Prototype Survey of Different Energy Optimization and Routing Approaches in Wireless Sensor Networks

Authors

  • G. Mohan Ram  Assistant Professor, Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women (SVECW), Kovvada, Andhra Pradesh, India
  • M. V. Subba Rao  Assistant Professor, Department of Information Technology, Vishnu Institute of Technology (VITB), Kovvada, Andhra Pradesh, India
  • T. Kesava  Assistant Professor, Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women (SVECW), Kovvada, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT195460

Keywords:

Wireless Communication, Routing Algorithms, Routing Protocol Hierarchy, Energy Aware Routing, Wireless Sensor Networks And Energy Optimization.

Abstract

For personal, mobiles and sensor communications wireless sensor networking are an emerging concept in recent years. Normally wireless sensor network (WSN) is combined and integrated data relations for modern communication in infrastructure, energy efficiency; these are the main design parameters to improve network performance with respect to mitigate communication relations. This paper describes different types of energy optimization techniques/approaches and basic routing scenarios used for efficient communication in wireless sensor networks. We also give brief description about different routing protocols to support data communication in wireless sensor networks. And also define different routing algorithms used in data communication to increase network efficiency with respect to different network parameters. In this survey, discuss about energy optimization approaches in wireless sensor networks, and also define several techniques which aim energy consumption in wireless nodes in WSNs.

