TOPQoS : TENSOR Based Optimum Path Selection in Internet of Things to Enhance Quality of Service

Authors(2) :-A. Dalvin Vinoth Kumar, L. Arockiam

The electronic devices or gadgets that are connected to the internet play a prominent role among human beings in this new era. The things connected together bring smartness to the network. The smart Network of the things or objects is termed as Internet of Things (IoT). IoT acts as a bridge between the Internet world and the real world. It changes the ordinary devices into smart devices by adding intelligence to the system which is connected to the Internet. The routing protocol for IoT needs to satisfy the applications needed for lossy sensor nodes. In this paper, the Light weight On-demand Ad-hoc Distance Vector routing protocol - Next Generation (LOADng) is enhanced to achieve QoS by optimum path selection. The proposed Tensor Based Optimum Path (TOP) identification technique dynamically identifies optimum path Using TENSOR model. The proposed work is implemented using cooja IoT simulator.

Authors and Affiliations

A. Dalvin Vinoth Kumar
Research Scholar, Department of Computer Science, St. Joseph's College (Autonomous), Thiruchirapalli, Tamil Nadu, India
L. Arockiam
Associate Professor, Department of Computer Science, St. Joseph's College (Autonomous), Thiruchirapalli, Tamil Nadu, India

Internet of Things, Quality of Service,Smart home, PDR, Packet Loss,Timeliness Contiki.

