Review on Low-Power Consumption Techniques for FPGA-based designs in IoT technology

被引:0
|
作者
Ibro, Marsida [1 ]
Marinova, Galia [2 ]
机构
[1] Aleksander Moisiu Univ, Fac Informat Technol, Durres, Albania
[2] Tech Univ Sofia, Fac Telecommun, Sofia, Bulgaria
关键词
ultra-low-power techniques; IoT; FPGA; data processing; ULTRA-LOW-POWER; HARDWARE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper aims to give an overview and discuss power consumption techniques for FPGA-based designs, which will provide the necessary information about the low-power techniques and will give a new approach to the design optimisations that help to guide researchers in this field. The new emerging technologies such as IoT is evolving rapidly and one of the main concerns is power consumption. Nowadays, mobile devices are smart and perform difficult tasks including computations and control, which are being designed using FPGA, IP (hard and soft cores) and SoC. The necessity for developing low-power techniques will help mobile devices to process data during communication. It is obvious that FPGAs have many advantages compared to other digital integrated circuits but has one major disadvantage because they consume much power due to their complex architecture. Most of the low-power techniques for FPGAs focus on system-level and device-level (architecture) designs. In the end, conclusions will be given based on the analysis of low-power techniques.
引用
收藏
页码:110 / 114
页数:5
相关论文
共 50 条
  • [31] Fast Radiation Monitoring in FPGA-based Designs
    Leong, C.
    Semiao, J.
    Santos, M. B.
    Teixeira, I. C.
    Teixeira, J. P.
    Batista, A. J. N.
    Goncalves, B.
    Marques, J. G.
    2015 CONFERENCE ON DESIGN OF CIRCUITS AND INTEGRATED SYSTEMS (DCIS), 2015,
  • [32] Analysis of Low Power Consumption Techniques on FPGA for Wireless Devices
    Gaurav Verma
    Manish Kumar
    Vijay Khare
    Bishwajeet Pandey
    Wireless Personal Communications, 2017, 95 : 353 - 364
  • [33] Analysis of Low Power Consumption Techniques on FPGA for Wireless Devices
    Verma, Gaurav
    Kumar, Manish
    Khare, Vijay
    Pandey, Bishwajeet
    WIRELESS PERSONAL COMMUNICATIONS, 2017, 95 (02) : 353 - 364
  • [34] FPGA-Accelerated Time Series Mining on Low-Power IoT Devices
    Kang, Seongyoung
    Moon, Jinyeong
    Jun, Sang-Woo
    2020 IEEE 31ST INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP 2020), 2020, : 33 - 36
  • [35] INCREASING THE LEVEL OF ABSTRACTION IN FPGA-BASED DESIGNS
    Danek, Martin
    Kadlec, Jiri
    Bartosinski, Roman
    Kohout, Lukas
    2008 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE AND LOGIC APPLICATIONS, VOLS 1 AND 2, 2008, : 5 - 10
  • [36] Ultra Low-power MEMS based Radios for the IoT
    Thirunarayanan, Raghavasimhan
    Heragu, Aravind
    Ruffieux, David
    Enz, Christian
    23RD IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS CIRCUITS AND SYSTEMS (ICECS 2016), 2016, : 225 - 228
  • [37] A Survey on Hardware Security Techniques Targeting Low-Power SoC Designs
    Ehret, Alan
    Gettings, Karen
    Jordan, Bruce R., Jr.
    Kinsy, Michel A.
    2019 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC), 2019,
  • [38] FPGA-based Low Power Audio Subword Sorter Unit
    Karthigaikumar, P.
    Baskaran, K.
    IETE JOURNAL OF RESEARCH, 2009, 55 (06) : 260 - 265
  • [39] Data-reuse exploration under an on-chip memory constraint for low-power FPGA-based systems
    Liu, Q.
    Constantinides, G. A.
    Masselos, K.
    Cheung, P. Y. K.
    IET COMPUTERS AND DIGITAL TECHNIQUES, 2009, 3 (03): : 235 - 246
  • [40] Low-Power FPGA-Based Spiking Neural Networks for Real-Time Decoding of Intracortical Neural Activity
    Martis, Luca
    Leone, Gianluca
    Raffo, Luigi
    Meloni, Paolo
    IEEE Sensors Journal, 2024, 24 (24) : 42448 - 42459