References

  1. Oday Jerew 1 and Nizar Al Bassam,” Delay Tolerance and Energy Saving in Wireless Sensor Networks with a Mobile Base Station”, Hindawi Wireless Communications and Mobile Computing Volume 2019, Article ID 3929876, 12 pages https://doi.org/10.1155/2019/3929876.
  2. Habib Mostafaei,"Energy-Efficient Algorithm for Reliable Routing of Wireless Sensor Networks", Citation information: DOI 10.1109/TIE.2018.2869345, IEEE Transactions on Industrial Electronics.
  3. ZHANGBING ZHOU1,2, JIABEI XU1, ZHENJIANG ZHANG3,4, FEI LEI5, AND WEI FANG1,"Energy-Efficient Optimization for Concurrent Compositions of WSN Service", Digital Object Identifier 10.1109/ACCESS.2017.2752756.
  4. H.Huang and A. V. Savkin, “Optimalpathplanning for a vehicle collecting data in a wireless sensor network,” in Proceedings of the Chinese Control Conference (CCC ’16), pp. 8460–8463, IEEE, July 2016
  5. O. D. Jerew and N. A. Bassam, “Energy aware and delaytolerant data gathering in sensor networks with a mobile sink,” in Proceedings of the MEC International Conference on Big Data and Smart City (ICBDSC ’16), pp. 1–5, IEEE, March 2016.
  6. F. N. Huang, T. Y. Chen, S. H. Chen, H. W. Wei, T. S. Hsu, and W. K. Shih, “ShareEnergy: Configuring Mobile Relays to Extend Sensor Networks Lifetime Based on Residual Power,” in Proceedings of the International Conference on Collaboration Technologies and Systems (CTS ’16), pp. 478–484, IEEE, Oct 2016.
  7. C. Cheng and C. Yu, “Mobile data gathering with bounded relay in wireless sensor network,” IEEE Internet of Things Journal, pp. 1–16, 2018.
  8. M. Mishra, K. Nitesh, and P. K. Jana, “A delay-bound efficient path design algorithm for mobile sink in wireless sensor networks,” in Proceedings of the 3rd International Conference on Recent Advances in Information Technology (RAIT ’16), pp. 72– 77, IEEE, 2016
  9. C. Zhu, S.Wu,G. Han, L. Shu, and H.Wu, “A tree-cluster-based data-gathering algorithm for industrial WSNs with a mobile sink,” IEEE Access, vol. 3, no. 4, pp. 381–396, 2015.
  10. J.-Y. Chang and T.-H. Shen, “An efficient tree-based power saving scheme for wireless sensor networks with mobile sink,” IEEE Sensors Journal, vol. 16, no. 20, pp. 7545–7557, 2016.
  11. A. Kaswan, P. K. Jana, and M. Azharuddin, “A delay efficient path selection strategy for mobile sink in wireless sensor networks,” in Proceedings of the 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI ’17), pp. 168–173, IEEE, 2017.
  12. E. M. Saad, M. H. Awadalla, M. A. Saleh, H. Keshk, and R. R. Darwish, “Adata gathering algorithm for a mobile sink in largescale sensor networks,” in Proceedings of the 4th International Conference on Wireless and Mobile Communications (ICWMC ’08), pp. 207–213, IEEE, 2008.
  13. D. Zhang, X.Wang, X. Song, and D. Zhao, “A novel approach to mapped correlation of id for rfid anti-collision,” IEEE Transactions on Services Computing, vol. 7, no. 4, pp. 741–748, 2014.
  14. L. Cheng, J. Niu, J. Cao, S. K. Das, and Y. Gu, “Qos aware geographic opportunistic routing in wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 7, pp. 1864–1875, July 2014.
  15. J. Niu, L. Cheng, Y. Gu, L. Shu, and S. K. Das, “R3e: Reliable reactive routing enhancement for wireless sensor networks,” IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 784–794, Feb 2014.
  16. J. So and H. Byun, “Load-balanced opportunistic routing for duty-cycled wireless sensor networks,” IEEE Transactions on Mobile Computing, vol. 16, no. 7, pp. 1940–1955, 2017
  17. X. Bai, L. Liu, M. Cao, J. Panneerselvam, Q. Sun, and H.Wang, ``Collaborative actuation of wireless sensor and actuator networks for the agriculture industry,'' IEEE Access, vol. 5, pp. 1328613296, 2017
  18. T. Qiu, A. Zhao, F. Xia,W. Si, and D. O.Wu, ``ROSE: Robustness strategy for scale-free wireless sensor networks,'' IEEE/ACM Trans. Netw., to be published, doi: 10.1109/TNET.2017.2713530.
  19. R. Morabito, I. Farris, A. Iera, and T. Taleb, ``Evaluating performance of containerized IoT services for clustered devices at the network edge,'' IEEE Internet Things J., vol. 4, no. 4, pp. 10191030, Aug. 2017.
  20. S. N. Han, S. Park, G. M. Lee, and N. Crespi, ``Extending the devices prole for Web services standard using a REST proxy,'' IEEE Internet Comput., vol. 19, no. 1, pp. 1017, Jan. 2015.
  21. I.-Y. Ko, H.-G. Ko, A. J. Molina, and J.-H. Kwon, ``SoIoT: Toward a user-centric IoT-based service framework,'' ACM Trans. Internet Technol., vol. 16, no. 2, p. 8, 2016.
  22. I.-R. Chen, J. Guo, and F. Bao, ``Trust management for SOA-based IoT and its application to service composition,'' IEEE Trans. Service Computing, vol. 9, no. 3, pp. 482495, May 2016.
  23. A. Rahman, E. Hassanain, and M. S. Hossain, ``Towards a secure mobile edge computing framework for Hajj,'' IEEE Access, vol. 5, pp. 1176811781, 2017
  24. C. Pham, N. H. Tran, S. Reny, W. Saad, and C. S. Hong, ``Trafc-aware and energy-efcient vNF placement for service chaining: Joint sampling and matching approach,'' IEEE Trans. Service Computing, to be published, doi: 10.1109/TSC.2017.2671867.
  25. T. Wang, L. Cheng, K. Zhang, and J. Liu, ``Energy-aware service composition algorithms for service-oriented heterogeneous wireless sensor networks,'' Int. J. Distrib. Sensor Netw., vol. 46, no. 4, p. 217102, 2014.
  26. T. Qiu, K. Zheng, H. Song, M. Han, and B. Kantarci, ``A local-optimization emergency scheduling scheme with self-recovery for smart grid,'' IEEE Trans. Ind. Informat., to be published, doi: 10.1109/TII.2017.2715844.
  27. J. Bellido and R. Alarcón, and C. Pautasso, ``Control-ow patterns for decentralized restful service composition,'' ACM Trans. Web, vol. 8, no. 1, pp. 5-15-30, 2013.
  28. S. Y. Shah, B. K. Szymanski, P. Zerfos, and C. Gibson, ``Towards relevancy aware service oriented systems in WSNs,'' IEEE Trans. Service Computing, vol. 9, no. 2, pp. 304316, Mar. 2016.
  29. T. Qiu, R. Qiao, and D. Wu, “EABS: An event-aware backpressure scheduling scheme for emergency Internet of Things,'' IEEE Trans. Service Computing. doi: 10.1109/TMC.2017.2702670.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-09-30

Issue

Volume 5, Issue 5, September-October-2019

Section

Research Articles

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How to Cite

[1]
G. Mohan Ram, M. V. Subba Rao, T. Kesava, " Prototype Survey of Different Energy Optimization and Routing Approaches in Wireless Sensor Networks, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 5, pp.01-09, September-October-2019. Available at doi : https://doi.org/10.32628/CSEIT195460