Multi-Path Data Transmission for Enhancing Reliability in Wireless Sensor Networks

  • Authors

    • Dr. Harish Patel Professor, Gujarat University, India Author
    • Dr. Geetha Ramasamy Associate Professor, Madurai Kamaraj University, India Author

    DOI:

    https://doi.org/10.67228/30716357/IJMRSE-2018PII5H2W

    Published 10-05-2018

  • Multi-Path Data Transmission, Wireless Sensor Networks (Wsns), Reliability, Fault Tolerance, Energy Efficiency, Routing Protocols, Network Longevity, Data Redundancy

    Issue

    Vol. 1 No. 2 (2018)

    Section

    Articles

    How to Cite

    Multi-Path Data Transmission for Enhancing Reliability in Wireless Sensor Networks. (2018). International Journal of Modern Research in Science & Engineering, 1(2), 01-13. https://doi.org/10.67228/30716357/IJMRSE-2018PII5H2W

  • Abstract

    Wireless Sensor Networks (WSNs) have gained significant attention due to their wide range of applications, including environmental monitoring, healthcare, industrial automation, and military operations. The primary challenge in WSNs is to ensure reliable data transmission while maintaining energy efficiency and network longevity. Multi-path data transmission has emerged as a promising technique to enhance the reliability of WSNs by mitigating data loss, reducing congestion, and improving fault tolerance. This paper presents a comprehensive study on multi-path data transmission mechanisms in WSNs, analyzing their impact on network performance, energy consumption, and data reliability. We explore various multi-path routing protocols, including Disjoint Path Routing, Braided Path Routing, and Hybrid Approaches, and assess their effectiveness in different network scenarios. Additionally, we discuss the challenges associated with multi-path data transmission, such as path redundancy, interference, and increased computational overhead. Through extensive simulations and comparative analysis, we demonstrate that multi-path data transmission significantly enhances network reliability while ensuring optimal resource utilization. The findings of this study provide valuable insights for designing robust and efficient WSNs, thereby contributing to advancements in the field of wireless communication.

  • References

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