A Joint User Scheduling and Trajectory Planning Data Collection Strategy for the UAV-Assisted WSN

Wang, Xindi; Liu, Xinyu; Cheng, Chi‐Tsun; Deng, Lei; Chen, Xiaojing; Xiao, Fu

doi:10.1109/lcomm.2021.3067898

Cited by 34 publications

(19 citation statements)

References 14 publications

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“…There is a risk of data leakage, tampering, or loss if the metaverse relies on a central storage system. The high probability of data loss [52] and corruption in centralized applications endangers the metaverse's ability to provide biometric data, vocal inflections, and vital signs that rely on sensitive data [53]. Data labeling and organization will be another significant challenge with huge amounts of data produced by the metaverse applications [54].…”

Section: B Data Storage 1) Introductionmentioning

confidence: 99%

Blockchain for the Metaverse: A Review

Gadekallu¹,

Huynh‐The²,

Wang³

et al. 2022

Preprint

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Since Facebook officially changed its name to Metaverse in Oct. 2021, the metaverse has become a new norm of social networks and three-dimensional (3D) virtual worlds. The metaverse aims to bring 3D immersive and personalized experiences to users by leveraging many pertinent technologies. Despite great attention and benefits, a natural question in the metaverse is how to secure its users' digital content and data. In this regard, blockchain is a promising solution owing to its distinct features of decentralization, immutability, and transparency. To better understand the role of blockchain in the metaverse, we aim to provide an extensive survey on the applications of blockchain for the metaverse. We first present a preliminary to blockchain and the metaverse and highlight the motivations behind the use of blockchain for the metaverse. Next, we extensively discuss blockchain-based methods for the metaverse from technical perspectives, such as data acquisition, data storage, data sharing, data interoperability, and data privacy preservation. For each perspective, we first discuss the technical challenges of the metaverse and then highlight how blockchain can help. Moreover, we investigate the impact of blockchain on key-enabling technologies in the metaverse, including Internet-of-Things, digital twins, multi-sensory and immersive applications, artificial intelligence, and big data. We also present some major projects to showcase the role of blockchain in metaverse applications and services. Finally, we present some promising directions to drive further research innovations and developments towards the use of blockchain in the metaverse in the future.

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Section: B Data Storage 1) Introductionmentioning

confidence: 99%

Blockchain for the Metaverse: A Review

Gadekallu¹,

Huynh‐The²,

Wang³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…If the metaverse relies on a central storage system, there is a risk of data leakage, manipulation, or loss. The potential of the metaverse to offer biometric data, voice inflections, and vital signs that depend on sensitive data is also jeopardized by the likelihood of data loss and corruption in centralized applications [116], [117].…”

Section: A Open Challenges For Maasmentioning

confidence: 99%

Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain

Ahsani¹,

Rahimi²,

Letafati³

et al. 2023

Preprint

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In this article, the authors provide a comprehensive overview on three core pillars of metaverse-as-a-service (MaaS) platforms; privacy and security, edge computing, and blockchain technology. The article starts by investigating security aspects for the wireless access to the metaverse. Then it goes through the privacy and security issues inside the metaverse from data-centric, learning-centric, and human-centric points-of-view. The authors address private and secure mechanisms for privatizing sensitive data attributes and securing machine learning algorithms running in a distributed manner within the metaverse platforms. Novel visions and less-investigated methods are reviewed to help mobile network operators and metaverse service providers facilitate the realization of secure and private MaaS through different layers of the metaverse, ranging from the access layer to the social interactions among clients. Later in the article, it has been explained how the paradigm of edge computing can strengthen different aspects of the metaverse. Along with that, the challenges of using edge computing in the metaverse have been comprehensively investigated. Additionally, the paper has comprehensively investigated and analyzed 10 main challenges of MaaS platforms and thoroughly discussed how blockchain technology provides solutions for these constraints. At the final, future vision and directions, such as content-centric security and zero-trust metaverse, some blockchain's unsolved challenges are also discussed to bring further insights for the network designers in the metaverse era.

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“…Related Works. Some researches of sensors selection have been applied in target tracking system, cooperative detection system, and so on [3,4]. Jamali et al embedded a penalty item into objective function of sensors selection to enhance sparsity of solver, and it was only used in low dimension scene [5].…”

Section: Introductionmentioning

confidence: 99%

Sensor Selection Scheme considering Uncertainty Disturbance

et al. 2022

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In multisensor cooperative detection network, some random disturbances, energy carried by sensor, distance between target and sensor node, and so on all affect the sensor selection scheme. To effectively select some sensors for detecting the target, a novel sensor selection method considering uncertainty disturbance is proposed under constraints of estimation accuracy and energy consumption. Firstly, the sensor selection problem is modeled as a binary form optimization problem with a penalty term to minimize the number of sensors. Secondly, some factors (precision, energy, and distance, etc.) affecting the sensor selection scheme are analyzed and quantified, and energy consumption matrix and estimation precision threshold are given by matrix tra‘nsformation. Finally, the problem of minimizing sensor number after relaxation is solved by convex optimization method, obtaining sensor selection scheme by discretization and legitimization of the suboptimal solution after convex relaxation. Simulation results show that the proposed algorithm can ensure the minimum number of sensors, improving accuracy of state estimation and saving network energy.

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A Joint User Scheduling and Trajectory Planning Data Collection Strategy for the UAV-Assisted WSN

Cited by 34 publications

References 14 publications

Blockchain for the Metaverse: A Review

Blockchain for the Metaverse: A Review

Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain

Sensor Selection Scheme considering Uncertainty Disturbance

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