When Scavengers Meet Industrial Wireless

Recent standardization efforts on industrial low-power wireless communication technologies clearly bet for the Time Slotted Channel Hopping (TSCH) medium access control (MAC) layer as it proved to achieve 99.999% reliability while ensuring deterministic behavior. Standards such as WirelessHART, ISA100.11a, and IEEE802.15.4e rooted at the TSCH MAC layer are used to connect millions of industrial devices today, enabling the emergence of the Industrial Internet paradigm. At that point and due to the ultralow energy profile of TSCH networks, scavengers come into play, enabling autonomously powered control and monitoring systems on industries. However, putting these systems together requires a clear understanding of their behavior. Therefore, this paper presents a methodology and a model to reliably dimension scavenger properties to network requirements and application needs, allowing industries to optimize the adoption of that technologies while keeping technical risks low.

[1]  Michele Magno,et al.  Extended Wireless Monitoring Through Intelligent Hybrid Energy Supply , 2014, IEEE Transactions on Industrial Electronics.

[2]  Francesco Grimaccia,et al.  Optimization of a radio frequency energy harvesting device , 2012, 2012 IEEE Congress on Evolutionary Computation.

[3]  Kevin Weekly,et al.  OpenWSN: a standards‐based low‐power wireless development environment , 2012, Trans. Emerg. Telecommun. Technol..

[4]  Paul K. Wright,et al.  Vibration energy harvesting to power condition monitoring sensors for industrial and manufacturing equipment , 2013 .

[5]  Sanjib Kumar Panda,et al.  Energy Harvesting From Hybrid Indoor Ambient Light and Thermal Energy Sources for Enhanced Performance of Wireless Sensor Nodes , 2011, IEEE Transactions on Industrial Electronics.

[6]  Jonathan Simon,et al.  Channel-Specific Wireless Sensor Network Path Data , 2007, 2007 16th International Conference on Computer Communications and Networks.

[7]  João Paulo Pereira do Carmo,et al.  Thermoelectric Microconverter for Energy Harvesting Systems , 2010, IEEE Transactions on Industrial Electronics.

[8]  Saibal Roy,et al.  Self-powered autonomous wireless sensor node using vibration energy harvesting , 2008 .

[9]  Robert Puers,et al.  Power Processing Circuits for Piezoelectric Vibration-Based Energy Harvesters , 2010, IEEE Transactions on Industrial Electronics.

[10]  Ankur Mehta,et al.  WARPWING: A complete open source control platform for miniature robots , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Michele Rossi,et al.  On the Performance of Lossy Compression Schemes for Energy Constrained Sensor Networking , 2014, TOSN.

[12]  Adel Nasiri,et al.  Indoor power harvesting using photovoltaic cells for low power applications , 2009, 2009 13th European Conference on Power Electronics and Applications.

[13]  Qin Wang,et al.  A Realistic Power Consumption Model for Wireless Sensor Network Devices , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[14]  Sanjay Kumar Madria,et al.  Sensor networks: an overview , 2003 .

[15]  Thomas Watteyne,et al.  Adaptive Synchronization in IEEE802.15.4e Networks , 2014, IEEE Transactions on Industrial Informatics.

[16]  Agnieszka Muszynska Vibrational Diagnostics of Rotating Machinery Malfunctions Illustrated by Basic Mathematical Models of the Rotor System , 2005 .

[17]  Vehbi C. Gungor,et al.  Online and Remote Motor Energy Monitoring and Fault Diagnostics Using Wireless Sensor Networks , 2009, IEEE Transactions on Industrial Electronics.

[18]  David E. Culler,et al.  Perpetual environmentally powered sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[19]  Qin Wang,et al.  A Realistic Energy Consumption Model for TSCH Networks , 2014, IEEE Sensors Journal.

[20]  Peng Zeng,et al.  Kinetic Energy Harvesting Using Piezoelectric and Electromagnetic Technologies—State of the Art , 2010, IEEE Transactions on Industrial Electronics.

[21]  David Wetherall,et al.  Ambient backscatter: wireless communication out of thin air , 2013, SIGCOMM.