Multi DODAGs in RPL for Reliable Smart City IoT

Authors

  • A. Sebastian Department of Computer Science and Applications, Gandhigram Rural Institute, Dindigul, India
  • S. Sivagurunathan Department of Computer Science and Applications, Gandhigram Rural Institute, Dindigul, India

DOI:

https://doi.org/10.13052/2245-1439.716

Keywords:

Internet of Things, Smart City, RPL, Multi DODAGs

Abstract

Internet of Things technology has given rise to Smart Cities, Smart Health, Smart Transport Logistics, Smart Production and Supply chain management, Smart Home and the list is long. Smart city deployments are gaining momentum around the world. Security and Reliability of IoT infrastructure in smart cities remain important challenges. In this regard, ROLL-WG has standardised RPL for urban environment (RFC 5548). RPL is designed to address the needs of constrained IoT environment. RPL uses Objective Functions (ETX & Hop Count) to optimise parent selection as well as route selection. Newer Objective Functions for IoT applications are suggested by researchers to manage network and security. In this paper, we propose Multi DODAG’s in RPL for improved performance and reliable smart city applications.We have tested the proposed model in Contiki OS with Cooja simulator. Proposed model provides improved efficiency in convergence time, Packet Delivery Ratio, Control Traffic Overhead, Power consumption. For reliability, node participation is evaluated. Hence, Multi DODAG’s in RPLcan better optimize constrained resources and provide reliability to the network.

 

Downloads

Download data is not yet available.

Author Biographies

A. Sebastian, Department of Computer Science and Applications, Gandhigram Rural Institute, Dindigul, India

A. Sebastian is a Ph.D. student at in the department of Computer science and applications at Gandhigram Rural Institute, Dindigul, India since 2015. He attended St. Joseph’s College, Tiruchirapalli where he received his B.Sc. in Physics in 1999. He went on to graduate M.C.A. in Computer Applications from Loyola College, Chennai in 2006. His Ph.D work centers on Internet of Things for smart city applications and load balancing in RPL routing Protocol. His research aresa also include IoT Network security and Data Science.

S. Sivagurunathan, Department of Computer Science and Applications, Gandhigram Rural Institute, Dindigul, India

S. Sivagurunathan is Assistant Professor in the Department of Computer Science and Applications at Gandhigram Rural Insttute, Dindigul, India. His specializations are Mobile Ad Hoc Networks, Internet of Things and Cloud Computing. He has 19 years of teaching experience and 8 years of research experience. He has guided one phd and presently guiding 3 Ph.D. students. He has many research publications and book chapters in leading international and national journals under his credit.

References

Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J., and Leung, K. (2013). A survey on the ietf protocol suite for the internet of things: Standards, challenges, and opportunities. IEEE Wireless Communications, 20(6), 91–98.

Focus Group Technical Report. (2015) ITU-T Focus Group on Smart Sustainable Cities: Cybersecurity, data protection and cyber resilience in smart sustainable cities, [Online]. pp. 1–22. Available: http://www.itu.int/itu-t/climatechange.

Sivagurunathan. S., et al. (2016), Connectivity Framework for smart Devices, edited by Zaigham Mahmood, Computer and Communications Network, Springer, 307–331

Gaddour, O., Kouba, A., and Abid, M. (2015). Quality-of-service aware routing for static and mobile IPv6-based low-power and lossy sensor networks using RPL. Ad Hoc Networks, 33, 233–256.

Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J., and Leung, K. (2013). A survey on the ietf protocol suite for the internet of things: Standards, challenges, and opportunities. IEEE Wireless Communications, 20(6), 91–98.

Saad, L. B., Chauvenet, C., and Tourancheau, B. (2011). Simulation of the RPL Routing Protocol for IPv6 Sensor Networks: two cases studies. In International Conference on Sensor Technologies and Applications SENSORCOMM 2011. IARIA.

Barr, S., Guilbert, S., Metcalfe, A., Riley, M., Robinson, G. M., and Tudor, T. L. (2013). Beyond recycling: An integrated approach for understanding municipal waste management. Applied Geography, 39, 67–77.

Bendouda, D., Mokdad, L., and Haffaf, H. (2015). Method for fault management with RPL protocol in WSNs. Procedia Computer Science, 73, 395–402.

Machado, K., Rosrio, D., Cerqueira, E., Loureiro, A. A., Neto, A., and de Souza, J. N. (2013). A routing protocol based on energy and link quality for internet of things applications. sensors, 13(2), 1942–1964.

Almobaideen, W., Krayshan, R., Allan, M., and Saadeh, M. (2016). Internet of Things: Geographical Routing based on healthcare centers vicinity for mobile smart tourism destination. Technological Forecasting and Social Change, .0–1 123

Gomes, P. H., Watteyne, T., Gosh, P., and Krishnamachari, B. (2016). Reliability through Time-Slotted Channel Hopping and Flooding-based Routing. In International Conference on Embedded Wireless Systems and Networks (EWSN), Dependability Competition.

Capone, S., Brama, R., Accettura, N., Striccoli, D., and Boggia, G. (2014). An energy efficient and reliable composite metric for RPL organized networks. In 12th IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 178–184.

Nejad, H. M., Movahhedinia, N., and Khayyambashi, M. R. (2017). Provisioning required reliability of wireless data communication in smart grid neighborhood area networks. The Journal of Supercomputing, 73(2), 866–886.

Kantert, J., Tomforde, S., von Zengen, G., Weber, S., Wolf, L., and Mller-Schloer, C. (2016). Improving Reliability and Reducing Overhead in Low-Power Sensor Networks Using Trust and Forgiveness. In IEEE International Conference on Autonomic Computing (ICAC), 325–333.

Iova, O., Theoleyre, F., and Noel, T. (2015). Exploiting multiple parents in RPL to improve both the network lifetime and its stability. In IEEE International Conference on Communications (ICC), 610–616.

Liu, Q., Lv, H., and Yang, N. (2015). Reliability Enhanced RPL for Wireless Sensor Networks. 1431–1434.

Downloads

Published

2018-01-08

How to Cite

1.
Sebastian A, Sivagurunathan S. Multi DODAGs in RPL for Reliable Smart City IoT. JCSANDM [Internet]. 2018 Jan. 8 [cited 2024 Mar. 29];7(1-2):69-86. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/5277

Issue

Section

Articles