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Green Computing for Industrial Wireless Sensor Networks: Energy oriented Cross Layer Modelling


Mahendra Ram, Sushil Kumar*, Arvind Kumar and Rupak Kharel   Pages 1 - 13 ( 13 )


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-CLD2P) 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.


Green computing, wireless sensor networks, energy optimization, cross layer modeling, circular deployment, data dissemination.


School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi-110067, School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi-110067, Department of Computer Science and Engineering in School of Computing Science and Engineering, Galgotias University, Greater Noida, Gautam Buddh Nagar, Uttar Pradesh, Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, M1 5GD

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