SQMAA: Security, QoS and Mobility Aware ACO Based Opportunistic Routing Protocol for MANET

Junnarkar, Aparna A.; Singh, Yashpal; Deshpande, Vinayak

doi:10.1109/i2ct42659.2018.9058022

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…QoS relay nodes look for pathways with enough resources to meet the flow's QoS constraints. Routing protocols that are conscious of QoS should choose routes that are resource-efficient [4]. [5] Looks at certain route selection criteria that are subject to QoS specifications.…”

Section: Literature Reviewmentioning

confidence: 99%

QoS constraint Enhanced AODV in Cognitive Radio Ad Hoc Network

Shobana¹,

Vijayanand²,

Santhiya³

et al. 2021

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bh

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More range is needed for data communication due to distributed computing, versatility, and the Internet of Things. Regrettably, that range has become a limited resource that is underplayed among licensed clients although these unauthorized selections are overflowing. Intellectual communication creativity is emerged as a potential solution to the range's underutilization. This investigation aims to solve the guiding problem by upgrading the DSR consensus using Quality of Service (QoS) criteria. This investigation determines how such variables affecting QoS could be referred to and in terms with related research. The test employs QoS criteria to improve DSR's display and then evaluate its effectiveness in resolving that steering problem. The proposed plot Q-DSR is compared to the DSR, which is currently in use. NS2 is used to lead reproductions. In terms of speed, temporary suspension, and bundle conveyance ratio, the proposed conspire outperforms the DSR agreement. The strategy worked out how to solve the steering problem yet has gradually reduced the factors that influence QoS. This same disadvantage of said proposed conspiracy is because there is no part to repair disrupted communications after a link break that is being addressed through our future studies.

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Section: Literature Reviewmentioning

confidence: 99%

QoS constraint Enhanced AODV in Cognitive Radio Ad Hoc Network

Shobana¹,

Vijayanand²,

Santhiya³

et al. 2021

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bh

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“…In particular, the feature selection is performed by a PSO algorithm associated with support vector machine and Nave Bayesian in keystrokes dynamic authentication environments for fast user feature detection. To perform security protocols in mobile ad hoc networks (MANET), an ACObased approach is proposed in [160] with the objective of securing communications and authenticating users in MANET in the presence of attacks while ensuring low network latency. The ACO algorithm is able to learn the optimal routing path with data reliability (e.g., authenticated data access) and QoS preservation.…”

Section: Network Authenticationmentioning

confidence: 99%

“…Recently, some data privacy-preserved SI algorithms are also considered for SDN and cloud computing-based 5G networks [158] by forming service migration functions with privacy awareness. Other SI techniques such as ACO [160] also facilitate the 5G network authentication with bio-inspired algorithms embedded at the network controllers, e.g., SDN controllers, for securing communications and authenticating users with QoS preservation. In addition to that, the potential of SI is also reflected in the attack detection tasks thanks to its learning and classification capability [167], such as in the intrusion detection systems of 5G IoT networks.…”

Section: E Summarymentioning

confidence: 99%

See 1 more Smart Citation

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications

Pham¹,

Nguyen²,

Mirjalili³

et al. 2020

Preprint

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Due to the proliferation of smart devices and emerging applications, many next-generation technologies have been paid for the development of wireless networks. Even though commercial 5G has just been widely deployed in some countries, there have been initial efforts from academia and industrial communities for 6G systems. In such a network, a very large number of devices and applications are emerged, along with heterogeneity of technologies, architectures, mobile data, etc., and optimizing such a network is of utmost importance. Besides convex optimization and game theory, swarm intelligence (SI) has recently appeared as a promising optimization tool for wireless networks. As a new subdivision of artificial intelligence, SI is inspired by the collective behaviors of societies of biological species. In SI, simple agents with limited capabilities would achieve intelligent strategies for high-dimensional and challenging problems, so it has recently found many applications in nextgeneration wireless networks (NGN). However, researchers may not be completely aware of the full potential of SI techniques. In this work, our primary focus will be the integration of these two domains: NGN and SI. Firstly, we provide an overview of SI techniques from fundamental concepts to well-known optimizers. Secondly, we review the applications of SI to settle emerging issues in NGN, including spectrum management and resource allocation, wireless caching and edge computing, network security, and several other miscellaneous issues. Finally, we highlight open challenges and issues in the literature, and introduce some interesting directions for future research.

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