  1. Domingo and Mari Carmen. "An overview of the Internet of Things for people with disabilities." Journal of Network and Computer Applications, vol.  35 no.2, 2012, pp. 584-596.
  2. Buratti, Chiara, Andrea Stajkic, Gordana Gardasevic, Sebastiano Milardo, M. Danilo Abrignani, Stefan Mijovic, Giacomo Morabito, and RobertoVerdone, "Testing Protocols for the Internet of Things on the EuWIn Platform", IEEE Internet of Things Journal , vol.3, no.1,  2016, pp.124-133.
  3. Ala Al-Fuqaha, Guizani, Mehdi Mohammadi, Mohammed Aledhari and Moussa Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols and Applications”, IEEE Communications Surveys  and Tutorials, vol.17, no. 4, 2015, pp. 2347 – 2376.
  4. Md. Mahmud Hossain, Maziar Fotouhi, and Ragib Hasan, “Towards an Analysis of Security Issues, Challenges, and Open Problems in the Internet of Things”, IEEE World Congress on Services, 2015, pp. 21-28.
  5. Jiang, Dingde, Peng Zhang, Zhihan Lv,  Houbing Song. "Energy-efficient Multi-constraint Routing Algorithm with Load Balancing for Smart City Applications", IEEE Internet of Things Journal, 2016, pp.1-11.
  6. Shantha Mary Joshitta R, L. Arockiam. “A Neoteric Authentication Scheme for IoT Healthcare System”, International Journal of Engineering Sciences & Research Technology, vol. 5, no. 12, 2016, pp. 296 – 303.
  7. Oosterlinck, Dieter, Dries F. Benoit, Philippe Baecke, and Nico Van de Weghe. "Bluetooth tracking of humans in an indoor environment: An application to shopping mall visits", Applied Geography, vol. 78, 2017,pp. 55-65.
  8. Ghazanfari-Rad, Saeed, Fabrice Labeau. "Formulation and Analysis of LMS Adaptive Networks for Distributed Estimation in the Presence of Transmission Errors", IEEE Internet of Things Journal ,vol. 3, No.2, 2016,pp. 146-160.
  9. Gang Sun, Victor Chang, Muthu Ramachandran, Zhili Sun, Gangmin Li, Hongfang Yu, Dan Liao. “Efficient Location Privacy Algorithm for Internetof Things (IoT) Services and Applications”, Journal of Network and Computer Applications, 2016, pp.1-19.
  10. Le.A.,Loo,J.,Lasebae,A.,Aiash,M.Luo,Y. 6LoWPAN: ”A study on QoS security threats and countermeasures using intrusion detection system approach”. International Journal of Communication Systems, vol.25, No.9, 2012, pp. 1189-1212.
  11. Kumar, A. Dalvin Vinoth, PD Sheba Kezia Malarchelvi, and L. Arockiam. "CALDUEL: Cost And Load overhead reDUction for routE discovery in LOAD ProtocoL." Advances in Computer and Computational Sciences. Springer, Singapore, 2017. pp. 229-237.
  12. T. Winter, P. Thubert, A. Brandt, T. Clausen, J. Hui, R. Kelsey, P. Levis, K. Pister, R. Struik, J. Vasseur, RPL: IPv6 routing protocol for low-power and lossy networks, IETF RFC 6550, 2012, pp.  41-49.
  13. E2TBR: Energy Efficient Transmission Based Routing for IoT Networks, International Journal of Computer Science Engineering and Information Technology Research, vol. 7, no. 4, 2017, pp. 93-100
  14. Yi, Jiazi, Thomas Clausen, and Yuichi Igarashi. "Evaluation of routing protocol for low power and Lossy Networks: LOADng and RPL." Wireless Sensor (ICWISE), 2013 IEEE Conference on. IEEE, 2013, pp. 1-6.
  15. PD Sheba Kezia Malarchelvi, A. Dalvin Vinoth Kumar,  and L. Arockiam. "CALDUEL: Cost And Load overhead reDUction for routE discovery in LOAD ProtocoL." Advances in Computer and Computational Sciences. Springer, Singapore, 2017. Pp. 229-237.
  16. Shih, C. S., Li, C. H., and Chou, J. J,  “Distributed QoS Aware Meta-Routing for IoT/CPS”, In Cyber-Physical Systems, Networks, and Applications, 2016,  pp. 66-70.
  17. Jayakkumar, M., P. Calduwel Newton, and A. DalvinVinothKumar. "MIDURR: A technique to minimize the duplication of route requests in Mobile Ad-Hoc Networks", Soft-Computing and Networks Security, 2015, pp. 1-5.
  18. A. Dalvin Vinoth kumar and L. Arockiam, “Route Discovery Overhead Aware Routing Protocol for IoT to Enhance QoS”, International Journal of Control Theory and Applications, vol. 9, no. 27, 2016, pp. 249.254.
  19.  A. Dalvin Vinoth kumar, A. Vithya Vijayalakshmi, and L. Arockiam. "Statistical Approaches on Multidisciplinary”, Surragh Publishers 2017, pp. 165-171.
  20.  Bell, John E., and Patrick R. McMullen. "Ant colony optimization techniques for the vehicle routing problem", Advanced engineering informatics, vol. 18, no.1, 2004, pp. 41-48.
  21. Kelly, Sean Dieter Tebje, Nagender Kumar Suryadevara, and Subhas Chandra Mukhopadhyay. "Towards the implementation of IoT for environmental condition monitoring in homes", IEEE Sensors Journal, vol. 13, no. 10, 2013, pp. 3846-3853.
  22.  Wu, Naiqi, and MengChu Zhou. "Avoiding deadlock and reducing starvation and blocking in automated manufacturing systems", IEEE Transactions on Robotics and Automation, vol. 17, no. 5, 2001, pp. 658-669.
  23.  Ingber, Lester, et al. "Adaptive simulated annealing." Stochastic global optimization and its applications with fuzzy adaptive simulated annealing. Springer Berlin Heidelberg, 2012, pp. 33-62.
  24. Han, Chong, Josep Miquel Jornet, Etimad Fadel, and Ian F. Akyildiz. "A cross-layer communication module for the Internet of Things", Computer Networks, vol. 57, no. 3, 2013, pp. 622-633.
  25. Bello, Oladayo, and Sherali Zeadally. "Intelligent device-to-device communication in the internet of things", IEEE Systems Journal, vol. 10, no. 3, 2016, pp. 1172-1182.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 852-859
Manuscript Number : CSEIT1726200
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

A. Dalvin Vinoth Kumar, L. Arockiam, "TOPQoS : TENSOR Based Optimum Path Selection in Internet of Things to Enhance Quality of Service", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.852-859, November-December-2017.
Journal URL :

Article Preview