Multi-Layer Cluster Based Energy Aware Routing Protocol for Internet of Things

1. Albishi, S., B. Soh, B. A. Ullah, A. F. Algarni. Challenges and Solutions for Applications and Technologies in the Internet of Things. – Procedia Computer Science, Vol. 124, 2017, pp. 608-614.10.1016/j.procs.2017.12.196Search in Google Scholar

2. Aljarrah, E. Deployment of Multi-Fuzzy Model Based Routing in RPL to Support Efficient IoT. – International Journal of Communication Networks and Information Security (IJCNIS), Vol. 9, 2017, No 3, pp. 457-465.10.17762/ijcnis.v9i3.2918Search in Google Scholar

3. Gaddour, O., K. Anis. RPL in a Nutshell: A Survey. – Computer Networks, Vol. 56, 2012, No 14, pp. 3163-3178.10.1016/j.comnet.2012.06.016Search in Google Scholar

4. Gaddour, O., K. Anis, A. Mohamed. Quality-of-Service Aware Routing for Static and Mobile IPv6-Based Low-Power and Lossy Sensor Networks Using RPL. – Ad Hoc Networks, Vol. 33, 2015, pp. 233-256.10.1016/j.adhoc.2015.05.009Search in Google Scholar

5. Heinzelman, W. B., P. A. Chandrakasan, B. Hari. An Application-Specific Protocol Architecture for Wireless Microsensor Networks. – IEEE Transactions on Wireless Communications, Vol. 1, 2002, No 4, pp. 660-670.10.1109/TWC.2002.804190Search in Google Scholar

6. Hui, L., C. Min. Research on the Distribution System Simulation of Large Company’s Logistics under Internet of Things Based on Traveling Salesman Problem Solution. – Cybernetics and Information Technologies, Vol. 16, 2016, No 5, pp. 78-87.10.1515/cait-2016-0054Search in Google Scholar

7. Jung, K., L. Jong-Yong, J. Hwa-Young. Improving Adaptive Cluster Head Selection of Teen Protocol Using Fuzzy Logic for WMSN. – Multimedia Tools and Applications, Vol. 76, 2017, No 17, pp. 18175-18190.10.1007/s11042-016-4190-8Search in Google Scholar

8. Kamgueu, P. O., N. Emmanuel, D. Thomas, F. Olivier. Fuzzy-Based Routing Metrics Combination for RPL. 2014. Https://hal.inria.fr/hal-01093965/documentSearch in Google Scholar

9. Logambigai, R., K. Arputharaj. Fuzzy Logic Based Unequal Clustering for Wireless Sensor Networks. – Wireless Networks, Vol. 22, 2016, No 3, pp. 945-957.10.1007/s11276-015-1013-1Search in Google Scholar

10. Mokhtar, S., I. Wan, H. Wan, M. N. Norita. Modeling Reservoir Water Release Decision Using Adaptive Neuro Fuzzy Inference System. – Journal of Information & Communication Technology, Vol. 15, 2016, No 2.10.32890/jict2016.15.2.7Search in Google Scholar

11. Nayak, P., D. Anurag. A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime. – IEEE Sensors Journal, Vol. 16, 2016, No 1, pp. 137-144.10.1109/JSEN.2015.2472970Search in Google Scholar

12. Othman, M., N. F. A. Siti. Deseasonalised Forecasting Model of Rainfall Distribution Using Fuzzy Time Series. – Journal of Information & Communication Technology, Vol. 15, 2016, No 2.10.32890/jict2016.15.2.8Search in Google Scholar

13. Pourjavad, E., V. R. Rene. A Comparative Study and Measuring Performance of Manufacturing Systems with Mamdani Fuzzy Inference System. – Journal of Intelligent Manufacturing, 2017, pp. 1-13.Search in Google Scholar

14. Rana, S., N. B. Ali, I. Nazrul, I. Johirul. Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks. – International Journal of Computer Network and Information Security, Vol. 7, 2015, No 4, p. 54.10.5815/ijcnis.2015.04.07Search in Google Scholar

