An Optimal Scheme for UWSAN of Hotspots Issue Based on Energy-Efficient Novel Watchman Nodes

Draz, Umar; Ali, Tariq; Yasin, Sana; Bukhari, Sarah; Khan, Muhammad Salman; Hamdi, Mohammed; Rahman, Saifur; Jung, Low Tang; Ali, Amjad

doi:10.1007/s11277-021-08624-8

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…However, to achieve this objective, many recent methods have been developed to reduce battery consumption [17]. For instance, in the study of Draz et al, a Data Packet Forwarding Algorithm (DFPA) and Watchman Layer Update Mechanism (WLUM) were implemented [18] in WSNs to maintain energy efficiently. Also, Ramadan et al presented a method of placing multisink nodes close to fog nodes that can save energy and facilitate coherent data transfer between WSNs and fog networks [19].…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Heuristic Model for Duty Cycle Framework Optimization

Ansah,

Appati,

Owusu

et al. 2024

International Journal of Distributed Sensor Networks

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This paper proposes a hybrid metaheuristic approach to optimize a duty cycle framework based on Seagull and Mayfly Optimization (HSMO-DC) Algorithm. This approach becomes crucial as current clustering protocols are unable to efficiently tune the clustering parameters in accordance to the diversification of varying WSNs. The proposed HSMO-DC primarily has two parts, where the first part takes care of the online cluster head selection and network communication using the seagull algorithm while the second part performs parameter optimization using the mayfly algorithm. The seagull is aimed at improving the energy distribution in the network through an effective bandwidth allocation procedure while reducing the total energy dissipation. Comparatively, with other clustering protocols, our proposed methods reveal an enhanced network lifetime with an improved network throughput and adaptability based on selected standard metric of performance measurement.

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Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Heuristic Model for Duty Cycle Framework Optimization

Ansah,

Appati,

Owusu

et al. 2024

International Journal of Distributed Sensor Networks

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“…That strategy will reduce the cost of selected B v saved in table VBN [ î, ĵ]. Finally, the optimized solution is selected using Equation (20) as used in [37].…”

Section: Bio-inspired Optimal Mechanism For Vbnlmentioning

confidence: 99%

Trust-Based Beacon Node Localization Algorithm for Underwater Networks by Exploiting Nature Inspired Meta-Heuristic Strategies

et al. 2022

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Conventional underwater technologies were not able to provide authentication and proper visualization of unexplored ocean areas to accommodate a wide range of applications. The aforesaid technologies face several challenges including decentralization, beacon node localization (for identification of nodes), authentication of Internet of Underwater Things (IoUTs) objects and unreliable beacon node communication between purpose oriented IoT-enabled networks. Recently, new technologies such as blockchain (BC) and the IoUTs have been used to reduce the issues but there are still some research gaps; for example, unreliable beacon messages for node acquisition have significant impacts on node identification and localization and many constrained node resources, etc. Further, the uncertainty of acoustic communication and the environment itself become problems when designing a trust-based framework for the IoUTs. In this research, a trust-based hybrid BC-enabled beacon node localization (THBNL) framework is proposed to employ a secure strategy for beacon node localization (BNL) to mine the underwater localized nodes via the hybrid blockchain enabled beacon node localization (HB2NL) algorithm. This framework helps to merge two disciplines; it is hybrid because it follows the nature and bio inspired meta heuristics algorithms for scheduling the beacon nodes. The performance of the proposed approach is also evaluated for different factors such as node losses, packet delivery ratios, residual and energy consumption and waiting time analysis, etc. These findings show that the work done so far has been successful in achieving the required goals while remaining within the system parameters.

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