2018· International Journal of Modern Research in Science & Engineering· Vol 1, pp. 1-13· 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.
Anatoly Kitov· International Journal of Dat...· 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 reliability.
William Hughes, Marta Silva· International Journal of Dat...· 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 reliability.
Kenji Sato· International Journal of Mod...· 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 transmission at the same time. In view of this contradiction, this study proposes an improved differentiated data transmission scheme MR-RDCM based on robust Chinese remainder theorem, and applies it to wireless sensor network scenarios. The scheme differentiates the data according to value, encodes the important data as the main value in the remainder system, and embeds other data into the same transmission unit. In this paper, the data embedding and reconstruction process for wireless sensor network is designed, the correctness and characteristics of the algorithm are analyzed, and the experimental implementation is carried out according to the actual environment, and compared with the existing methods. The experimental results show that the new method can not only maintain the complete and accurate transmission of important data, but also significantly reduce the transmission delay and achieve near optimal bandwidth efficiency. It provides a differentiated transmission scheme with both reliability and efficiency for resource constrained wireless sensor networks.
Wen Zhu, Fuyou Miao· International Conference on...· 0 citations
The results indicate that E2CMR improves energy efficiency, network stability, and routing performance and is applicable for large-scale energy-constrained WSNs.
S. Priyadarshini, A. T.· International journal of com...· 0 citations
A WSN is a mobile node network that generates and configures its own data and transmits it wirelessly to the entire network. The topology of a network is constantly changing because nodes are mobile. Due to the instability of the link, dynamic topologies result in link failures, decreased bandwidth, and a decrease in QoS. Ensure that the wireless link is stable, the bandwidth is available, and the nodes have sufficient energy to communicate reliably. In WSN routing, packet loss increases delay and energy consumption for retransmission since multipath routing considers optimal hop counts. The paper proposes a Link Estimation Indicator and Energy-Awareness Routing Scheme (LEI-EA) for WSNs to address these issues. A link estimation indicator (LEI) is used to determine whether a link is stable or unstable. A LEI-EA scheme utilises the residual energy of neighbour nodes to determine multipath routing and maintain link stability, reliability, and network longevity. As part of the simulation, extensive testing has been conducted using the event-driven simulation tool (NS2), and the proposed LEI-EA scheme has been compared to existing dynamic routing schemes.
Suma S, Voruganti Naresh Kumar, K. S. Raju et al.· Pertanika journal of science...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
