A critical analysis of research potential, challenges, and future directives in industrial wireless sensor networks

Mohsin Raza, Nauman Aslam, Hoa Le-Minh, Sajjad Hussain, Yue Cao, Noor Muhammad Khan

Research output: Contribution to journalReview articlepeer-review

237 Citations (Scopus)

Abstract

In recent years, industrial wireless sensor networks (IWSNs) have emerged as an important research theme with applications spanning a wide range of industries including automation, monitoring, process control, feedback systems, and automotive. Wide scope of IWSNs applications ranging from small production units, large oil and gas industries to nuclear fission control, enables a fast-paced research in this field. Though IWSNs offer advantages of low cost, flexibility, scalability, self-healing, easy deployment, and reformation, yet they pose certain limitations on available potential and introduce challenges on multiple fronts due to their susceptibility to highly complex and uncertain industrial environments. In this paper, a detailed discussion on design objectives, challenges, and solutions, for IWSNs, are presented. A careful evaluation of industrial systems, deadlines, and possible hazards in industrial atmosphere are discussed. This paper also presents a thorough review of the existing standards and industrial protocols and gives a critical evaluation of potential of these standards and protocols along with a detailed discussion on available hardware platforms, specific industrial energy harvesting techniques and their capabilities. This paper lists main service providers for IWSNs solutions and gives insight of future trends and research gaps in the field of IWSNs.

Original languageEnglish
Pages (from-to)39-95
Number of pages57
JournalIEEE Communications Surveys and Tutorials
Volume20
Issue number1
Early online date4 Oct 2017
DOIs
Publication statusPublished - 1 Jan 2018

Keywords

  • 6lo WG
  • 6LoWPAN
  • Automation
  • Bluetooth
  • bus
  • Castalia
  • cognitive sensor networks
  • congestion
  • CSMA/CA
  • data centric
  • energy harvesting
  • Ethernet
  • Fieldbus
  • flat
  • flat architecture
  • gradient
  • hierarchical
  • IEEE802.15.4e
  • IoT
  • ISA100.11a
  • IWSNs
  • MAC
  • mesh
  • MF
  • MiXiM
  • OMNeT++
  • openmote
  • OpenWSN
  • OPNET
  • proactive routing
  • PV
  • re-mote
  • security
  • star
  • SunSPOT
  • TDMA
  • tree
  • UWB
  • VLC
  • wasp mote
  • Wi-Fi
  • WirelessHART
  • WSNs
  • Zigbee

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