Analyzing the Performance of an Optimized Secure Cross Layer Routing Protocol with Secure Cross Layer Routing Protocols for Mobile Adhoc Networks

Bhusari, Amit A.; Jawandhiya, Pradip M.; Thakare, V. M.

doi:10.32622/ijrat.712019109

Cited by 1 publication

(1 citation statement)

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“…Similarly the novel explored Authenticated Anonymous Secure Routing scheme for opposed to attack in MANET [21]. In [22] introduced secure cross layer routing protocol for MANET analyzing the performance. The creator of [23,24] inspects various guiding shows concerning major security frameworks, adaptability, above, and different elements, including SAR, SEAD, ARAN, and others.…”

Section: Literature Surveymentioning

confidence: 99%

Improved QoS-Secure Routing in MANET Using Real-Time Regional ME Feature Approximation

John¹,

Ravi²

2023

Computer Systems Science and Engineering

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Mobile Ad-hoc Network (MANET) routing problems are thoroughly studied several approaches are identified in support of MANET. Improve the Quality of Service (QoS) performance of MANET is achieving higher performance. To reduce this drawback, this paper proposes a new secure routing algorithm based on real-time partial ME (Mobility, energy) approximation. The routing method RRME (Real-time Regional Mobility Energy) divides the whole network into several parts, and each node's various characteristics like mobility and energy are randomly selected neighbors accordingly. It is done in the path discovery phase, estimated to identify and remove malicious nodes. In addition, Trusted Forwarding Factor (TFF) calculates the various nodes based on historical records and other characteristics of multiple nodes. Similarly, the calculated QoS Support Factor (QoSSF) calculating by the Data Forwarding Support (DFS), Throughput Support (TS), and Lifetime Maximization Support (LMS) to any given path. One route was found to implement the path of maximizing MANET QoS based on QoSSF value. Hence the proposed technique produces the QoS based on real-time regional ME feature approximation. The proposed simulation implementation is done by the Network Simulator version 2 (NS2) tool to produce better performance than other methods. It achieved a throughput performance had 98.5% and a routing performance had 98.2%.

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