A Decade Bibliometric Analysis of Underwater Sensor Network Research on the Internet of Underwater Things: An African Perspective

Salami, Abdulazeez Femi; Dogo, Eustace M.; Makaba, Tebogo; Adedokun, Emmanuel Adewale; Mu’azu, Muhammed Bashir; Sadiq, Bashir Olaniyi; Salawudeen, Ahmed Tijani

doi:10.1007/978-3-030-40037-8_9

Cited by 6 publications

(6 citation statements)

References 109 publications

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“…Shortest Path-based Weighting Depth Forwarding Area Division and Depth Based Routing (SPB-WDFAD-DBR) and Breadth First Shortest Path-based Weighting Depth Forwarding Area Division and Depth Based Routing (BFSPB-WDFAD-DBR) was proposed for maximizing network lifetime by employing breadth-first search (BFS), Dijkstra and coverage radius adjustment algorithms. Simulation results demonstrated better performance with respect to end-to-end delay, packet delivery ratio, and residual energy [13,30]. High computational costs and packet processing delays are limitations of the proposed CBR protocols.…”

Section: Related Workmentioning

confidence: 97%

“…AUV-assisted Energy-Efficient Clustering (AEC) was proposed as a network lifespan solution that relies on TDMA clustering, sectoring and AUV traversal strategies. Performance analysis of AEC demonstrated noticeable improvement with respect to currency factor, AUV rounds and residual energy [13,45]. The major drawback of this protocol is overdependence on AUV for packet forwarding which leads to lack of flexibility in the mode of data transmission.…”

Section: Related Workmentioning

confidence: 99%

“…However, ACUN suffers from high algorithmic execution costs, increased control packet overheads and critical scalability bottlenecks. Readers are referred to [7,13,24,30,39,41,43,45,50] for a comprehensive review of IoUT/UWSN concepts and stateof-the-art CBR protocols.…”

Section: Related Workmentioning

confidence: 99%

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Fault-Tolerant Backup Clustering Algorithm for Smart Connected Underwater Sensor Networks

Salami¹,

Adedokun²,

Bello-Salau³

et al. 2022

IJSECS

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This paper addresses poor cluster formation and frequent Cluster Head (CH) failure issues of underwater sensor networks by proposing an energy-efficient hierarchical topology-aware clustering routing (EEHTAC) protocol. In this paper, fault-tolerant backup clustering (FTBC) algorithms and multi-parameter cluster formation (MPCF) model were developed for the EEHTAC operation. The MPCF model tackles the issue of poor cluster formation performance by integrating multiple parameters to achieve effective clustering process. The FTBC algorithms tackle the issue of frequent CH failures to avoid interruption in data transmission. Performance of the MPCF model was evaluated using normal, high-fault, and high routing overhead network scenarios. Performance metrics employed for this analysis are temporal topology variation ratio (TTVR), CH load distribution (CLD), and cluster stability (STB). Obtained results show that operating with a CH retention period of 90s achieves better CH duty cycling per round and improves the MPCF process with values of 25.69%, 55.56%, and 60% for TTVR, CLD, and STB respectively. Performance of the FTBC-based EEHTAC was evaluated relative to Energy-balanced Unequal Layering Clustering (EULC) protocol. Performance indicators adopted for this evaluation are routing overhead (Ω), end to end delay (Δ), CH failures recovered (CFR), CH failures detected (CFD), received packets (θ), and energy consumption (Σ). With reference to the best obtained values, EEHTAC demonstrated performance improvement of 58.40%, 29.94%, 81.33%, 28.02%, 86.65%, and 54.35% over EULC variants in terms of Ω, Δ, CFR, CFD, θ, and Σ respectively. Obtained results displayed that the MPCF model is efficient for cluster formation performance and the FTBC-based EEHTAC protocol can perform effectively well against an existing CBR protocol.

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Section: Related Workmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Fault-Tolerant Backup Clustering Algorithm for Smart Connected Underwater Sensor Networks

Salami¹,

Adedokun²,

Bello-Salau³

et al. 2022

IJSECS

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show abstract

“…We selected Elsevier's Scopus database because it has comprehensive content that contains 1.7 billion cited references, 7000+ publishers, and 10%-15% more citations than its nearest rival research database (Scopus, 2022). It has more coverage and more than 60% overlap of documents with the WoS (Salami et al, 2020). Also, Scopus has the power to access 70% more sources than other research databases (Brzezinski, 2015).…”

Section: Assemblingmentioning

confidence: 99%

Developing trends in showrooming, webrooming, and omnichannel shopping behaviors: Performance analysis, conceptual mapping, and future directions

Halibas

Nguyen

Akbari

et al. 2023

J of Consumer Behaviour

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In an omnichannel era, businesses and marketers need insights into the dynamics of customer shopping behaviors, particularly the interplay between omnichannel, showrooming, and webrooming behaviors. This study investigates the evolution and trends of the research and channel shopping behaviors (RCSB) domain, spanning from 1998 to 2022, including the Covid‐19 era. The study performed a bibliometric review of 500 papers in the Scopus database. The performance analysis reveals an annual growth rate of nearly 16%, with average citations per document of 44, indicating sustained and growing research interest. Science mapping revealed five distinct cluster themes, including showrooming and webrooming in multi‐ and omni‐channel contexts; consumer behavior in online retail and shopping; customer satisfaction and trust in multi‐channel retailing; mobile commerce in a multi‐channel environment; and the interplay between online shopping, channel choice, and supply chain management. Furthermore, topics, such as showrooming, e‐commerce, retailing, and omnichannel retailing, remain popular before and during the pandemic, as seen in the thematic evolution. Our examination of the thematic maps revealed various topics that gained significance during the pandemic, such as multichannel, channel choice, customer experience, social commerce, purchase behavior, and covid‐19. Among these, the thematic maps indicate that customer experience, channel choice, multichannel, and covid‐19 are emerging and basic topics. These topics can steer research directions in the RCSB domain toward examining customer experiences using digital innovations, e‐commerce (including mobile and social commerce), and omnichannel strategy and management.

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“…Additionally, such ungracious conditions are not possible for human presence as erratic underwater exercises, high water pressure, and immense regions are the purposes behind the automated investigation. In this manner, UWSNs are drawing in light of a legitimate concern for some scientists recently, particularly those dealing with terrestrial sensor networks [10][11][12][13][14][15]. Sensor networks utilized for underwater interchanges are diverse in numerous perspectives from conventional wired or even terrestrial sensor networks.…”

Section: Introductionmentioning

confidence: 99%

Energy optimization using swarm intelligence for IoT-Authorized underwater wireless sensor networks

Gavali

Kadam²,

Patil³

2022

Microprocessors and Microsystems

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A Decade Bibliometric Analysis of Underwater Sensor Network Research on the Internet of Underwater Things: An African Perspective

Cited by 6 publications

References 109 publications

Fault-Tolerant Backup Clustering Algorithm for Smart Connected Underwater Sensor Networks

Fault-Tolerant Backup Clustering Algorithm for Smart Connected Underwater Sensor Networks

Developing trends in showrooming, webrooming, and omnichannel shopping behaviors: Performance analysis, conceptual mapping, and future directions

Energy optimization using swarm intelligence for IoT-Authorized underwater wireless sensor networks

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