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Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications

Published: 01 October 2019 Publication History

Highlights

We propose a software-defined scheme for energy efficient and QoS-aware data gathering for WSNs-based SG applications.
We propose a tree-based data forwarding mechanism for the nodes faraway to the mobile sinks for WSNs-based SG applications.
The extensive simulations conducted through the EstiNet 9.0 verify that the proposed scheme achieves its defined goals for WSNs-based SG applications.

Abstract

The smart grid is an emerging concept that introduces innovative ways to handle the power quality and reliability issues for both service provider and consumers. The key aims of the smart grid (SG) in smart cities (SCs) is to preserve a certain level of residents’ life quality and support the entire spectrum of their economic activities. In this paper, we present a novel Energy Efficient and Reliable Data Gathering Routing Protocol (ODGRP) for wireless sensor networks (WSNs)-based smart grid applications. The developed scheme employs a software-defined centralized controller and multiple mobile sinks for energy efficient and reliable data gathering from WSNs in the SG. The extensive simulation results conducted through the EstiNet 9.0 show that the designed scheme outperforms existing approaches and achieves its defined goals for event-driven applications in the SG.

References

[1]
N. Zhu, H. Zhao, IoT applications in the ecological industry chain from information security and smart city perspectives, Comput. Electr. Eng. vol. 65 (2018) 34–43.
[2]
J. Han, Y. Li, Weifeng Chen, A lightweight and privacy-preserving public cloud auditing scheme without bilinear pairings in smart cities, Comput. Stand. Interfaces (2018).
[3]
M. Faheem, S.B.H. Shah, R.A. Butt, B. Raza, M. Anwar, M.W. Ashraf, V.C. Gungor, Smart grid communication and information technologies in the perspective of Industry 4.0: opportunities and challenges, Comput. Sci. Rev. 30 (2018) 1–30.
[4]
Y. Chatei, K. Ghoumid, M. Hammouti, B. Hajji, Efficient coding techniques algorithm for cluster-heads communication in wireless sensor networks, AEU Int. J. Electron. Commun. 82 (2017) 294–304.
[5]
T. Yigitcanlar, M. Kamruzzaman, Does smart city policy lead to sustainability of cities?, Land Use Policy vol. 73 (2018) 49–58.
[6]
Z.A. Khan, Using energy-efficient trust management to protect IoT networks for smart cities, Sustain. Cities Soc. vol. 40 (2018) 1–15.
[7]
F. Al-Turjman, Mobile couriers’ selection for the smart-grid in smart-cities’ pervasive sensing, Future Gen. Comput. Syst. vol. 82 (2018) 327–341.
[8]
B.E. Bilgin, S. Baktir, V.C. Gungor, A novel data collection mechanism for smart grids using public transportation buses, Comput. Stand. Interfaces 48 (2016) 19–29.
[9]
R. Leszczyna, Cybersecurity and privacy in standards for smart grids–a comprehensive survey, Comput. Stand. Interfaces 56 (2018) 62–73.
[10]
M.H. Rehmani, A. Rachedi, M. Erol-Kantarci, M. Radenkovic, M. Reisslein, Cognitive radio based smart grid: the future of the traditional electrical grid, Ad Hoc Netw. vol. 41 (2016) 1–4.
[11]
A. Aktas, K. Erhan, S. Ozdemir, E. Ozdemir, Experimental investigation of a new smart energy management algorithm for a hybrid energy storage system in smart grid applications, Electr. Power Syst. Res. 144 (2017) 185–196.
[12]
A. Athar, M.H. Rehmani, A. Rachedi, Cognitive-radio-based Internet of Things: applications, architectures, spectrum related functionalities, and future research dIrections, IEEE Wirel. Commun. (2017).
[13]
S.B. Shah, C. Zhe, F. Yin, I.U. Khan, S. Begum, M. Faheem, et al., 3D weighted centroid algorithm & RSSI ranging model strategy for node localization in WSN based on smart devices, Sustain. Cities Soc. 39 (2018) 298–308.
[14]
N. Javaid, S. Javaid, W. Abdul, I. Ahmed, A. Almogren, A. Alamri, et al., A hybrid genetic wind driven heuristic optimization algorithm for demand side management in smart grid, Energies vol. 10 (2017) 319.
[15]
J. Wan, S. Tang, Z. Shu, D. Li, S. Wang, M. Imran, et al., Software-defined industrial internet of things in the context of industry 4.0, IEEE Sens. J. vol. 16 (2016) 7373–7380.
[16]
