Background:
Enabling industrial environment with automation is growing trend due to
the recent developments as industry 4.0 centric production. The industrial wireless sensor network
environments have a number of constraints, including densely deployed nodes, delay constraint for
mechanical operation, and access constraints due to node position within instruments. The related
literature have applied existing models of wireless sensor network in industrial environment without appropriate updating in the different layers of communication, which results in performance
degradation in realistic industrial scenario.
Method:
This paper presents a framework for Energy Oriented Cross Layer Data Dissemination
Path (E-CLD2
P) towards enabling green computing in industrial wireless sensor network environments. It is a cross-layer design approach considering deployment of sensors at the physical layer
up to data dissemination at the network layer and smart services at application layer. In particular,
an energy centric virtual circular deployment visualization model is presented focusing on physical
layer signal transmission characteristics in industrial WSNs scenario. A delay centric angular striping is designed for cluster based angular transmission to support deadline constrained industrial
operation in the WSNs environments. Algorithms for energy centric delivery path formulation and
node’s role transfer are developed to support green computing in restricted access industrial WSNs
scenario.
Results:
The green computing framework is implemented to evaluate the performance in a realistic
industrial WSNs environment.
Conclusion:
The performance evaluation attests the benefits in terms of number of metrics in realistic industrial constrained environments.
Optimisation-based time slot assignment and synchronisation for TDMA MAC in industrial wireless sensor network
