SDN-Driven Innovations in MANETs and IoT: A Path to Smarter Networks

Journal of Advances in Information Technology, Год журнала: 2025, Номер 16(3), С. 411 - 425

Опубликована: Янв. 1, 2025

Язык: Английский

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Clustering for Performance Optimization in Vehicular Ad-Hoc NETworks: A Comprehensive Survey

Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 219 - 234

Опубликована: Янв. 1, 2025

Язык: Английский

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Real-Time Communication Protocols for IoT and Wireless Sensor Networks: A Short Survey

IntechOpen eBooks, Год журнала: 2025, Номер unknown

Опубликована: Май 13, 2025

Researchers in the real-time systems field have been focusing mainly on transferring principles to new technologies such as Internet of Things or Industry 4.0. Most their contribution was made aspects regarding sensing, environment monitoring, resource management, and scheduling, while communication protocols received less attention. In case wireless sensor networks, support should not only be provided at a local node level, but also whole system level including layers. This implies that network communicate with respect application defined time constraints. order achieve this goal, even components nodes need function timely manner. chapter will address state art for different layers focus Things, both inter- intra-node communication. The study identify current research gaps propose future directions approaches.

Язык: Английский

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AI-enabled cluster head selection through modified density based clustering in Aeronautical Ad Hoc Networks

Ad Hoc Networks, Год журнала: 2023, Номер 148, С. 103209 - 103209

Опубликована: Май 20, 2023

Язык: Английский

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On Cohesive Fuzzy Sets, Operations and Properties with Applications in Electromagnetic Signals and Solar Activities

Symmetry, Год журнала: 2023, Номер 15(3), С. 595 - 595

Опубликована: Фев. 25, 2023

In the present communication, a new concept of cohesive fuzzy set (CHFS) has been proposed as synchronized generalization complex sets and hesitant in systematic way. The novelty introduced notion lies selection best alternative among available multiple favorable situations, where possibility its range is extended unit circle plane. We study relationship between CHFS intuitionistic (CIFS), along with validation obtained results. On basis notion, various properties, operations, identities have established their necessary proof. applications process filtering signals for obtaining reference signal using Fourier cosine transform or inverse identifying maximum number sunspots particular interval solar activity suitably discussed illustrative numerical examples. Some advantages incorporating also tabulated better understanding.

Язык: Английский

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An Efficient OLSR Routing Protocol to Minimize Multipoint Relays in MANET

International journal of intelligent engineering and systems, Год журнала: 2024, Номер 17(2), С. 489 - 500

Опубликована: Фев. 28, 2024

Reducing control packets, especially in proactive routing protocols, needed to establish routes can lower network overhead Mobile Ad-hoc Networks (MANETs).In Optimized Link State Routing (OLSR) protocol, each Multipoint Relay (MPR) node propagates Topology Control (TC) messages advertise neighbor information.However, OLSR controls the TC by reducing number of MPR nodes.In this study, we propose an efficient selection mechanism reduce message volume leading a minimized overhead.Each selects lowest cost heuristically from its first hop neighbors as for any destination.The same be selected multiple destinations if it costs destination node.The technique is realized modifying only default and Hello messages.The proof-of-concept implementation NS3 simulator reveals that proposed methodology reduces selecting around 55%, 28% 49% (on average) fewer nodes compared traditional OLSR, SSTB M-OLSR protocol respectively, without negotiating packet delivery ratio, throughput delay.

Язык: Английский

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Link reliable on-demand distance vector routing for mobile ad hoc networks

International Journal of Information Technology, Год журнала: 2024, Номер 16(7), С. 4299 - 4307

Опубликована: Июнь 14, 2024

Язык: Английский

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Assessment of Indicators for Updating Adjacency Matrix of Self-Organizing Flying Ad Hoc Network

Journal of Aerospace Technology and Management, Год журнала: 2024, Номер 16

Опубликована: Янв. 1, 2024

Язык: Английский

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ADAPTIVE SECURE AND EFFICIENT ROUTING PROTOCOL FOR ENHANCE THE PERFORMANCE OF MOBILE AD HOC NETWORK

Applied Computer Science, Год журнала: 2023, Номер 19(3), С. 133 - 159

Опубликована: Сен. 30, 2023

Nowadays Mobile Ad Hoc Network (MANET) is an emerging area of research to provide various communication services end users. Networks (MANETs) are self-organizing wireless networks where nodes communicate with each other without a fixed infrastructure. Due their unique characteristics, such as mobility, autonomy, and ad hoc connectivity, MANETs have become increasingly popular in applications, including military, emergency response, disaster management. However, the lack infrastructure dynamic topology pose significant challenges designing secure efficient routing protocol. This paper proposes adaptive, secure, protocol that can enhance performance MANET. The proposed incorporates security mechanisms, authentication, encryption, key management, intrusion detection, ensure routing. Additionally, considers energy consumption, network load, packet delivery fraction, route acquisition latency, packets dropped Quality Service (QoS) requirements applications optimize performance. Overall, for MANET should reliable environment adapt nature network. messages delivered securely efficiently intended destination, while minimizing risk attacks preserving resources Simulation results demonstrate outperforms existing protocols terms security. facilitate deployment maintaining efficiency.

Язык: Английский

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Epilepsy Identification using Hybrid CoPrO-DCNN Classifier

International Journal of Computing and Digital Systems, Год журнала: 2024, Номер 15(1), С. 783 - 796

Опубликована: Май 8, 2024

The Electroencephalogram (EEG) stands as a burgeoning frontier in the study of neuronal activity, offering rich tapestry information crucial for identifying abnormalities and addressing cognitive disorders irregularities.This paper delves into examination EEG from subjects exhibiting abnormalities, contrasting them with those normal subjects.Various topographical features such Mean, Entropy, Wavelet bands are meticulously evaluated compared.Inspired by adaptive hunting strategies observed coyotes, this introduces novel hybrid computational model that integrates deep learning architectures, aiming to amplify diagnostic accuracy.The methodology hinges upon development unique algorithm inspired intricate behaviors seamlessly fused potent data-driven capabilities neural networks.This is applied scrutinize data detection brain disorders, capitalizing on both biologically-inspired data-centric strengths learning.The results obtained innovative approach highly promising.The proposed scheme exhibits remarkable accuracy, achieving an impressive rate 98.65 per training (True Positive -TP) 98.82 utilizing k-fold validation.These preliminary findings underscore potential efficacy accurately discerning signals.However, it essential acknowledge these represent initial success form just fragment extensive evaluation process.This marks significant stride towards leveraging interdisciplinary insights, blending principles ethology advanced techniques tackle complex neurological challenges.By harnessing sophisticated nature alongside cutting-edge technological advancements, research endeavors carve path more nuanced precise tools understanding disorders.Further exploration refinement hold promise revolutionizing landscape neurodiagnostics, hope effective interventions treatments realm health.

Язык: Английский

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