X. Deng, L. He, X. Li, Q. Liu, L. Cai, Z. Chen, A reliable QoS-aware routing scheme for neighbor area network in smart grid, Peer-to-Peer Netw. Appl. vol. 9 (2016) 616–627.
[17]
M. Faheem, R.A. Butt, B. Raza, M.W. Ashraf, S. Begum, M.A. Ngadi, V.C. Gungor, Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0, Trans. Emerg. Telecommun. Technol. (2018) e3503.
[18]
J. Mu, A minimum physical distance delivery protocol based on ZigBee in smart grid, EURASIP J. Wirel. Commun. Netw. 2014 (2014) 108.
[19]
I. Parvez, M. Jamei, A. Sundararajan, A.I. Sarwat, RSS based loop-free compass routing protocol for data communication in advanced metering infrastructure (AMI) of Smart Grid, in: Computational Intelligence Applications in Smart Grid (CIASG), 2014 IEEE Symposium on, 2014, pp. 1–6.
[20]
G.A. Shah, O.B. Akan, Spectrum-aware cluster-based routing for cognitive radio sensor networks, in: 2013 IEEE International Conference on Communications (ICC), 2013, pp. 2885–2889.
[21]
E. Fadel, M. Faheem, V.C. Gungor, L. Nassef, N. Akkari, M.G.A. Malik, et al., Spectrum-aware bio-inspired routing in cognitive radio sensor networks for smart grid applications, Comput. Commun. vol. 101 (2017) 106–120.
[22]
M. Erol-Kantarci, H.T. Mouftah, Wireless sensor networks for cost-efficient residential energy management in the smart grid, IEEE Trans. Smart Grid vol. 2 (2011) 314–325.
[23]
H. Farooq, L. Tang Jung, Energy, traffic load, and link quality aware Ad Hoc routing protocol for wireless sensor network based smart metering infrastructure, Int. J. Distrib. Sens. Netw. vol. 9 (2013).
[24]
K. Kim, S.-i. Jin, Branch-based centralized data collection for smart grids using wireless sensor networks, Sensors vol. 15 (2015) 11854–11872.
[25]
G.A. Shah, V.C. Gungor, O.B. Akan, A cross-layer QoS-aware communication framework in cognitive radio sensor networks for smart grid applications, IEEE Trans. Ind. Informat. vol. 9 (2013) 1477–1485.
[26]
H. Wang, Y. Qian, H. Sharif, Multimedia communications over cognitive radio networks for smart grid applications, Wirel. Commun. IEEE vol. 20 (2013) 125–132.
[27]
S. Kim, Biform game based cognitive radio scheme for smart grid communications, J. Commun. Netw. vol. 14 (2012) 614–618.
[28]
M. Abo-Zahhad, S.M. Ahmed, N. Sabor, S. Sasaki, Mobile sink-based adaptive immune energy-efficient clustering protocol for improving the lifetime and stability period of wireless sensor networks, IEEE Sens. J. vol. 15 (2015) 4576–4586.
[29]
A. Kaswan, N. Kumar, P.K. Jana, Energy efficient path selection for mobile sink and data gathering in wireless sensor networks, AEU Int. J. Electron. Commun. 73 (2017) 110–118.
[30]
A. Agrawal, V. Singh, S. Jain, R.K. Gupta, GCRP: grid-cycle routing protocol for wireless sensor network with mobile sink, AEU Int. J. Electron. Commun. 94 (2018) 1–11.
[31]
M. Faheem, V.C. Gungor, MQRP: mobile sinks-based QoS-aware data gathering protocol for wireless sensor networks-based smart grid applications in the context of industry 4.0-based on internet of things, Future Gen. Comput. Syst. 82 (2018) 358–374.
[32]
S.H. Ahmed, S.H. Bouk, D. Kim, D.B. Rawat, H. Song, Named data networking for software defined vehicular networks, IEEE Commun. Mag. vol. 55 (2017) 60–66.
[33]
R. Niu, A. Vempaty, P.K. Varshney, Received-signal-strength-based localization in wireless sensor networks, Proc. IEEE (2018) 1–17.
[34]
V.C. Gungor, B. Lu, G.P. Hancke, Opportunities and challenges of wireless sensor networks in smart grid, IEEE Trans. Ind. Electron. vol. 57 (2010) 3557–3564.
[35]
M. Faheem, M.Z. Abbas, G. Tuna, V.C. Gungor, EDHRP: energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks, J. Netw. Comput. Appl. vol. 58 (2015) 309–326. 12//.

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            cover image Computer Standards & Interfaces
            Computer Standards & Interfaces  Volume 66, Issue C
            Oct 2019
            376 pages

            Publisher

            Elsevier Science Publishers B. V.

            Netherlands

            Publication History

            Published: 01 October 2019

            Author Tags

            1. Internet of Things
            2. Software-defined networking
            3. Wireless sensor network
            4. Smart grid
            5. Smart cities

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