2023· International Journal of Data Engineering and Intelligent Computing· 0 citations
TL;DR
It is demonstrated that multi-path data transmission significantly enhances network reliability while ensuring optimal resource utilization, thereby contributing to advancements in the field of wireless communication.
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.
It is demonstrated that multi-path data transmission significantly enhances network reliability while ensuring optimal resource utilization, thereby contributing to advancements in the field of wireless communication.
Hari A. Patel, Geetha Ramasamy· International Journal of Mod...· 0 citations
This paper conducts a comprehensive literature survey to examine existing optimization techniques and proposes an improved methodology leveraging AI-driven resource allocation and dynamic spectrum sharing that demonstrates the effectiveness of the proposed approach in reducing end-to-end latency and improving network r...
Kenji Sato· International Journal of Mod...· 0 citations
This paper conducts a comprehensive literature survey to examine existing optimization techniques and proposes an improved methodology leveraging AI-driven resource allocation and dynamic spectrum sharing that demonstrates the effectiveness of the proposed approach in reducing end-to-end latency and improving network r...
William Hughes, Marta Silva· International Journal of Dat...· 0 citations
Modern technological systems rely heavily on Wireless Sensor Networks (WSNs), which support many kinds of applications, including but not limited to: (1) environmental monitoring (2) medical monitoring and (3) smart city/infrastructure development. One major problem with extending the overall life of the network is the...
T. Sarkar, Manik Rakhra· 2026 International Conferenc...· 0 citations
A comparative analysis of four ZigBee-based WSN architectures finds mesh networks are best suited for large and dynamic networks because of their multiple routing paths, which also allow them to excel in throughput and reliability.
N. K. Baqer· International Journal of Sci...· 0 citations
Wireless sensor networks are widely used in environmental monitoring, military reconnaissance, industrial control and other fields, but their communication links generally have problems such as packet loss, interference and node failure, which are difficult to meet the requirements of accurate and efficient data transm...
Wen Zhu, Fuyou Miao· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.