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ISSN (Online): 2212-4047

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Research Article

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

Author(s): Mahendra Ram, Sushil Kumar*, Arvind Kumar and Rupak Kharel

Volume 16, Issue 3, 2022

Published on: 17 September, 2021

Article ID: e170921196577 Pages: 13

DOI: 10.2174/1872212115666210917093436

Abstract

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.

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

Graphical Abstract

[1]
O. Kaiwartya, A.H. Abdullah, Y. Cao, J. Lloret, S. Kumar, R.R. Shah, M. Prasad, and S. Prakash, "Virtualization in wireless sensor networks: Fault tolerant embedding for internet of things", IEEE Interne. Things J., vol. 5, no. 2, pp. 571-580, 2017.
[http://dx.doi.org/10.1109/JIOT.2017.2717704]
[2]
L. Farhan, S.T. Shukur, A.E. Alissa, M. Alrweg, U. Raza, and R. Kharel, "A survey on the challenges and opportunities of the Internet of Things (IoT)", 2017 eleventh international conference on sensing technology (ICST), 2017pp. 1-5 Sydney, NSW
[http://dx.doi.org/10.1109/ICSensT.2017.8304465]
[3]
A. Khasawneh, M. Latiff, O. Kaiwartya, and H. Chizari, "Next forwarding node selection in underwater wireless sensor networks (UWSNs): Techniques and challenges", Information, vol. 8, no. 1, p. 3, 2016.
[http://dx.doi.org/10.3390/info8010003]
[4]
L. Farhan, O. Kaiwartya, L. Alzubaidi, W. Gheth, E. Dimla, and R. Kharel, "Toward interference aware iot framework: Energy and geo-location-based-modeling", IEEE Access, vol. 7, pp. 56617-56630, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2913899]
[5]
L. Farhan, R. Kharel, O. Kaiwartya, M. Hammoudeh, and B. Adebisi, "Towards green computing for Internet of things: Energy oriented path and message scheduling approach", Sustainable Cities and Society, vol. 38, pp. 195-204, 2018.
[http://dx.doi.org/10.1016/j.scs.2017.12.018]
[6]
A. Singh, S. Kumar, and O. Kaiwartya, "A hybrid localization algorithm for wireless sensor networks", Procedia Comput. Sci., vol. 57, pp. 1432-1439, 2015.
[http://dx.doi.org/10.1016/j.procs.2015.07.464]
[7]
O. Kaiwartya, S. Kumar, and A.H. Abdullah, "Analytical model of deployment methods for application of sensors in non-hostile environment", Wirel. Pers. Commun., vol. 97, no. 1, pp. 1517-1536, 2017.
[http://dx.doi.org/10.1007/s11277-017-4584-6]
[8]
D.E. Boubiche, A.S.K. Pathan, J. Lloret, H. Zhou, S. Hong, S.O. Amin, and M.A. Feki, "Advanced industrial wireless sensor networks and intelligent IoT", IEEE Commun. Mag., vol. 56, no. 2, pp. 14-15, 2018.
[http://dx.doi.org/10.1109/MCOM.2018.8291108]
[9]
J. Zhang, Z.J. Wang, and S. Guo, "Power consumption analysis of video streaming in 4G LTE networks", Wirel. Netw., vol. 24, pp. 3083-3098, 2018.
[http://dx.doi.org/10.1007/s11276-017-1519-9]
[10]
Z. Quan, Z. Wang, T. Ye, and S. Guo, "Task scheduling for energy consumption constrained parallel applications on heterogeneous computing systems", IEEE Trans. Parallel Distrib. Syst., vol. 31, no. 5, pp. 1165-1182, 2020.
[http://dx.doi.org/10.1109/TPDS.2019.2959533]
[11]
L. Ismail, and A. Fardoun, "EATS: Energy-aware tasks scheduling in cloud computing systems", Procedia Comput. Sci., vol. 83, pp. 870-877, 2016.
[http://dx.doi.org/10.1016/j.procs.2016.04.178]
[12]
A. Cenedese, M. Luvisotto, and G. Michieletto, "Distributed clustering strategies in industrial wireless sensor networks", IEEE Trans. Industr. Inform., vol. 13, no. 1, pp. 228-237, 2016.
[http://dx.doi.org/10.1109/TII.2016.2628409]
[13]
