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Parametric analysis of dynamic routing protocol for wireless sensor networks

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Abstract

In the paper the adaptability of Dynamic Source Routing (DSR) Protocol to the changes in network topography, its ability to establish new routes and the viability in modern sensing devices is simulated and analyzed. For a dynamic network the distance between source and destination changes along with their position in respect to their neighboring nodes. In our experiments, three scenarios considering real world deployment techniques like fixed position, clustering and random mobility are designed and the behavior of the protocol has been studied in two networks consisting of 100 and 150 nodes respectively. Comparative analysis is performed considering characteristics such as Instantaneous throughput, Bandwidth consumption, Average throughput, Packet delivery ratios and Residual energy of the individual nodes and of the network. The experimental data provides valuable insight for real-world applications. Path selection in DSR protocol is based on control messages which are flooded throughout the network. As seen from our experiments, the protocol can be greatly enhanced by reducing the overhead (number of packets required for network communication) to conserve bandwidth. Before making changes to the header or the routing mechanism we need to make sure that the protocol can still accommodate the various types of payloads, options and adopt to fragmented or dynamic networks. Due to the severe limitations on the resources available, the selected protocol should provide high energy efficiency, reliability and robustness to attacks. Hence the analysis of networking/routing protocols should be considered and variations of the selected protocol can be developed to accommodate the challenges faced in such networks.

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The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Dione D, Mbainaissem TC, Ndekou PP (2022) Optimizing lifetime of a wireless sensor network covering moving targets. SN Appl Sci 4:192. https://doi.org/10.1007/s42452-022-05073-1

    Article  Google Scholar 

  2. Dynamic Wireless Sensor Networks - New Directions for Smart Technologies (n.d.) https://doi.org/10.1007/978-3-319-92807-4

  3. Goswami P, Mukherjee A, Hazra R, Yang L, Ghosh U, Qi Y, Wang H (2022) AI based energy efficient routing protocol for intelligent transportation system. IEEE Trans Intell Transport Syst 23(2):1670–1679. https://doi.org/10.1109/TITS.2021.3107527

    Article  Google Scholar 

  4. Issariyaku T, Hossain E (2008) “Linkage between OTcl and C++ in NS2” first online: 20

  5. Issariyaku T, Hossain E (2008) Introduction to network simulator NS2. Springer, Berlin

  6. Kandris D, Nakas C, Vomvas D, Koulouras G (2020) Applications of wireless sensor networks: an up-to-date survey. Appl Syst Innov 3:14. https://doi.org/10.3390/asi3010014

    Article  Google Scholar 

  7. Kong R (2008) The simulation for network mobility based on NS2. In: 2008 International Conference on Computer Science and Software Engineering, vol 4, pp 1070–1074

  8. Li K (2022) Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management. Comput Intell Neurosci 2022(2169521):10. https://doi.org/10.1155/2022/2169521

    Article  Google Scholar 

  9. Luo Y, Wang J, Chen S (2006) An energy-efficient DSR routing protocol based on mobility prediction, 2006 International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM'06), Buffalo-Niagara Falls, NY, pp 3-446

  10. Overview of Proactive Routing Protocols in MANET (n.d.) Conference: 2014 International Conference on Communication Systems and Network Technologies (CSNT). https://doi.org/10.1109/CSNT.2014.42

  11. Propagation models for wireless communication systems (2018) Int J Eng Technol (IRJET) Volume: 05 Issue: 01

  12. Rajasoundaran S, Prabu AV, Routray S, Malla PP, Kumar GS, Mukherjee A, Qi Y (2022) Secure routing with multi-watchdog construction using deep particle convolutional model for IoT based 5G wireless sensor networks. Comput Commun 187:71–82. https://doi.org/10.1016/j.comcom.2022.02.004

  13. Sabor N, Sasaki S, Abo-Zahhad M, Ahmed SM (2017) A Comprehensive Survey on Hierarchical-Based Routing Protocols for Mobile Wireless Sensor Networks: Review, Taxonomy, and Future Directions. Wirel Commun Mob Comput 2017(2818542):23. https://doi.org/10.1155/2017/2818542

    Article  Google Scholar 

  14. Shahraki A, Taherkordi A, Haugen Ø, Eliassen F (2020) Clustering objectives in wireless sensor networks: A survey and research direction analysis. Comput Netw 180:107376, ISSN 1389-1286. https://doi.org/10.1016/j.comnet.2020.107376

    Article  Google Scholar 

  15. Verma AK, Sadawarti H (2010) Performance analysis of AODV, DSR and TORA routing protocols. IACSIT 2(2) ISSN: 1793–8236:226–231

    Google Scholar 

  16. Wireless Sensor Networks - Energy Harvesting and Management for Research and Industry (n.d.) https://doi.org/10.1007/978-3-030-29700-8

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Correspondence to Sonam Khera.

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Rakheja, R., Khera, S., Turk, N. et al. Parametric analysis of dynamic routing protocol for wireless sensor networks. Multimed Tools Appl 82, 39035–39055 (2023). https://doi.org/10.1007/s11042-023-15076-8

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