On Industrial Wireless Sensor Network (IWSN) and Its Simulation Using Castalia

Wireless automation is an emerging field of research that aims at significant savings in installation time and costs of cabling in automation systems, while providing a new level of flexibility for system design, reconfiguration, and agility. Wireless sensor networks (WSNs) are a rather new technology, with its origins tracing back to the early 1980s through the Distributed Sensor Networks (DSNs) program at the Defense Advanced Research Project Agency (DARPA) of the US Department of Defense. Industrial Wireless Sensor Network (IWSN) evolved from WSN and are specially designed, keeping in mind the demands and nature of industry. Two common protocols ZigBee and WirelessHART were designed for general commercial use and later adopted for industrial applications. ISA100.11a developed by International Society of Automation, was specially designed for IWSN. These protocols use layer structure which allow secure, fast and reliable data transfer. IEEE 802.15.4 is used at its physical layer with variable data slots. This paper presents the results of the simulation of ZigBee, WirelessHART and ISA100 protocols done using Castalia. This paper compares and discusses the simulated results obtained from all three protocols.

[1]  A. Flammini,et al.  Performance assessment of a WirelessHART network in a real-world testbed , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[2]  Tarek R. Sheltami,et al.  An efficient MAC scheme in wireless sensor network with energy harvesting (EHWSN) for cloud based applications , 2015, 2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops).

[3]  Kristijan Lenac,et al.  Pymote: High Level Python Library for Event-Based Simulation and Evaluation of Distributed Algorithms , 2013, Int. J. Distributed Sens. Networks.

[4]  Jean-Pierre Thomesse,et al.  Fieldbus Technology in Industrial Automation , 2005, Proceedings of the IEEE.

[5]  Rudolf Hornig,et al.  An overview of the OMNeT++ simulation environment , 2008, Simutools 2008.

[6]  Dong-Sung Kim,et al.  Performance evaluation of priority CSMA-CA mechanism on ISA100.11a wireless network , 2010, 5th International Conference on Computer Sciences and Convergence Information Technology.

[7]  Kamal Harb,et al.  Industrial Wireless Sensor Networks in the perspective of diversity and spectral efficiency , 2013, 2013 IEEE 11th Malaysia International Conference on Communications (MICC).

[8]  Carlo Fischione,et al.  A generalized Markov chain model for effective analysis of slotted IEEE 802.15.4 , 2009, 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems.

[9]  Lavy Libman,et al.  Experiences and Lessons from Implementing a Wireless Sensor Network MAC Protocol in the Castalia Simulator , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[10]  Hyuk Lim,et al.  J-Sim: a simulation and emulation environment for wireless sensor networks , 2006, IEEE Wireless Communications.

[11]  Jean-Pierre Thomesse Fieldbus Technology and Industrial Automation , 2005, 2005 IEEE Conference on Emerging Technologies and Factory Automation.

[12]  Song Han,et al.  WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control , 2008, 2008 IEEE Real-Time and Embedded Technology and Applications Symposium.

[13]  John D. Hunter,et al.  Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.

[14]  Qutaiba Ibrahem Ali,et al.  Simulation & performance study of wireless sensor network (WSN) using MATLAB , 2010, 2010 1st International Conference on Energy, Power and Control (EPC-IQ).

[15]  Wajih Abu-Al-Saud,et al.  Practical vs. Simulated Results of ISA100 Physical Layer , 2015, 2015 6th International Conference on Intelligent Systems, Modelling and Simulation.