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Analytic Approaches of Various Routing Protocols in WSN- Comparative Study

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Abstract

Wireless Sensor Networks (WSNs) consist of small, irreplaceable batteries that are able to detect, collect and transmit data. Sink node mobility is an efficient approach to improving the lifetime of the network to reduce overhead signaling and achieve a high packet delivery ratio. The use of energy is the large number of WSNs, there are so many routing algorithms and for the energy consuming problem, routing protocols are developed. It focuses on sink mobility and routing protocols, which may differ depending on the architecture of the application and network. The state of the art of sink mobility in WSNs is presented as a survey with routing protocols. The challenges in the design of the protocols are presented and the comparison of the latest routing protocols supported by mobile sinks is also described and the other issues also listed in WSNs are discussed, followed by the conclusion.

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References

  1. Shah, H., Bhoyar, S. R., (2014). Improved V-Leach Protocol in Wireless Sensor Network with Data Security. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), 9(5),49–54, September - October.

  2. Arouna Ndam Njoya, Ari, A. A. A., Ouhmi, S., & Titouna, C. (2020). Hybrid Wireless Sensors Deployment Scheme with Connectivity and Coverage maintaining in Wireless Sensor Networks, Wireless Personal Communications, 112(6).

  3. Keramatpour, A. (2017). Hossein Ghaffarian, Deployment of Wireless Intrusion Detection systems to provide the most possible Coverage in Wireless Sensor networks without infrastructures. Wireless Personal Communications, 96, 3965–3978.

    Article  Google Scholar 

  4. Keita Matsuo, D., Elmazi, Y., Liu, S., Sakamoto, & Barolli, L. (2015). A multi-modal simulation system for wireless sensor networks: A comparison study considering stationary and mobile sink and event, J Ambient Intell Human Comput.

  5. Ding, X. X., Wang, T., Chu, H., & Liu, X. (2019). You-hong Feng, an enhanced cluster Head Selection of LEACH based on Power Consumption and Density of Sensor Nodes in Wireless Sensor Networks. Wireless Personal Communications, 109, 2277–2287.

    Article  Google Scholar 

  6. Gupta, A., & Singh, U. (2023). Optimal performance evaluation of localization of Sensor nodes in Wireless Sensor Networks. Wireless Personal Communications, 131, 941–954.

    Article  Google Scholar 

  7. Liu, Y., & Li, Q. (2023). Coverage Algorithm based on Perceived Environment around nodes in Mobile Wireless Sensor Networks. Wireless Personal Communications, 128, 2725–2740.

    Article  Google Scholar 

  8. Pakdel, H., Jahanshahi, M. & Fotohi, R.(2022). An Approach to Environmental Monitoring in Sparse Linear Wireless Sensor Networks for Energy Conservation using dual sinks. Wireless Personal Communications, 126, 635–663.

    Article  Google Scholar 

  9. Zhao, W., Su, S. & Shao, F. (2018). Improved DV-Hop Algorithm using locally weighted Linear regression in Anisotropic Wireless Sensor Networks. Wireless Personal Communications, 98, 3335–3353.

    Article  Google Scholar 

  10. Singh, S. K., Singh, M. P., & Singh, D. K. (2011). Routing Protocols in Wireless Sensor Networks – A Survey. International Journal of Computer Science and Engineering Survey (IJCSES), 1(2), 63–83, November.

  11. Wang, J., Cao, J., Sherratt, R. S., & Park, J. H. (2018). An improved ant colony optimization based approach with mobile sink for wireless sensor networks. J Supercomput 74, 6633–6645.

  12. Wang, J., Gao, Y., Li, F., & Kim, H.-J. (2018) An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks, Wireless Communication and Mobile Computing 2018.https://doi.org/10.1155/2018/9472075.

  13. Mariam Akbar, N., Javaid, M., Imran, N., & Amjad (2016). Majid Iqbal Khan and Mohsen Guizani, Sink mobility aware energy-efficient network integrated super heterogeneous protocol for WSNs. EURASIP Journal on Wireless Communications and Networking.

