PMID- 32143389
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20200325
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 20
IP  - 5
DP  - 2020 Mar 4
TI  - Smart Sensor Architectures for Multimedia Sensing in IoMT.
LID - 10.3390/s20051400 [doi]
LID - 1400
AB  - Today, a wide range of developments and paradigms require the use of embedded 
      systems characterized by restrictions on their computing capacity, consumption, 
      cost, and network connection. The evolution of the Internet of Things (IoT) 
      towards Industrial IoT (IIoT) or the Internet of Multimedia Things (IoMT), its 
      impact within the 4.0 industry, the evolution of cloud computing towards edge or 
      fog computing, also called near-sensor computing, or the increase in the use of 
      embedded vision, are current examples of this trend. One of the most common 
      methods of reducing energy consumption is the use of processor frequency scaling, 
      based on a particular policy. The algorithms to define this policy are intended 
      to obtain good responses to the workloads that occur in smarthphones. There has 
      been no study that allows a correct definition of these algorithms for workloads 
      such as those expected in the above scenarios. This paper presents a method to 
      determine the operating parameters of the dynamic governor algorithm called 
      Interactive, which offers significant improvements in power consumption, without 
      reducing the performance of the application. These improvements depend on the 
      load that the system has to support, so the results are evaluated against three 
      different loads, from higher to lower, showing improvements ranging from 62% to 
      26%.
FAU - Silvestre-Blanes, Javier
AU  - Silvestre-Blanes J
AUID- ORCID: 0000-0001-7091-0040
AD  - ITI and Universitat Politecnica de Valencia (UPV), DISCA, EPSA, 03801 Alcoy, 
      Spain.
FAU - Sempere-Paya, Victor
AU  - Sempere-Paya V
AD  - ITI and Universitat Politecnica de Valencia (UPV), DCOM, ETSIT, 46022 Valencia, 
      Spain.
FAU - Albero-Albero, Teresa
AU  - Albero-Albero T
AD  - ITI and Universitat Politecnica de Valencia (UPV), DISCA, EPSA, 03801 Alcoy, 
      Spain.
LA  - eng
GR  - PGC2018-094151-B-I00/Ministerio de Ciencia, Innovacion y Universidades/
PT  - Journal Article
DEP - 20200304
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC7085541
OTO - NOTNLM
OT  - IoMT
OT  - edge computing
OT  - governor
OT  - near sensor computing
COIS- The authors declare no conflict of interest.
EDAT- 2020/03/08 06:00
MHDA- 2020/03/08 06:01
PMCR- 2020/03/01
CRDT- 2020/03/08 06:00
PHST- 2020/01/14 00:00 [received]
PHST- 2020/02/20 00:00 [revised]
PHST- 2020/02/29 00:00 [accepted]
PHST- 2020/03/08 06:00 [entrez]
PHST- 2020/03/08 06:00 [pubmed]
PHST- 2020/03/08 06:01 [medline]
PHST- 2020/03/01 00:00 [pmc-release]
AID - s20051400 [pii]
AID - sensors-20-01400 [pii]
AID - 10.3390/s20051400 [doi]
PST - epublish
SO  - Sensors (Basel). 2020 Mar 4;20(5):1400. doi: 10.3390/s20051400.