Cooperative computing system for heavy-computation and low-latency processing in wireless sensor networks

Jongtack Jung, Woonghee Lee, Hwangnam Kim

Research output: Contribution to journalArticle

Abstract

Over the past decades, hardware and software technologies for wireless sensor networks (WSNs) have significantly progressed, and WSNs are widely used in various areas including Internet of Things (IoT). In general, existing WSNs are mainly used for applications that require delay-tolerance and low-computation due to the poor resources of traditional sensor nodes in WSNs. However, compared to the traditional sensor nodes, today’s devices for WSNs have more powerful resource. Thus, sensor nodes these days not only conduct sensing and transmitting data to servers but also are able to process many operations, so more diverse applications can be applied to WSNs. Especially, many applications using audio data have been proposed because audio is one of the most widely used data types, and many mobile devices already have a built-in microphone. However, many of the applications have a requirement that heavy-operations should be done by a tight deadline, so it is difficult for a single node in WSNs to run relatively heavy applications by itself. In this paper, to overcome this limitation of WSNs, we propose a new emerging system, HeaLow, a cooperative computing system for heavy-computation and low-latency processing in WSNs. We designed HeaLow and carried out the practical implementation on real devices. We confirmed the effectiveness of HeaLow through various experiments using the real devices and simulations. Using HeaLow, nodes in WSNs are able to perform heavy-computation processes while satisfying a completion time requirement.

Original languageEnglish
Article number1686
JournalSensors (Switzerland)
Volume18
Issue number6
DOIs
Publication statusPublished - 2018 Jun 1

Fingerprint

Wireless sensor networks
Equipment and Supplies
sensors
Processing
Wireless Technology
Sensor nodes
Internet
Software
resources
audio data
Microphones
Mobile devices
requirements
Servers
microphones
Hardware
emerging
hardware
computer programs

Keywords

  • Audio data processing
  • Cooperative computing
  • Heavy computation
  • Internet of Things
  • Low-latency processing
  • Wireless sensor networks

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Cooperative computing system for heavy-computation and low-latency processing in wireless sensor networks. / Jung, Jongtack; Lee, Woonghee; Kim, Hwangnam.

In: Sensors (Switzerland), Vol. 18, No. 6, 1686, 01.06.2018.

Research output: Contribution to journalArticle

@article{30490096f76645c19d4d0921a5bc023b,
title = "Cooperative computing system for heavy-computation and low-latency processing in wireless sensor networks",
abstract = "Over the past decades, hardware and software technologies for wireless sensor networks (WSNs) have significantly progressed, and WSNs are widely used in various areas including Internet of Things (IoT). In general, existing WSNs are mainly used for applications that require delay-tolerance and low-computation due to the poor resources of traditional sensor nodes in WSNs. However, compared to the traditional sensor nodes, today’s devices for WSNs have more powerful resource. Thus, sensor nodes these days not only conduct sensing and transmitting data to servers but also are able to process many operations, so more diverse applications can be applied to WSNs. Especially, many applications using audio data have been proposed because audio is one of the most widely used data types, and many mobile devices already have a built-in microphone. However, many of the applications have a requirement that heavy-operations should be done by a tight deadline, so it is difficult for a single node in WSNs to run relatively heavy applications by itself. In this paper, to overcome this limitation of WSNs, we propose a new emerging system, HeaLow, a cooperative computing system for heavy-computation and low-latency processing in WSNs. We designed HeaLow and carried out the practical implementation on real devices. We confirmed the effectiveness of HeaLow through various experiments using the real devices and simulations. Using HeaLow, nodes in WSNs are able to perform heavy-computation processes while satisfying a completion time requirement.",
keywords = "Audio data processing, Cooperative computing, Heavy computation, Internet of Things, Low-latency processing, Wireless sensor networks",
author = "Jongtack Jung and Woonghee Lee and Hwangnam Kim",
year = "2018",
month = "6",
day = "1",
doi = "10.3390/s18061686",
language = "English",
volume = "18",
journal = "Sensors (Switzerland)",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "6",

}

TY - JOUR

T1 - Cooperative computing system for heavy-computation and low-latency processing in wireless sensor networks

AU - Jung, Jongtack

AU - Lee, Woonghee

AU - Kim, Hwangnam

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Over the past decades, hardware and software technologies for wireless sensor networks (WSNs) have significantly progressed, and WSNs are widely used in various areas including Internet of Things (IoT). In general, existing WSNs are mainly used for applications that require delay-tolerance and low-computation due to the poor resources of traditional sensor nodes in WSNs. However, compared to the traditional sensor nodes, today’s devices for WSNs have more powerful resource. Thus, sensor nodes these days not only conduct sensing and transmitting data to servers but also are able to process many operations, so more diverse applications can be applied to WSNs. Especially, many applications using audio data have been proposed because audio is one of the most widely used data types, and many mobile devices already have a built-in microphone. However, many of the applications have a requirement that heavy-operations should be done by a tight deadline, so it is difficult for a single node in WSNs to run relatively heavy applications by itself. In this paper, to overcome this limitation of WSNs, we propose a new emerging system, HeaLow, a cooperative computing system for heavy-computation and low-latency processing in WSNs. We designed HeaLow and carried out the practical implementation on real devices. We confirmed the effectiveness of HeaLow through various experiments using the real devices and simulations. Using HeaLow, nodes in WSNs are able to perform heavy-computation processes while satisfying a completion time requirement.

AB - Over the past decades, hardware and software technologies for wireless sensor networks (WSNs) have significantly progressed, and WSNs are widely used in various areas including Internet of Things (IoT). In general, existing WSNs are mainly used for applications that require delay-tolerance and low-computation due to the poor resources of traditional sensor nodes in WSNs. However, compared to the traditional sensor nodes, today’s devices for WSNs have more powerful resource. Thus, sensor nodes these days not only conduct sensing and transmitting data to servers but also are able to process many operations, so more diverse applications can be applied to WSNs. Especially, many applications using audio data have been proposed because audio is one of the most widely used data types, and many mobile devices already have a built-in microphone. However, many of the applications have a requirement that heavy-operations should be done by a tight deadline, so it is difficult for a single node in WSNs to run relatively heavy applications by itself. In this paper, to overcome this limitation of WSNs, we propose a new emerging system, HeaLow, a cooperative computing system for heavy-computation and low-latency processing in WSNs. We designed HeaLow and carried out the practical implementation on real devices. We confirmed the effectiveness of HeaLow through various experiments using the real devices and simulations. Using HeaLow, nodes in WSNs are able to perform heavy-computation processes while satisfying a completion time requirement.

KW - Audio data processing

KW - Cooperative computing

KW - Heavy computation

KW - Internet of Things

KW - Low-latency processing

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=85047646187&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85047646187&partnerID=8YFLogxK

U2 - 10.3390/s18061686

DO - 10.3390/s18061686

M3 - Article

AN - SCOPUS:85047646187

VL - 18

JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

SN - 1424-8220

IS - 6

M1 - 1686

ER -