Industrial Wireless Sensor Network with OMNET++ Simulation, by Zeena Mohammed, University of Technology, Iraq

1. Industrial Wireless Sensor Networks
with OMNET++ Simulation
Zena Mohammed

2. Introduction
Industrial Wireless Sensor Networks (IWSNs) brings
several advantages over traditional wired industrial
monitoring and control systems, including:
• Self-organization
• Rapid deployment
• Flexibility
• Inherent intelligent-processing capability.

3. Design Goals
1. Low-cost and small sensor nodes
2. Scalable architectures and efficient protocols
3. Data fusion and localized processing
4. Resource-efficient design
5. Self-configuration and self-organization
6. Adaptive network operation
7. Time synchronization
8. Fault tolerance and reliability
9. Application-specific design
10. Secure design

4. Challenges
1. Resource constraints:
a) energy
b) memory
c) processing
2. Dynamic topologies and harsh environmental conditions
3. Quality-of-service (QoS) requirements
4. Data redundancy
5. Packet errors and variable-link capacity
6. Security
7. Large-scale deployment and ad hoc architecture
8. Integration with Internet and other networks

6. Industrial Applications
• Networks of wired sensors have long been used in industrial fields
such as industrial sensing and control applications, building
automation, and access control. However, the cost associated with the
deployment of wired sensors limits the applicability of these systems.
Some of the commercial applications are :
monitoring material fatigue; building virtual keyboards; managing
inventory; monitoring product quality; constructing smart office spaces;
environmental control of office buildings; robot control and guidance in
automatic manufacturing environments; interactive toys; interactive
museums; factory process control and automation; monitoring disaster
areas; smart structures with embedded sensor nodes; machine diagnosis;
transportation; factory instrumentation; local control of actuators;
detecting and monitoring car theft; vehicle tracking and detection;
instrumentation of semiconductor processing chambers, rotating
machinery, wind tunnels, and anechoic chambers; and distributed
spectrum sensing to help realize cognitive radio networks

7. FabApp illustrates a practical implementation of the cluster-based
protocols for industrial applications.

9. • Emerson Process Management has developed a
Smart Wireless Network using WirelessHart products
which is automating temperature and flow monitoring to
increase production on the company’s Gullfaks offshore
platforms in the northern part of the Norwegian North
Sea. Needing a monitoring approach able to be installed
without interrupting flow, operators are using wireless
devices to transmit real time data that monitors
temperature and flow. The developed WSN is allowing
quick reaction to any loss of well pressure and
maximizing throughput from the well.

11. Protection through wide-area situational awareness (WASA)

12. Protection through wide-area situational awareness (WASA)

13. Widely used standards in IWSNs
A. ZigBee : a mesh-networking standard based on IEEE
802.15.4 radio technology targeted at industrial control and
monitoring, building and home automation, embedded sensing,
and energy system automation.
B. Wireless HART: its an extension of the HART protocol
and is specifically designed for process monitoring and control.
The technology employs IEEE 802.15.4-based radio, frequency
hopping, redundant data paths, and retry mechanisms.

14. C. Ultrawideband (UWB) is a short-range
wireless communication technology based on
transmission of very short impulses emitted in
periodic sequences.
D. IETF 6LoWPAN: aims for standard IP communication
over low-power wireless IEEE 802.15.4 networks utilizing
IP version 6 (IPv6).
E. ISA100 :The ISA100 working group is focused
on a reliable wireless communication system for
monitoring and control applications.

16. The Simulation
Using OMNeT++ with MixiM framework.
• Application Layer: Sensor Application Layer
• Network Layer:
o Flooding
o Wise Route
o Probabilistic Broadcast
o Adaptive Probabilistic Broadcast
• NIC Protocol:
o 802.11
• Mobility: Static