  14. Cheng, H., Tao, L., & Zhang, X., A Fast and Efficient Broadcast Protocol with a Mobile Sink Node in Asynchronous Wireless Sensor Networks, IEEE Access.

  15. Shahrokh Vahabi, M., Eslaminejad, & Dashti, S. E. (2019). Integration of geographic and hierarchical routing protocols for energy saving in wireless sensor networks with mobile sink. Wireless Networks, 25, 2953–2961.

    Article  Google Scholar 

  16. Khan, A. W., Abdullah, A. H., Razzaque, M. A., & Bangash, J. I. (2013). VGDRA: A Virtual Grid based Dynamic Routes Adjustment Scheme for Mobile Sink based Wireless Sensor Networks, Ieee Sensors Journal, January.

  17. Fan, Y., Zhang, X., Tao, L., & Zhang, H., Network Coding-based flooding with a Mobile Sink in Low-Duty-Cycle Wireless Sensor Networks.

  18. Bo, T., Dingcheng, W., & Zhang, H. (2013). A Centralized Clustering Geographic Energy Aware Routing for Wireless Sensor Networks, In proceedings of IEEE International Conference on Systems, Man, and Cybernetics.

  19. Alberto Gallegos; Taku Noguchi; Tomoko Izumi; Yoshio Nakatani, Simulation study of Maximum Amount Shortest Path routing in Wireless Sensor Networks using Ns-3, In proceedings of Eighth International Conference on Ubiquitous and Future Networks (ICUFN), (2016).

  20. Liyang, Y., Neng Wang, W., & Zheng, Z. C. (2006). GROUP: A Grid-Clustering Routing Protocol for Wireless Sensor Networks, In proceedings of International Conference on Wireless Communications, Networking and Mobile Computing.

  21. Hassen, B. S., Lafta, S. A. S., Noman, H. M., & Ali, A. H., Analyzing the performances of WSNs routing protocols in Grid based clustering, International Journal on Advanced Science Engineering Information Technology, 9(4).

  22. Bharat Bhushan, Sahoo, G., & E2SR2. (2019). : An acknowledgement-based mobile sink routing protocol with rechargeable sensors for wireless sensor networks, Wireless Networks.

  23. Karp, B., & Kung, H. T. (2000). GPSR: Greedy perimeter stateless routing for wireless networks, in Proceedings of ACM Proceedings of the 6th Annual International Conference on Mobile Computing and Networking (MobiCom’00), Boston, MA, August pp. 243–254.

  24. Luo, J., & Hubaux, J. P. (2005). Joint mobility and routing for lifetime Elongation In Wireless Sensor Networks, in Proceedings of the 24th Annual Joint Conference on IEEE Computer And Communications Societies (IEEE INFOCOM’05), 3, Miami, FL, March pp. 1735–1746.

  25. Shah, R. C., Roy, S., Jain, S., & Brunette, W. (2003). Data MULEs: Modeling a Three-tier Architecture for Sparse Sensor Networks, in Proceedings of the First IEEE International Workshop Sensor Network Protocols and Applications (SNPA’03), Anchorage, AK, 11 May pp. 30–41.

  26. Chang, W., Cao, G., & La Porta, T. (2004). Dynamic Proxy Tree-Based Data Dissemination Schemes for Wireless Sensor Networks, in Proceedings of First IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS ‘04), Fort Lauderdale, FL, October pp. 21–30.

  27. More, M., & Jayavel, K. (2014). Mobile Sinks for Data Collection with Sink Trail Reactive Protocol in Wireless Sensor Networks, in proceedings of the International Journal of Engineering Development and Research (IJEDR), 2(2), pp. 1501–1504, June.

  28. Ratijit Mitra, & Sharma, S. (2018). Proactive data routing using controlled mobility of a mobile sink in Wireless Sensor Networks. Computers and Electrical Engineering, 70, 21–36.

