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Energy Efficient Multitier Random DEC Routing Protocols for WSN: In Agricultural

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Abstract

A network of wireless sensor (WSNs) is formed by connecting thousands of miniature nodes. They are capable of sensing, communicating wirelessly and computing parameters. The life of a wireless sensor node depends upon its energy. Thus a main technical challenge in WSN is energy saving in the network. The principal needs of any wireless sensors network is its energy efficiency and security which could be influenced by presence of various malicious nodes. The major limiting constraint for sensor nodes is its limited energy required to transmit every data packet. LEACH PEGASIS, DEC and SEP are the several WSN probabilistic routing protocols to save energy throughout data transmission. The prime goals of the protocol implementation are the energy saving and heterogeneity maintenance. The contribution of paper is to describe the fundamentals of all mentioned protocols and basic structure of WSN and a homogeneous efficient DEC based novel election probability based multitier random probability protocol or agricultural wireless sensors network is proposed. It is found that modifications are capable of selecting the cluster heads homogeneously. Due to its better distribution capacity the protocol is energy efficient. The comparative analysis of performance matrices of above protocol is accomplished.

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References

  1. Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000, January). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd annual Hawaii international conference on system sciences (pp. 10-pp). IEEE.

  2. Aderohunmu, F. A., Deng, J. D., & Purvis, M. (2011). Enhancing clustering in wireless sensor networks with energy heterogeneity. International Journal of Business Data Communications and Networking (IJBDCN), 7(4), 18–31

    Article  Google Scholar 

  3. Mehmood, A., Lv, Z., Lloret, J., & Umar, M. M. (2017). ELDC: An artificial neural network based energy-efficient and robust routing scheme for pollution monitoring in WSNs. IEEE Transactions on Emerging Topics in Computing, 8(1), 106–114

    Article  Google Scholar 

  4. Koyuncu, H., Tomar, G. S., & Sharma, D. (2020). A new energy efficient multitier deterministic energy-efficient clustering routing protocol for wireless sensor networks. Symmetry, 9(9), 1–15

    Google Scholar 

  5. Wu, F., Chen, T., Zhong, S., Li, L. E., & Yang, Y. R. (2008, September). Incentive-compatible opportunistic routing for wireless networks. In Proceedings of the 14th ACM international conference on mobile computing and networking (pp. 303–314).

  6. Singh, O., Rishiwal, V., & Yadav, M. (2016). Energy trends of routing protocols for H-WSN. In 2nd international conference on advances in computing, communication, & automation (ICACCA) (Fall) (pp. 1–4).

  7. Khushbu, A. K. (2016). Improved performance of mobility aware energy efficient congestion control in mobile wireless sensor networks by LEACH-1R. In 8th international conference on computational intelligence and communication networks (CICN) (pp. 31–36).

  8. Tiwari, A., Ballal, P., & Lewis, F. L. (2007). Energy-efficient wireless sensor network design and implementation for condition-based maintenance. ACM Transactions on Sensor Networks (TOSN), 3(1), 1-es

    Article  Google Scholar 

  9. Smaragdakis, G., Matta, I., & Bestavros, A. (2004). SEP: A stable election protocol for clustered heterogeneous wireless sensor networks. Boston University Computer Science Department.

  10. Gobriel, S. (2008). Energy-efficient design of adhoc and sensor networks (Doctoral dissertation, University of Pittsburgh).

  11. Sheikhpour, R., Jabbehdari, S., & Khadem-Zadeh, A. (2011). Comparison of energy efficient clustering protocols in heterogeneous wireless sensor networks. International Journal of Advanced Science and Technology, 36, 27–40

    Google Scholar 

  12. Kumar, B., & Sharma, V. K. (2012). Distance based cluster head selection algorithm for wireless sensor network. International Journal of Computer Applications, 57(9), 41–45.

    Google Scholar 

  13. Lee, J. Y., Jung, K., Jung, H., & Lee, D. (2014). Improving the energy efficiency of a cluster head election for wireless sensor networks. International Journal of Distributed Sensor Networks, 10(3), 305037

    Article  Google Scholar 

  14. Chaudhary, R., & Vatta, S. (2014). Performance optimization of WSN using deterministic energy efficient clustering protocol: A review. International organization of Scientific Research Journal of Engineering, 4(3), 23–30.

    Google Scholar 

  15. Sharma, D., & Tomar, G. S. (2020). Comparative energy evaluation of LEACH protocol for monitoring soil parameter in wireless sensors network. Materials Today: Proceedings, 29, 372–380

    Google Scholar 

  16. Kaur, L., & Jalandhar, G. R. (2012). Energy-efficient routing protocols in wireless sensor networks: A survey. International Journal of Computer Applications, 975, 8887

    Google Scholar 

  17. Kim, K. T., & Youn, H. Y. (2015). An energy-efficient and scalable routing protocol for distributed wireless sensor networks. Adhoc & Sensor Wireless Networks, 29, 1–6.

    Google Scholar 

  18. Mehmood, A., Lloret, J., & Sendra, S. (2016). A secure and low-energy zone-based wireless sensor networks routing protocol for pollution monitoring. Wireless Communications and Mobile Computing, 16(17), 2869–2883

    Article  Google Scholar 

  19. Raghavendra, Y. M., & Mahadevaswamy, U. B. (2020). Energy efficient routing in wireless sensor network based on composite fuzzy methods. Wireless Personal Communications, 113(3), 1–10

    Google Scholar 

  20. Estrin, D., Govindan, R., Heidemann, J., & Kumar, S. (1999, August). Next century challenges: Scalable coordination in sensor networks. In Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking (pp. 263–270).

  21. Li, L., & Li, D. (2018). An energy-balanced routing protocol for a wireless sensor network. Journal of Sensors, 1–12.

  22. Gomathi, R. M., Martin Leo Manickam, J., Sivasangari, A., & Ajitha, P. (2020). Energy efficient dynamic clustering routing protocol in underwater wireless sensor networks. International Journal of Networking and Virtual Organisations, 22(4), 415–432.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Amity University, Gwalior, Madhya Pradesh, 474005, India

    Dinesh Sharma

  2. Rajkiya Engineering College, Sonbhadra, Uttar Pradesh, 231206, India

    Geetam Singh Tomar

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  1. Dinesh Sharma
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  2. Geetam Singh Tomar
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Correspondence to Geetam Singh Tomar.

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Sharma, D., Tomar, G.S. Energy Efficient Multitier Random DEC Routing Protocols for WSN: In Agricultural. Wireless Pers Commun 120, 727–747 (2021). https://doi.org/10.1007/s11277-021-08486-0

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