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

S. Sankar; P. Srinivasan

doi:10.2478/cait-2018-0040

.blurhash-client-img { display: none !important; }

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

Cybernetics and Information Technologies

Volume 18 (2018): Issue 3 (September 2018)

By: S. Sankar and P. Srinivasan

Open Access

|Sep 2018

Abstract

We propose a multi-layer cluster based energy aware routing protocol for Low Power and Lossy Networks, which divides the network area into equal length rings. The intra-ring clustering process divides a ring into equal sized clusters and inter-cluster routing applies the fuzzy logic to select the best route for data transfer. It increases the network lifetime and packet delivery ratio by 18-22% and 5-8%, respectively.

References

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.2017.12.196
Search in Google Scholar Back to article
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.v9i3.2918
Search in Google Scholar Back to article
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.2012.06.016
Search in Google Scholar Back to article
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.2015.05.009
Search in Google Scholar Back to article
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.2002.804190
Search in Google Scholar Back to article
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-2016-0054
Search in Google Scholar Back to article
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/s11042-016-4190-8
Search in Google Scholar Back to article
8. Kamgueu, P. O., N. Emmanuel, D. Thomas, F. Olivier. Fuzzy-Based Routing Metrics Combination for RPL. 2014. Https://hal.inria.fr/hal-01093965/document
Search in Google Scholar Back to article
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/s11276-015-1013-1
Search in Google Scholar Back to article
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/jict2016.15.2.7
Search in Google Scholar Back to article
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.2015.2472970
Search in Google Scholar Back to article
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/jict2016.15.2.8
Search in Google Scholar Back to article
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 Back to article
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.2015.04.07
Search in Google Scholar Back to article
15. Runkler, T. A. Selection of Appropriate Defuzzification Methods Using Application Specific Properties. – IEEE Transactions on Fuzzy Systems, Vol. 5, 1997, No 1, pp. 72-79.10.1109/91.554449
Search in Google Scholar Back to article
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 Back to article
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/ijies2017.1031.30
Search in Google Scholar Back to article
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.2017010101
Search in Google Scholar Back to article
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. 111-120.10.1145/1062689.1062705
Search in Google Scholar Back to article
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-00
Search in Google Scholar Back to article
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.2010.5464820
Search in Google Scholar Back to article
22. Winter, T. RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks. 2012. Https://tools.ietf.org/html/rfc6550
Search in Google Scholar Back to article
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/s11036-013-0443-1
Search in Google Scholar Back to article
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.2017.2666818
Search in Google Scholar Back to article
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.2017.03.006
Search in Google Scholar Back to article
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.2016.2593438
Search in Google Scholar Back to article
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.2016.10.007
Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.2478/cait-2018-0040 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

Journal RSS Feed

Language: English

Page range: 75 - 92

Submitted on: May 4, 2018

Accepted on: Aug 15, 2018

Published on: Sep 19, 2018

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Internet of things,

low power and lossy networks,

IPv6 routing protocol for low power and lossy networks,

cluster head,

cluster member

Related subjects:

Computer sciences,

Information technology

© 2018 S. Sankar, P. Srinivasan, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 18 (2018): Issue 3 (September 2018)