
Bernhard G. Zagar Bernhard G. Zagar

2014 ◽  
Vol 700 ◽  
pp. 181-184
Author(s):  
Xu Zhang ◽  
Peng Chao Han ◽  
Yin Peng Yu ◽  
Yu Fang Zhou ◽  
Ya Min Xie

As one of promising "last mile" scheme for broadband access network, Fiber-Wireless (FiWi) access network has the advantages of high capacity, long distance, low cost etc because it is the integration of optical back-end and wireless front-end. At the same time, energy consumption of FiWi access network is an important factor that limits the development of networks. A number of ONU sleep states such as ONU power shedding state, ONU doze state, ONU deep sleep state and ONU fast sleep state have been proposed to obtain low-power ONU state, which indirectly reduce energy consumption of networks. However, these low-power states of ONU are born to coordinate to green Passive Optical Network (PON), of which the function of ONU is different from FiWi. In this paper, two low power ONU sleep mechanisms called Static ONU Sleep (SOS) mechanism and Dynamic ONU Sleep (DOS) mechanism, respectively, are proposed and embedded into FiWi access network. By simulation and analysis based on OPNET 14.5, this paper shows that the DOS mechanism has a better performance than SOS, and both of them can save energy of FiWi access network.


Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3814
Author(s):  
Frederico O. Sales ◽  
Yelco Marante ◽  
Alex B. Vieira ◽  
Edelberto Franco Silva

Sensor nodes are small, low-cost electronic devices that can self-organize into low-power networks and are susceptible to data packet loss, having computational and energy limitations. These devices expand the possibilities in many areas, like agriculture and urban spaces. In this work, we consider an IoT environment for monitoring a coffee plantation in precision agriculture. We investigate the energy consumption under low-power and lossy networks considering three different network topologies and an Internet Engineering Task Force (IETF) standardized Low-power and Lossy Network (LLN) routing protocol, the Routing Protocol for LLNs (RPL). For RPL, each secondary node selects a better parent according to some Objective Functions (OFs). We conducted simulations using Contiki Cooja 3.0, where we considered the Expected Transmission Count (ETX) and hop-count metric (HOP) metrics to evaluate energy consumption for three distinct topologies: tree, circular, and grid. The simulation results show that the circular topology had the best (lowest) energy consumption, being 15% better than the grid topology and 30% against the tree topology. The results help the need to improve the evolution of RPL metrics and motivate the network management of the topology.


Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1891
Author(s):  
Denis R. da S. Medeiros ◽  
Marcelo A. C. Fernandes

This work presents a strategy to implement a distributed form of genetic algorithm (GA) on low power, low cost, and small-sized memory aiming for increased performance and reduction of energy consumption when compared to standalone GAs. This strategy focuses on making a distributed version of GA feasible to run as a low cost and a low power consumption embedded system utilizing devices such as 8-bit microcontrollers (µCs) and Serial Peripheral Interface (SPI) for data transmission between those devices. Details about how the distributed GA was designed from a previous standalone implementation made by the authors and how the project is structured are presented. Furthermore, this work investigates the implementation limitations and shows results about its proper operation, most of them collected with the Hardware-In-Loop (HIL) technique, and resource consumption such as memory and processing time. Finally, some scenarios are analyzed to identify where this distributed version can be utilized and how it is compared to the single-node standalone implementation in terms of performance and energy consumption.


2019 ◽  
Vol 14 (4) ◽  
pp. 151-160
Author(s):  
Sien DIELTIENS ◽  
Jordi D’HONDT ◽  
Marc JUWET ◽  
Mark VERSTEYHE

Sign in / Sign up

Export Citation Format

Share Document