15. Runkler, T. A. Selection of Appropriate Defuzzification Methods Using Application Specific Properties. – IEEE Transactions on Fuzzy Systems, Vol. 5, 1997, No 1, pp. 72-79.10.1109/91.554449Search in Google Scholar

16. Sankar, S., P. Srinivasan. Internet of Things (Iot): A Survey on Empowering Technologies, Research Opportunities and Applications. – International Journal of Pharmacy and Technology, Vol. 8, 2016, No 4, pp. 26117-26141.Search in Google Scholar

17. Sankar., S., P. Srinivasan. Composite Metric Based Energy Efficient Routing Protocol for Internet of Things. – International Journal of Intelligent Engineering and Systems, Vol. 10, 2017, No 5, pp. 278-286.10.22266/ijies2017.1031.30Search in Google Scholar

18. Shahra, E. Q., R. S. Tarek, M. S. Elhadi. A Comparative Study of Range-Free and Range-Based Localization Protocols for Wireless Sensor Network Using COOJA Simulator. – International Journal of Distributed Systems and Technologies (IJDST), Vol. 8, 2017, No 1, pp. 1-16.10.4018/IJDST.2017010101Search in Google Scholar

19. Shu, T., K. Marwan, V. Sarma. Power Balanced Coverage-Time Optimization for Clustered wireless Sensor Networks. – In: Proc. of 6th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2005, pp. 111-120.10.1145/1062689.1062705Search in Google Scholar

20. Tan, Y. R. RPL-Based Clustering Routing Protocol. – Internet Engineering Task Force, Internet-Draft Draft-Tan-Roll-Clustering-00, Accessed on September 2017. Https://tools.ietf.org/html/draft-tan-roll-clustering-00Search in Google Scholar

21. Tripathi, J., C. D. O. Jaudelice, V. Jean-Philippe. A Performance Evaluation Study of rpl: Routing Protocol for Low Power and Lossy Networks. – In: Proc. of 44th Annual Conference on Information Sciences and Systems (CISS), 2010, IEEE, pp. 1-6.10.1109/CISS.2010.5464820Search in Google Scholar

22. Winter, T. RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks. 2012. Https://tools.ietf.org/html/rfc6550Search in Google Scholar

23. Yijun, M., W. Bang, L. Wenyu, T. Y. Laurence. A Sink-Oriented Layered Clustering Protocol for Wireless Sensor Networks. – Mobile Networks and Applications, Vol. 18, 2013, No 5, pp. 639-650.10.1007/s11036-013-0443-1Search in Google Scholar

24. Zhang, W., L. Ling, H. Guangjie, Z. Lincong. E2HRC: An Energy-Efficient Heterogeneous Ring Clustering Routing Protocol for Wireless Sensor Networks. – IEEE Access, Vol. 5, 2017, pp. 1702-1713.10.1109/ACCESS.2017.2666818Search in Google Scholar

25. Zhang, W., H. Guangjie, F. Yongxin, L. Jaime. IRPL: An Energy Efficient Routing Protocol for Wireless Sensor Networks. – Journal of Systems Architecture, Vol. 75, 2017, pp. 35-49.10.1016/j.sysarc.2017.03.006Search in Google Scholar

26. Zhao, M., W. H. H. Ivan, P. H. J. Chong. An Energy-Efficient Region-Based RPL Routing Protocol for Low-Power and Lossy Networks. – IEEE Internet of Things Journal, Vol. 3, 2016, No 6, pp. 1319-1333.10.1109/JIOT.2016.2593438Search in Google Scholar

27. Zhao, M., H. J. C. Peter, C. C. Henry. An Energy-Efficient and Cluster-Parent Based RPL with Power-Level Refinement for Low-Power and Lossy Networks. – Computer Communications, Vol. 104, 2017, pp. 17-33.10.1016/j.comcom.2016.10.007Search in Google Scholar