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Advancing security and efficiency in MANET using dynamic algorithm switching
DOI:10.1007/s12083-024-01697-9.png)
摘要
En 中文
MANET is widely utilized for interactions among devices without relying on a central governing body. The frequent changes in network topologies expose it to various security vulnerabilities. Enhancing security within MANET is of paramount concern and demands resolution. Addressing these security-related issues stands as the sole approach to ensuring proper data sharing in MANET. Numerous security-oriented techniques have been introduced, but they have encountered several challenges, leading to increased costs and time complexity. These difficulties have necessitated additional resources to be allocated towards mitigating issues and grappling with the growing complexity, thereby introducing a layer of complexity that can impede seamless implementation and efficacy. In this context, a Dynamic Algorithm Switching (DAS) algorithm is proposed to strengthen security in MANET. The process begins with Node clustering, followed by cluster formation through the implementation of the Modified Density-Based Spatial Clustering of Applications (DBSCAN). The proposed method incorporates Cluster Head selection (CHS), which in turn enhances energy efficiency within MANET. The effectiveness of the DAS method is evaluated through experimentation, measuring key aspects such as Packet Delivery Ratio (PDR), end-to-end delay, throughput97.9, network lifetime, and energy consumption with the attained values 98.7%, 15.81mas, 97.9% 952 s as well as 11 J/s respectively. However the existing approaches such as ANFIS-EESC, QoSDSBS, EBR and IBADConBE achieved rate of PDR as 98.3%, 97.6%, 97.1% and 96.9% that diminished the performance. Comparative analysis demonstrates that the proposed method outperforms other techniques across all metrics, establishing its superior efficiency.
Keyword:
Mobile ad-hoc networks
Cluster-based detection
Cluster formation
Energy efficiency
Network lifetime
Node clustering
Dynamic algorithm
期刊
IF:
2.6
论文数:
2.2K
被引数:
2.9K
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