Threshold-Based Energy-Estimated Distributed Routing Algorithm in Wireless Sensor Network

Authors(2) :-Umesh Kumbhalkar, Dr. Sharad Gangele

different areas. Recent advancements in Internet of Things (IoT) offered plenty of advantages over conventional sensors and provided the researchers to spring up a tiny, low powered, low-cost, and multi-functional sensor devices. So many algorithms have been proposed for battery power optimization to enhance the network lifetime of the wireless sensor network. WSNs have embedded one time battery backup and once the network is positioned, they works until battery power become dead. So the optimization of battery power in sensor node becomes a challenging issue for research point of view. In this paper, threshold-based energy-estimated distributed routing algorithm (TBEEDRA) as a reactive algorithm is proposed with three various energy levels. TBEEDRA utilizes the energy-estimated ratio to select cluster head in the distributed sensor network which significantly improves network lifetime and throughput.

Authors and Affiliations

Umesh Kumbhalkar
Department of Computer Science & Application, RKDF University, Bhopal, India
Dr. Sharad Gangele
Department of Computer Science & Application, RKDF University, Bhopal, India

Wireless Sensor Networks, Clustering, Routing Algorithm, Energy Efficiency, Network Lifetime, Throughput, TBEEDRA.

  1. Nicholas M. Boers, Pawel Gburzynski, Ioanis Nikolaidis, and Wlodek Olesinski. Developing wireless sensor network applications in a virtual environment. Telecommunication Systems, 45(2):165–176, 2010.
  2. Lisane Brisolara, Paulo R. Ferreira, and Leandro Soares Indrusiak. Application modeling for performance evaluation on event-triggered wireless sensor networks. Design Automation for Embedded Systems, pages 1–19, 2016.
  3. Suan Khai Chong, Mohamed Medhat Gaber, Shonali Krishnaswamy, and Seng Wai Loke. Energy conservation in wireless sensor networks: a rule-based approach. Knowledge and Information Systems, 28(3):579– 614, 2011.
  4. Deiaa Eid, Amr Yousef, and Ali Elrashidi. Ecg signal transmissions performance over wearable wireless sensor networks. Procedia Computer Science, 65:412–421, 2015.
  5. B. Elbhiri, R. Saadane, S. El fldhi, and D. Aboutajdine. Developed distributed energy-efficient clustering (ddeec) for heterogeneous wireless sensor networks. In I/V Communications and Mobile Network (ISVC),2010 5th International Symposium on, pages 1–4. IEEE, Sept 2010.
  6. S. Emami. Parallel battery configuration for coin cell operated wireless sensor networks. In 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pages 2317–2320, Sept 2013.
  7. Yang Gui, Zhi-gang Tao, Chang-jun Wang, and Xing Xie. Study on remote monitoring system for landslide hazard based on wireless sensor network and its application. Journal of Coal Science and Engineering (China), 17(4):464–468, 2011.
  8. Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan. Energy efficient communication protocol for wireless micro sensor networks. In Proceedings of the 33rd Hawaii International Conference on System Sciences (HICSS-33), pages 1–10, New York, USA, 2010. IEEE.
  9. Nadeem Javaid, Muhammad Babar Rasheed, Muhammad Imran, Mohsen Guizani, Zahoor Ali Khan, Turki Ali Alghamdi, and Manzoor Ilahi. An energy-efficient distributed clustering algorithm for heterogeneous wsns. EURASIP Journal on Wireless Communications and Networking, 2015(1):1 – 11, June 2015.
  10. L. Jian-qi, C. Bin-fang, W. Li, and W. Wen-Hu. Energy optimized approach based on clustering routing protocol for wireless sensor networks. In 2013 25th Chinese Control and Decision Conference (CCDC),pages 3710–3715. IEEE, May 2013.
  11. Mauri Kuorilehto, Marko Hannikainen, and Timo D. Hamalainen. A survey of application distribution in wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 2005(5):1–15, 2005.
  12. C. Ma and Y. Yang. Battery-aware routing for streaming data transmissions in wireless sensor networks. In 2nd International Conference on Broadband Networks, 2005., pages 464–473 Vol. 1. IEEE, Oct 2005.
  13. Sudip Misra and Sumit Goswami. Routing in Wireless Sensor Networks. Wiley Telecom, 2014.
  14. Sachi Pandey and R.P. Mahapatra. A centralized comparison of energy efficient routing protocol for mobile and static wireless sensor network. Procedia Computer Science, 48:467–471, 2015.
  15. Li Qing, Qingxin Zhu, and Mingwen Wang. Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Computer Communications, 29(12):2230–2237, August 2006.
  16. Hossain Saboonchi, Didem Ozevin, and Minoo Kabir. Mems sensor fusion: Acoustic emission and strain. Sensors and Actuators A: PhysicalVolume, 247(15):566–578, August 2016.
  17. P. Saini and A. K. Sharma. E-deec- enhanced distributed energy efficient clustering scheme for heterogeneous wsn. In Parallel Distributed and Grid Computing (PDGC), 2010 1st International Conference on, pages 205–210. IEEE, Oct 2010.
  18. Hongwen Sun, Minqi Yin, Wangtong Wei, Jiacheng Li, Haibin Wang, and Xin Jin. Mems based energy harvesting for the internet of things: a survey. Microsystem Technologies, Feb 2018.
  19. B. A. Warneke and K. S. J. Pister. Mems for distributed wireless sensor networks. In Electronics, Circuits and Systems, 2002. 9th International Conference on, volume 1, pages 291–294 vol.1. IEEE, 2002.
  20. Ren Yueqing and Xu Lixin. A study on topological characteristics of wireless sensor network based on complex network. In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), volume 15, pages V15–486–V15–489. IEEE, Oct 2010.

Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 149-158
Manuscript Number : IJSRSET184916
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Umesh Kumbhalkar, Dr. Sharad Gangele, " Threshold-Based Energy-Estimated Distributed Routing Algorithm in Wireless Sensor Network , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.149-158, July-August.2018

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