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Maximizing WSN Life Using Power Efficient Grid-Chain Routing Protocol (PEGCP)

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Abstract

Recently, wireless sensor networks (WSNs) attracted the attention of searchers, due to the critical role in several applications like environmental monitoring, habitat study, military surveillance, smart homes, and patient observation. Because nodes energy sources are limited, the consumption of energy is the major problem in WSN that directly affects the performance of WSN. Now there is a necessity for a different protocol considering energy consumption, for this a mixture between chain transmission and grid clustering chosen. In this article, we present the “Power Efficient Grid-Chain Routing Protocol in WSN” protocol to extend the vitality of the network. In the first phase, the grid algorithm applied to divide the nodes into virtual cells. Then the data transmissions used chain transmission in intra-cluster and in inter-cluster, where each node communicates with their neighbor. Our proposed submitted protocol simulated in MATLAB. The simulations demonstrated that our protocol maximizes the stability of the network and reduced the energy consumption best than protocol LEACH.

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References

  1. Anastasi, G., Conti, M., Di Francesco, M., & Passarella, A. (2009). Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks, 7(3), 537–568. https://doi.org/10.1016/j.adhoc.2008.06.003.

    Article  Google Scholar 

  2. Hammoudeh, M., & Newman, R. (2015). Adaptive routing in wireless sensor networks: QoS optimisation for enhanced application performance. Information Fusion, 22, 3–15.

    Article  Google Scholar 

  3. Liu, X. (2012). A survey on clustering routing protocols in wireless sensor networks. Sensors, 12(8), 11113–11153. https://doi.org/10.3390/s120811113.

    Article  Google Scholar 

  4. Thakkar, A., & Kotecha, K. (2015). A new bollinger band based energy efficient routing for clustered wireless sensor network. Applied Soft Computing, 32, 144–153. https://doi.org/10.1016/j.asoc.2015.03.018.

    Article  Google Scholar 

  5. Wang, N. C., Chiang, Y. K., & Hsieh, C. H. (2014). A path-based approach for data aggregation in grid-based wireless sensor networks. Journal of Electronic Science and Technology, 12(3), 313–317. https://doi.org/10.3969/j.issn.1674-862X.2014.03.013.

    Article  Google Scholar 

  6. Zhou, Z., Xiang, X., Wang, X., & Pan, J. (2006). An energy-efficient data-dissemination protocol in wireless sensor networks. In Proceedings of the 2006 international symposium on world of wireless, mobile and multimedia networks June WOWMOM ‘06 2006 (pp. 13–22). https://doi.org/10.1109/WOWMOM.2006.24.

  7. Sharma, T. P., Joshi, R. C., & Misra, M. (2008). GBDD: Grid based data dissemination in wireless sensor networks. In Proceedings of the 16th international conference on advanced computing and communications (ADCOM’08) (pp. 234–240), IEEE, Chennai, India, December 2008. https://doi.org/10.1109/adcom.2008.4760454.

  8. Chen, C., He, Z., Sun, H., Kuang, J., Bai D-M., & Yang, C. (2010). A grid-based energy efficient routing protocol in wireless sensor networks. National Major Project of Science and Technology, China (Grant No. 2010 ZX03006-002-03).

  9. Ismail, W. Z. W., & Manaf S. A. (2010). Study on coverage in wireless sensor network using grid based strategy and particle swarm optimization. In Proceedings of the Asia pacific conference on circuits and system (APCCAS ‘10) (pp. 1175–1178), IEEE, Kuala Lumpur, Malaysia, December 2010. https://doi.org/10.1109/apccas.2010.5775080.

  10. Chiang, Y. K., Wang, N.C., & Hsieh C. H. (2013). Cycle-based data aggregation for grid-based wireless sensor networks. In IMIS ‘13: Proceedings of the 2013 seventh international conference on innovative mobile and internet services in ubiquitous computing, July 2013 (pp. 348–353). https://doi.org/10.1109/IMIS.2013.65.

  11. Zeng, J. (2013). A clustering method of combining grid and genetic algorithm in wireless sensor networks. In Proceedings of the international conference on information engineering and applications (IEA) 2012 (vol. 3, pp. 773–779), London: Springer. https://doi.org/10.1007/978-1-4471-4847-0-95.

  12. Chi, Y.-P., & Chang, H.-P. (2013). An energy-aware grid-based routing scheme for wireless sensor networks. Telecommunication Systems, 54, 405–415. https://doi.org/10.1007/s11235-013-9742-x.

    Article  Google Scholar 

  13. Chen, C., He, Z., Sun, H., Kuang, J., Bai, D.-M., & Yang, C. (2013). A grid-based energy efficient routing protocol in wireless sensor networks. In Proceedings of the international symposium on wireless and pervasive computing (ISWPC’13) (pp. 1–6), Taipei, Taiwan, November 2013. https://doi.org/10.1109/iswpc.2013.6707444.