    Article  Google Scholar 

  29. Tashtarian, F., Sohraby, K., & Effati, S. (2014). On Maximizing the Lifetime of Wireless Sensor Networks in Event-driven Applications with Mobile Sinks, in proceedings of the IEEE Transactions on Vehicular Technology, PP, No. 99, September.

  30. Wang, C. F., Shih, J. D., Pan, B. H., & Wu, T. Y. (2014). A Network Lifetime Enhancement Method for Sink Relocation and Its Analysis in Wireless Sensor Networks, in proceedings of the IEEE Sensors Journal, 14, pp. 1932–1943, June.

  31. Qureshi, T. N., Javaid, N., Malik, M., Qasim, U., & Khan, Z. A. (2012). On Performance Evaluation of Variants of DEEC in WSNs, in proceedings of the 7th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2012), Victoria, Canada, August pp. 1208–2401.

  32. Lu, J. L., & Valois, F. (2007). " On the data dissemination in WSNs, in proceedings of the IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, White Plains, NY, October pp. 58–58.

  33. Wang, Y. H., Huang, K. F., Fu, P. F., & Wang, J. X. (2008). " Mobile sink routing protocol with registering in cluster-based wireless sensor networks, in Proceedings of the 5th International Conference on Ubiquitous Intelligence and computing, Oslo, Norway, pp. 352–362.

  34. Ajarmeh, I. A., Zayyat, K. E., & Yu, J. (2008). " A hybrid routing protocol for mobile Ad hoc and wireless sensor networks, in Proceedings of the 4th International Conference on Wireless Communications, Networking and Mobile Computing, Dalian,CN, October pp. 1–5.

  35. Shi, G., Zheng, J., Yang, J., & Zhao, Z. (June 2012). Double-blind Data Discovery using double Cross for large-scale Wireless Sensor Networks with Mobile sinks. IEEE Transactions on Vehicular Technology, 61(5), 2294–2304.

  36. Tunca, C., Isik, S., Donmez, M. Y., Ersoy, C., Distributed Mobile Sink Routing for Wireless Sensor Networks: A Survey, IEEE Communications Surveys, & Tutorials, T. (2014). 16(2), Second Quarter pp. 877–897.

  37. Tunca, C., Isik, S., Donmez, M. Y., & Ersoy, C. (2014). Distributed Mobile Sink Routing for Wireless Sensor Networks: A Survey, IEEE Communications Surveys & Tutorials, Istanbul, Turkey 16(2), Second Quarter pp. 877–897.

  38. Iabbassen, D., & Moussaoui, S. (2013). Mobile Line Based Data Dissemination Protocol for Wireless Sensor Networks, in Proceedings of the Journal of Emerging Technologies in Web Intelligence, 5(1), pp. 4–11 February.

  39. Guo, J., Sink Mobility Schemes in Wireless Sensor Networks for Network Lifetime Extension, 2012, [Online]. Available: http://scholar.uwindsor.ca/cgi/viewcontent.cgi?article=1102&context=etd

  40. Nazir, B., & Hasbullah, H., Mobile sink based routing protocol (MSRP) for prolonging network lifetime in clustered wireless sensor network, in Proceedings of the International Conference on Computer Applications and Industrial Electronics (ICCAIE), Kuala Lumpur, December 2010, pp. 624– 629.

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Corresponding author: Dr. Velmani Ramasamy, Professor & Head, Department of Computer Science and Engineering, Adithya Institute of Technology, Tamil Nadu, India.

Corresponding author E-mail id: velmaniramasamyece@gmail.com.

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Correspondence to Velmani Ramasamy.

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Ramasamy, V. Analytic Approaches of Various Routing Protocols in WSN- Comparative Study. Wireless Pers Commun 133, 1031–1053 (2023). https://doi.org/10.1007/s11277-023-10803-8

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