Background: The industrial wireless automation system enables the monitoring and
control of processes. It may be difficult to recharge the battery of sensors installed in harmful
environments. Hence optimization of the power is the major issue to be addressed while implementing
the network. The proposed hybrid data transmission approaches optimize data accuracy
and energy efficiency of a wireless sensor node deployed in any industry.
Methods: In the time-driven method, the sensor nodes periodically sense the environment and
transmit the data continuously over time. In the event-driven method, the sensor nodes transmit
data only when there is a drastic change in the occurrence of a certain event.
Results: Based on the nature of the process, applications are classified as, less critical, critical and
most critical. The time-driven based hybrid transmission approach is suggested for the most
critical applications because they need to be monitored continuously so as to attain data accuracy.
In the case of critical applications, the data is not required to be sent continuously, but instead it
can be sampled and transmitted once in two seconds. Though the above suggested methods
intended to provide better outcomes in terms of power utilization, in the case of process control
applications, most critical and critical applications need to be monitored continuously. Hence such
applications could be done as a heterogeneous industrial automation network, which is the combination
of wired and wireless connectivity. This can be implemented by replacing all the signal
cables with wireless communication system, regular power supply must be provided for the radio
module attached with final control elements and also to the transmitters involved in most critical
applications. For the least critical applications, the data can be sampled and transmitted once in
Conclusion: Simulation has been performed for time-driven based and duty-cycling based hybrid
transmission approaches. The results can guide process engineers in selecting the transmission
approach for optimizing the power of IWAS based on the critical level of the process. In the case
of a critical process, the time-driven based hybrid transmission approach may be used, and in the
case of a less critical process, the duty-cycling based hybrid transmission approach could be selected.
By selecting appropriate transmission approach the life time of IWAS could be improved.