MDRP: An Energy-Efficient Multi-Disjoint Routing protocol in WSNs for Smart Grids
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References
- AbdulAlim, M. A., Wu, Y. C. and Wang, W. 2013. A fuzzy based clustering protocol for energy-efficient wireless sensor networks. Advanced Materials Research 760: 685–690.
- Alfayez, F., Hammoudeh, M. and Abuarqoub, A. 2015. A survey on macprotocols for duty cycled wireless sensor networks. Procedia Computer Science 73: 482–489.
- Aliouat, Z. and Aliouat, M. 2012. Efficient management of energy budget for pegasis routing protocol. 2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), IEEE, 516–521.
- Anees, J., Zhang, H. -C., Baig, S. and Lougou, B. G. 2019. Energy-efficient multi-disjoint path opportunistic node connection routing protocol in wireless sensor networks for smart grids. Sensors 19(17): 1–32.
- Bagci, H. and Yazici, A. 2013. An energy aware fuzzy approach to unequal clustering in wireless sensor networks. Applied Soft Computing 13(4): 1741–1749.
- Biswas, S. and Morris, R. 2005. Exor: opportunistic multi-hop routing for wireless networks. Proceedings of the 2005 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, 133–144.
- Boukerche, A. and Darehshoorzadeh, A. 2015. Opportunistic routing in wireless networks: models, algorithms, and classifications. ACM Computing Surveys (CSUR) 47(2): 1–36.
- Chang, D., Cho, K., Choi, N., Choi, Y., Chang, D. H. C. C. and Choi, Y. 2012. “A probabilistic and opportunistic flooding algorithm in wireless sensor networks”, Computer Communications, 35(4): 500–506.
- Ever, E., Luchmun, R., Mostarda, L., Navarra, A. and Shah, P. 2012. Uheed-an unequal clustering algorithm for wireless sensor networks In proceedings of the first international conference on sensor networks (SENSORNETS-2012), pp. 185–193.
- Fadel, E., Gungor, V. C., Nassef, L., Akkari, N., Malik, M. A., Almasri, S. and Akyildiz, I. F. 2015. A survey on wireless sensor networks for smart grid. Computer Communications 71: 22–33.
- Fang, X., Misra, S., Xue, G. and Yang, D. 2011. Smart grid – the new and improved power grid: a survey. IEEE Communications Surveys & Tutorials 14(4): 944–980.
- Ghosaland, A. and Conti, M. 2019. Key management systems for smart grid advanced metering infrastructure: a survey. IEEE Communications Surveys & Tutorials 21(3): 2831–2848.
- Guntupalli, L., Martinez-Bauset, J. and Li, F. Y. 2018. Performance of frame transmissions and event-triggered sleeping in duty-cycled WSNs with error-prone wireless links. Computer Networks 134: 215–227.
- Heinzelman, W. R., Chandrakasan, A. and Balakrishnan, H. 2000. Energy-efficient communication protocol for wireless microsensor networks. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, IEEE, 10 pp.
- Jian-wu, Z., Ying-ying, J., Ji-ji, Z. and Cheng-lei, Y. 2008. A weighted clustering algorithm based routing protocol in wireless sensor networks. 2008 ISECS International Colloquium on Computing, Communication, Control, and Management, IEEE, 2:599–602.
- Julie, E. G. and Selvi, S. 2016. Development of energy efficient clustering protocol in wireless sensor network using neuro-fuzzy approach. The Scientific World Journal 2016, pp. 1–8.
- Kaiwartya, O., Abdullah, A. H., Cao, Y., Lloret, J., Kumar, S., Shah, R. R., Prasad, M. and Prakash, S. 2017. Virtualization in wireless sensor networks: fault tolerant embedding for internet of things. IEEE Internet of Things Journal 5(2): 571–580.
- Lai, X., Ji, X., Zhou, X. and Chen, L. 2017. Energy efficient link-delay aware routing in wireless sensor networks. IEEE Sensors Journal 18(2): 837–848.
- Ma, R., Chen, H. -H., Huang, Y. -R. and Meng, W. 2013. Smart grid communication: its challenges and opportunities. IEEE Transactions on Smart Grid 4(1): 36–46.
- Mahmood, M. A., Seah, W. K. and Welch, I. 2015. Reliability in wireless sensor networks: a survey and challenges ahead. Computer Networks 79: 166–187.
- Mhemed, R., Aslam, N., Phillips, W. and Comeau, F. 2012. An energy efficient fuzzy logic cluster formation protocol in wireless sensor networks. Procedia Computer Science 10: 255–262.
- Mothku, S. K. and Rout, R. R. 2019. Adaptive fuzzy-based energy and delay-aware routing protocol for a heterogeneous sensor network. Journal of Computer Networks and Communications 2019, pp. 1–11.
- Ng, K. -P., Tsimenidis, C. and Woo, W. L. 2017. C-sync: counter-based synchronization for duty-cycled wireless sensor networks. Ad Hoc Networks 61: 51–64.
- NIST. 2013. NIST “sg NIST”, available at: https://www.nist.gov/el/smart-grid (accessed October 16, 2019).
- Priya, D. et al. 2017. An energy efficient link stability based routing scheme for wireless sensor networks. 2017 International Conference on Communication and Signal Processing (ICCSP), IEEE, 1828–1832.
- Selvi, M., Logambigai, R., Ganapathy, S., Ramesh, L. S., Nehemiah, H. K. and Arputharaj, K. 2016. Fuzzy temporal approach for energy efficient routing in WSN. Proceedings of the International Conference on Informatics and Analytics, 1–5.
- Ullah, R., Faheem, Y. and Kim, B. -S. 2017. Energy and congestion-aware routing metric for smart grid ami networks in smart city. IEEE Access 5: 13799–13810.
- Yang, G., Peng, Z. and He, X. 2018. Data collection based on opportunistic node connections in wireless sensor networks. Sensors 18(11): 1–26.
- Younis, O. and Fahmy, S. 2004. Heed: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing no. 4: 366–379.
- Yu, J., Qi, Y. and Wang, G. 2011. An energy-driven unequal clustering protocol for heterogeneous wireless sensor networks. Journal of Control Theory and Applications 9(1): 133–139.
- Yu, J., Qi, Y., Wang, G. and Gu, X. 2012. A cluster-based routing protocol for wireless sensor networks with nonuniform node distribution. AEU – International Journal of Electronics and Communications 66(1): 54–61.
- Zaheeruddin, Z., Lobiyal, D. and Pathak, A. 2017. “Energy-aware bee colony approach to extend lifespan of wireless sensor network”, Australian Journal of Multi-Disciplinary Engineering, 13(1): 29–46.
- Zeng, Y., Li, D. and Vasilakos, A. V. 2013. Real-time data report and task execution in wireless sensor and actuator networks using self-aware mobile actuators. Computer Communications 36(9): 988–997.
- Zhang, Y. and Huang, Q. 2006. A learning-based adaptive routing tree for wireless sensor networks. Journal of Communications 1(2): 12–21.
DOI: https://doi.org/10.21307/ijssis-2020-016 | Journal eISSN: 1178-5608
Language: English
Page range: 1 - 15
Submitted on: Mar 4, 2020
Published on: Aug 18, 2020
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2020 K. Deepa, Zaheeruddin,, Shruti Vashist, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.