Performance evaluation of hybrid disaster recovery framework with D2D communications

Ever, Enver; Gemikonaklı, Eser; Nguyen, Huan X.; Al‐Turjman, Fadi; Yazıcı, Adnan

doi:10.1016/j.comcom.2020.01.021

Cited by 24 publications

(5 citation statements)

References 24 publications

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“…The authors in [28][29][30][31][32][33] have carried out relevant research on connectivity recovery in postdisaster ad hoc networks to ensure real-time and effective data transmission. Most of them use the combination of passive and controlled mobility to achieve rapid communication recovery.…”

Section: Ad Hoc Network Connectivity Recovery After Disastermentioning

confidence: 99%

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Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks

Chen,

Wu,

et al. 2024

International Journal of Distributed Sensor Networks

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Wireless ad hoc/sensor networks (WASN) have seen increased application in three-dimensional (3D) environments, such as underwater and aerial scenarios. However, WASN may be fragmented or unable to connect continuously due to the harsh surrounding environment or high mobility. Therefore, restoring the network connectivity and transmit data in real time is very important. This paper focuses on the critical task of restoring network connectivity in 3D WASN, a complex issue given that existing connectivity restoration algorithms for two-dimensional environments are not directly applicable or become overly complicated in 3D contexts. We present a comprehensive analysis of the current research landscape, summarizing key findings related to various aspects of 3D WASN connectivity restoration. These aspects include the application environment (underwater, in the sky, and recovery disaster), opportunities for restoration (active, passive, and active/passive), implementation strategies (clustering and sleep scheduling), and resource constraints (node deployment and movement control). Our study also proposes a classification of connectivity restoration solutions for 3D WASN, identifying existing gaps and suggesting potential future research directions. By providing specific insights and a structured overview of the field, we aim to contribute to the ongoing development of robust and resilient 3D WASN.

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Section: Ad Hoc Network Connectivity Recovery After Disastermentioning

confidence: 99%

“…The article [31] Table 4: Summarization of the recovery method, contribution, and limitation of some literature in disaster.…”

Section: Ad Hoc Network Connectivity Recovery After Disastermentioning

confidence: 99%

Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks

Chen,

Wu,

et al. 2024

International Journal of Distributed Sensor Networks

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“…Depending on the models of D2D MHMP communications, different CRR techniques have been proposed in the literature to establish a D2D MHMP communications session. Under the assumption that the methods to create D2D MH communications, e.g., frequency reuse, frequency synchronization, crosstier interference mitigation, coded cooperative data exchange, energy efficient relay selection, D2D based clustering scheme, relay selection, bit error rate and fading analysis, etc., within one cell [22,23,25,28,52,65,[69][70][71][76][77][78][79][80] and cooperative D2D communications across multiple cells [64], can be utilised, the CRR techniques are detailed in the sequel.…”

Section: Techniques For Establishing D2d Mhmp Communicationsmentioning

confidence: 99%

“…Further reactive caching techniques that are more efficient are required to study in the context of D2D MHMP communications. It means that 6 EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 10 2020 -01 2021 | Volume 7 | Issue 25 | e3 D2D Multi-hop Multi-path Communications in B5G Networks: A Survey on Models, Techniques, and Applications 22,33,34,36,37,40,44,63,64,66,75,86] [ 26,27,51,53,54,60,61,79,82,85,[87][88][89][90][91][92] [ [41][42][43]53] the contents are placed in the best SUs in advance, with a certain caching density based on a prediction model of content popularity. And then, whenever a DU requests the content, D2D MHMP D2D communications are immediately established to serve the DU.…”

Section: Techniques For Enhancing D2d Mhmp Communications Performancementioning

confidence: 99%

D2D Multi-hop Multi-path Communications in B5G Networks: A Survey on Models, Techniques, and Applications

Tran¹,

Vo²,

Nguyen³

et al. 2021

EAI Endorsed Transactions on Industrial Networks and Intelligen

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“…In particular, D2D communication can play a crucial role in emergency situations, as it allows devices to communicate directly with each other without relying on a centralized network [63,64]. This can be especially useful in scenarios where network infrastructure may be damaged or overloaded, as D2D communication can operate on a peer-to-peer basis and bypass the need for a central network [65,66].…”

mentioning

confidence: 99%

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

Abdalzaher,

Krichen,

Yiltas-Kaplan

et al. 2023

Sustainability

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Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a sustainable EEWS that is capable of providing early warning to people and coordinating disaster response efforts. To achieve this goal, we provide an overview of the fundamental concepts of seismic waves and associated signal processing. We then present a detailed discussion of the IoT-enabled EEWS, including the use of IoT networks to track the actions taken by various EEWS organizations and the cloud infrastructure to gather data, analyze it, and send alarms when necessary. Furthermore, we present a taxonomy of emerging EEWS approaches using IoT and cloud facilities, which includes the integration of advanced technologies such as machine learning (ML) algorithms, distributed computing, and edge computing. We also elaborate on a generic EEWS architecture that is sustainable and efficient and highlight the importance of considering sustainability in the design of such systems. Additionally, we discuss the role of drones in disaster management and their potential to enhance the effectiveness of EEWS. Furthermore, we provide a summary of the primary verification and validation methods required for the systems under consideration. In addition to the contributions mentioned above, this study also highlights the implications of using IoT and cloud infrastructure in early earthquake detection and disaster management. Our research design involved a comprehensive survey of the existing literature on early earthquake warning systems and the use of IoT and cloud infrastructure. We also conducted a thorough analysis of the taxonomy of emerging EEWS approaches using IoT and cloud facilities and the verification and validation methods required for such systems. Our findings suggest that the use of IoT and cloud infrastructure in early earthquake detection can significantly improve the speed and effectiveness of disaster response efforts, thereby saving lives and reducing the economic impact of earthquakes. Finally, we identify research gaps in this domain and suggest future directions toward achieving a sustainable EEWS. Overall, this study provides valuable insights into the use of IoT and cloud infrastructure in earthquake disaster early detection and emphasizes the importance of sustainability in designing such systems.

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Performance evaluation of hybrid disaster recovery framework with D2D communications

Cited by 24 publications

References 24 publications

Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks

Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks

D2D Multi-hop Multi-path Communications in B5G Networks: A Survey on Models, Techniques, and Applications

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

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