Prolong Stability Period in Node Pairing Protocol for Wireless Sensor Networks

Document Type : Original Article

Authors

1 Research Scholar, A.P.J. Abdul Kalam Technical University, Lucknow

2 Harcourt Butler Technical University, Kanpur

3 Computer Application Department, UIET, CSJM University, Kanpur

Abstract

Wireless sensor networks are efficient way to monitor important parameters in various fields of science and engineering. These sensors are battery operated and in each round of transmission some energy is used. Therefore, over the period of time battery drains, and thus effect the stability period of the networks. To conserve battery nodes are divided as normal and advance nodes. The energy of the advanced nodes is higher than normal nodes. Further clustering mechanism is used to reduce energy dissipation. In this paper we have proposed a mechanism by which stability period, network lifetime and throughput can be increased significantly. The proposed mechanism considers S-SEP protocol and nodes are coupled to form pairs, then number of clusters and radius of the clusters are optimized such that isolated nodes are zero. It is found that using proposed mechanism stability period can be improved by 17% in comparison to recently proposed work.

Keywords


  1. Jiang Q, Ma J, Lu X, Tian Y. “An efficient two-factor user authentication scheme with unlinkability for wireless sensor networks.” Peer-to-Peer Networking and Applications, 8, No. 6, (2015), 1070-1081. https://doi.org/10.1007/s12083-014-0285-z
  2. Wang F, Liu J. “Networked wireless sensor data collection: issues, challenges, and approaches,” Communications Surveys & Tutorials, Vol. 13, No. 4, (2011), 673-687.10.1109/SURV.2011.060710.00066.
  3. Tiwari A, Ballal P, Lewis FL. “Energy-efficient wireless sensor network design and implementation for condition-based maintenance”. ACM Transactions on Sensor Networks (TOSN), 3, No. 1, (2007), https://doi.org/10.1145/1210669.1210670.
  4. Akyildiz IF, Lee W-Y, Vuran MC, Mohanty S. “NeXt generation/dynamic spectrum access/cognitive radio wireless

 

 

 

 

 

 

 

networks: a survey” Computer Networks, Vol. 50, No. 13, (2006), 2127-2159. https://doi.org/10.1016/j.comnet.2006.05.001

  1. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E. “A survey on sensor networks. Communications Magazine, IEEE.; Vol. 40, No.8, (2002), 102-110. 1109/MCOM.2002.1024422
  2. Hosseinirad, S. M., “A Hierarchy Topology Design Using a Hybrid Evolutionary Algorithm in Wireless Sensor Networks”, International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 10, (2018), 1651-1658. 5829/ije.2018.31.10a.06
  3. Ahmadi, M., Jameii, S. M., “A Secure Routing Algorithm for Underwater Wireless Sensor Networks”, International Journal of Engineering, Transactions A: Basics, 31, No. 10, (2018), 1659-1665. 10.5829/ije.2018.31.10a.07
  4. Kia, G., and A. Hassanzadeh. "HYREP: A hybrid low-power protocol for wireless sensor networks." International Journal of Engineering, Transactions A: Basics, 32, No. 4 (2019): 519-527.10.5829/ije.2019.32.04a.09
  5. Faisal, S., Javaid, N., Javaid, A., Khan, M.A., Bouk, S.H. and Khan, Z.A., “Z-SEP: Zonal-stable election protocol for wireless sensor networks” arXiv preprint arXiv:1303.5364.
  6. Sharma, N., Singh, K. and Singh, B.M., “Sectorial Stable Election Protocol for Wireless Sensor Network,” Journal of Engineering Science and Technology, 13, No. 5, (2018) 1222-1236.
  7. Amit Yadav, Narendra Kohli, Anil Kumar Yadav, “An Advanced Node Pairing Protocol for Wireless Sensor Networks” International Journal of Integrated Engineering, Vol. 13, No. 1, (2021), 75-87.30880/ijie.2021.13.01.008
  8. Heinzelman, W., Chandrakasan, A., and Balakrishnan, H., "Energy-Efficient Communication Protocols for Wireless Microsensor Networks", Proceedings of the 33rd Hawaaian International Conference on Systems Science (HICSS), January 2000.1109/HICSS.2000.926982
  9. Smaragdakis G, Matta I, Bestavros A, editors. “SEP: A stable election protocol for clustered heterogeneous wireless sensor networks.” Second international workshop on sensor and actor network protocols and applications (SANPA 2004); 2004.
  10. Khan, M.A., Qureshi, M.A., Raza, I. and Hussain, S.A., “EECP-EI: energy-efficient clustering protocol based on energy intervals for wireless sensor networks.” In Proceedings of the International Conference on Information and Communication Technology (113-119). ACM. (2019). 1145/3321289.3321316
  11. Elbhiri, R. Saadane, S.Fldhi and D. Aboutajdine. “Developed distributedenergy-efcient clustering (DDEEC) for heterogeneous wireless sensor network,” in:5th International Symposium on I/V Communications and Mobile Networks (ISVC), (2010), 10.1109/ISVC.2010.5656252
  12. Qing, Q. Zhu, and M. Wang. “Design of a distributed energy-efcientclustering algorithm for heterogeneous wireless sensor networks,” Computer Communications, Vol. 29, (2002), No. 12, 2230-2237. https://doi.org/10.1016/j.comcom.2006.02.017
  13. Ayoub, N., Asad, M., Aslam, M., Gao, Z., Munir, E. U., Tobji, R. “MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks.” In 2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) (1-6), IEEE. 1109/PACRIM.2017.8121915