  14. Abdullah, M., Nour, Eldin H., Al-Moshadak, T., Alshaik, R., & Al-Anesi, I. (2015). Density grid-based clustering for wireless sensors networks. Procedia Computer Science, 65(2015), 35–47. https://doi.org/10.1016/j.procs.2015.09.074.

    Article  Google Scholar 

  15. Lin, H., Wang, L., & Kong, R. (2015). Energy efficient clustering protocol for large-scale sensor networks. IEEE Sensors Journal, 15(12), 7150–7160.

    Article  Google Scholar 

  16. Pant, M., Dey, B., & Nandi, S. (2015). A multi hop routing protocol for wireless sensor network based on grid clustering. Applications and Innovations in Mobile Computing (AIMoC). https://doi.org/10.1109/AIMOC.2015.7083842.

    Article  Google Scholar 

  17. Amsalu, S., Zegeye, W., Hailemariam, D., Astatke, Y., & Moazzami, F. (2016). Energy efficient grid clustering hierarchy (GCH). In Routing protocol for wireless sensor networks, IEEE 7th annual ubiquitous computing, electronics & mobile communication conference (UEMCON) 978-1-5090-1496-5/16© 2016 IEEE. https://doi.org/10.1109/uemcon.2016.7777835.

  18. Lalitha, K., Thangaraja, R., Siba, K. U., Poongodi, C., & Prasad, S. A. (2017). GCCR: An efficient grid based clustering and combinational routing in wireless sensor networks. Wireless Personal Communications. https://doi.org/10.1007/s11277-017-4554-z.

    Article  Google Scholar 

  19. Nelofar, A., Kewen, X., Muhammad, T. H., & Muhammad, U. H. (2017). Energy-aware adaptive weighted grid clustering algorithm for renewable wireless sensor networks. Future Internet, 9, 54. https://doi.org/10.3390/fi9040054.

    Article  Google Scholar 

  20. Marhoon, H. A., Mahmuddin, M., & Shahrudin, A. N. (2015). Chain-based routing protocols in wireless sensor networks: A survey. Asian Research Publishing Network (ARPN) Journal of Engineering and Applied Sciences, 10(3), 1389–1398.

    Google Scholar 

  21. Madhumathy, P., & Sivakumar, D. (2012). A comparative analysis of clustering based routing techniques for WSN. International Journal of Scientifc & Engineering Research, 3(10), 1–5.

    Article  Google Scholar 

  22. Lindsey, S., & Raghavendra, C. S. (2001). PEGASIS : Power-efficient gathering in sensor information systems IEEE. In Proceedings of IEEE aerospace conference (pp. 1125–1130).

  23. Lindsey, S., Raghavendra, C., & Sivalingam, K. M. (2002). Data gathering algorithms in sensor networks using energy metrics. IEEE Transactions, 13(9), 924–935.

    Google Scholar 

  24. Tang, F., You, I., Guo, S., Guo, M., & Ma, Y. (2010). A chain-cluster based routing algorithm for wireless sensor networksJournal of Intelligent Manufacturing, 23(4), 1305–1313. https://doi.org/10.1007/s10845-010-0413-4.

    Article  Google Scholar 

  25. Ahn, K. S., Kim, D. G., Sim, B. S., Youn, H. Y., & Song, O. (2011). Balanced chain-based routing protocol (BCBRP) for energy efficient wireless sensor networks. In 2011 IEEE ninth international symposium on parallel and distributed processing with applications workshops (pp. 227–231). https://doi.org/10.1109/ISPAW.2011.71.

  26. Taghikhaki, Z., Meratnia, N., & Havinga, P. J. (2013). Reliable and energy-efficient chain-cluster based routing protocol for wireless sensor networks. In 2013 IEEE eighth international conference on intelligent sensors, sensor networks and information processing (pp. 248–253). https://doi.org/10.1109/issnip.2013.6529797.

  27. Hadjila, M., Guyennet, H., & Feham, M. (2013). A chain-based routing protocol to maximize the lifetime of wireless sensor networks. Wireless Sensor Network, 05(05), 116–120. https://doi.org/10.4236/wsn.2013.55014.

    Article  Google Scholar 

  28. Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Sasaki, S. (2015). Mobile sink-based adaptive immune energy-efficient clustering protocol for improving the lifetime and stability period of wireless sensor networks. IEEE Sensors Journal, 15(8), 4576–4586.

    Article  Google Scholar 

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Authors and Affiliations

  1. Superior National School of Computer Science (ESI), Algiers, Algeria

    Fatima Bouakkaz

  2. Tebessa University, Tebessa, Algeria

    Makhlouf Derdour

Authors
  1. Fatima Bouakkaz
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  2. Makhlouf Derdour
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Correspondence to Fatima Bouakkaz.

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Bouakkaz, F., Derdour, M. Maximizing WSN Life Using Power Efficient Grid-Chain Routing Protocol (PEGCP). Wireless Pers Commun 117, 1007–1023 (2021). https://doi.org/10.1007/s11277-020-07908-9

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  • DOI: https://doi.org/10.1007/s11277-020-07908-9

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