4.7 Article

A Critical Analysis of Research Potential, Challenges, and Future Directives in Industrial Wireless Sensor Networks

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/COMST.2017.2759725

关键词

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

资金

  1. Northumbia University Newcastle
  2. Erasmus Mundus cLINK exchange Programme

向作者/读者索取更多资源

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.

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