S. Kumar, V. Kumar, O. Kaiwartya, U. Dohare, N. Kumar, and J. Lloret, "Towards green communication in wireless sensor network: GA enabled distributed zone approach", Ad Hoc Netw., p. 101903, 2019.
[http://dx.doi.org/10.1016/j.adhoc.2019.101903]
[14]
A. Khatri, S. Kumar, O. Kaiwartya, and A.H. Abdullah, "Green computing for wireless sensor networks: Optimization and Huffman coding approach", Peer-to-Peer Netw. Appl., vol. 10, no. 3, pp. 592-609, 2017.
[http://dx.doi.org/10.1007/s12083-016-0511-y]
[15]
F. Lin, C. Chen, N. Zhang, X. Guan, and X. Shen, "Autonomous channel switching: Towards efficient spectrum sharing for industrial wireless sensor networks", IEEE Intern. Things J., vol. 3, no. 2, pp. 231-243, 2015.
[http://dx.doi.org/10.1109/JIOT.2015.2490544]
[16]
K. Suto, H. Nishiyama, N. Kato, and C.W. Huang, "An energy-efficient and delay-aware wireless computing system for industrial wireless sensor networks", IEEE Access, vol. 3, pp. 1026-1035, 2015.
[http://dx.doi.org/10.1109/ACCESS.2015.2443171]
[17]
J. Lee, L. Kim, and T. Kwon, "Flexicast: Energy-efficient software integrity checks to build secure industrial wireless active sensor networks", IEEE Trans. Industr. Inform., vol. 12, no. 1, pp. 6-14, 2015.
[http://dx.doi.org/10.1109/TII.2015.2469644]
[18]
G. Han, L. Liu, J. Jiang, L. Shu, and G. Hancke, "Analysis of energy-efficient connected target coverage algorithms for industrial wireless sensor networks", IEEE Trans. Industr. Inform., vol. 13, no. 1, pp. 135-143, 2015.
[http://dx.doi.org/10.1109/TII.2015.2513767]
[19]
M.J. Herrmann, and G.G. Messier, "Cross-layer lifetime optimization for practical industrial wireless networks: A petroleum refinery case study", IEEE Trans. Industr. Inform., vol. 14, no. 8, pp. 3559-3566, 2018.
[http://dx.doi.org/10.1109/TII.2018.2819678]
[20]
K. Yu, M. Gidlund, J. Åkerberg, and M. Björkman, "Performance evaluations and measurements of the REALFLOW routing protocol in wireless industrial networks", IEEE Trans. Industr. Inform., vol. 13, no. 3, pp. 1410-1420, 2016.
[http://dx.doi.org/10.1109/TII.2016.2587842]
[21]
W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "An application- specific protocol architecture for wireless microsensor networks", IEEE Trans. Wirel. Commun., vol. 1, no. 4, pp. 60-70, 2002.
[http://dx.doi.org/10.1109/TWC.2002.804190]
[22]
F. Yu, Y. Li, F. Fang, and Q. Chen, "A new tora-based energy aware routing protocol in mobile ad hoc networks", Proc. 3rd ieee/ifip international conference in central asia on internet (ICI), pp. 1-4 2007.
[23]
J.N. Al-Karaki, R. Mustafa, and A. Kamal, "Data aggregation in wireless sensor networks- exact and approximate algorithms", Proc. IEEE workshop high performance switching and routing, pp. 241-245 Phoenix, AZ 2004.
[http://dx.doi.org/10.1109/HPSR.2004.1303478]
[24]
S. Jung, Y. Han, and T. Chung, "The concentric clustering scheme for efficient energy consumption in the pegasis", Proc. 9th international conference on advanced communication technology, vol. 1, 2007pp. 260-265 Gangwon-Do.
[http://dx.doi.org/10.1109/ICACT.2007.358351]
[25]
L. Almazaydeh, E. Abdelfattah, M. Al-Bzoor, and A. Al-Rahayfeh, "Performance evaluation of routing protocols in wireless sensor networks", Comput. Sci. Inf. Technol., vol. 2, no. 2, pp. 64-73, 2010.
[http://dx.doi.org/10.5121/ijcsit.2010.2206]
[26]
"Optimizing the waiting time of sensors in a manet to strike a balance between energy consumption and data timeliness", 2019 IEEE 25th international conference on parallel and distributed systems (ICPADS), pp. 806-813 Tianjin, China 2019.

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