Competitive Data Trading in Wireless-Powered Internet of Things (IoT) Crowdsensing Systems with Blockchain

Feng, Shijie; Wang, Wenbo; Niyato, Dusit; Kim, Dong In; Wang, Ping

doi:10.1109/iccs.2018.8689231

Cited by 14 publications

(6 citation statements)

References 12 publications

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“…The proposed ecosystem securely processes the data, but, the data source and analysis results highly depend on a trusted SGX-based execution environment. Feng et al [15] proposed a decentralized blockchain-based platform for data storage and trading in a wireless powered IoT crowdsensing system. The data from RF-energy beacons are transmitted to the ledger for decentralized services, which supports the analytical condition for valuable results about the equilibrium strategies in the distributed systems.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Analysis of Data Trading on Blockchain-Based Market in IoT Networks

Nguyen

Leyva-Mayorga

Lewis

et al. 2021

IEEE Internet Things J.

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Mobile devices with embedded sensors for data collection and environmental sensing create a basis for a costeffective approach for data trading. For example, these data can be related to pollution and gas emissions, which can be used to check the compliance with national and international regulations. The current approach for IoT data trading relies on a centralized third-party entity to negotiate between data consumers and data providers, which is inefficient and insecure on a large scale. In comparison, a decentralized approach based on distributed ledger technologies (DLT) enables data trading while ensuring trust, security, and privacy. However, due to the lack of understanding of the communication efficiency between sellers and buyers, there is still a significant gap in benchmarking the data trading protocols in IoT environments. Motivated by this knowledge gap, we introduce a model for DLT-based IoT data trading over the narrowband Internet-of-Things (NB-IoT) system, intended to support massive environmental sensing. We characterize the communication efficiency of three basic DLT-based IoT data trading protocols via NB-IoT connectivity in terms of latency and energy consumption. The model and analyses of these protocols provide a benchmark for IoT data trading applications.

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Section: Introductionmentioning

confidence: 99%

Modeling and Analysis of Data Trading on Blockchain-Based Market in IoT Networks

Nguyen

Leyva-Mayorga

Lewis

et al. 2021

IEEE Internet Things J.

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“…Following the approaches described in Section VII-A, the blockchain network delegates the data storage to an inde-pendent storage layer and only keeps the metadata on-chain. Similar blockchain-based frameworks are also adopted for crowdsensing in recent studies such as [210], [211], where additional functionalities are adopted in the blockchain networks to address different performance requirement such as throughput scalability [210] and anonymity enhancement [211].…”

Section: B Access Control and Self-organizationmentioning

confidence: 99%

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

et al. 2019

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The past decade has witnessed the rapid evolution in blockchain technologies, which has attracted tremendous interests from both the research communities and industries. The blockchain network was originated from the Internet financial sector as a decentralized, immutable ledger system for transactional data ordering. Nowadays, it is envisioned as a powerful backbone/framework for decentralized data processing and datadriven self-organization in flat, open-access networks. In particular, the plausible characteristics of decentralization, immutability and self-organization are primarily owing to the unique decentralized consensus mechanisms introduced by blockchain networks. This survey is motivated by the lack of a comprehensive literature review on the development of decentralized consensus mechanisms in blockchain networks. In this survey, we provide a systematic vision of the organization of blockchain networks. By emphasizing the unique characteristics of incentivized consensus in blockchain networks, our in-depth review of the state-ofthe-art consensus protocols is focused on both the perspective of distributed consensus system design and the perspective of incentive mechanism design. From a game-theoretic point of view, we also provide a thorough review on the strategy adoption for self-organization by the individual nodes in the blockchain backbone networks. Consequently, we provide a comprehensive survey on the emerging applications of the blockchain networks in a wide range of areas. We highlight our special interest in how the consensus mechanisms impact these applications. Finally, we discuss several open issues in the protocol design for blockchain consensus and the related potential research directions.

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“…With the help of four smart contracts, it deployed a novel incentive mechanism in the blockchain. Feng et al [30] investigated the limitation of the existing IoT frameworks and proposed a purely decentralised platform of crowdsensing by adopting permissionless blockchain technology. The author formulated a noncooperative game to analysis the competitive situations among the sensors.…”

Section: Related Workmentioning

confidence: 99%

A Blockchain-Based Reward Mechanism for Mobile Crowdsensing

Yang

Wang

et al. 2020

IEEE Trans. Comput. Soc. Syst.

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Mobile CrowdSensing (MCS) is a novel sensing scenario of Cyber-Physical-Social Systems. MCS has been widely adopted in smart cities, personal health care, and environment monitor areas. MCS applications recruit participants to obtain sensory data from the target area by allocating reward to them. Reward mechanisms are crucial in stimulating participants to join and provide sensory data. However, while the MCS applications execute the reward mechanisms, sensory data and personal private information can be in great danger, because of malicious task initiators/participants and hackers. This work proposes a novel blockchain-based MCS framework that preserves privacy and which secures both the sensing process and the incentive mechanism by leveraging the emergent blockchain technology. Moreover, to provide a fair incentive mechanism, this paper has considered an MCS scenario as a sensory data market, where the market separates the participants into two categories: monthlypay participants and instant-pay participants. By analysing two different kinds of participants and the task initiator, this paper proposes an incentive mechanism aided by a three-stage Stackelberg game. Through theoretical analysis and simulation, the evaluation addresses two aspects: the reward mechanism and the performance of the blockchain-based MCS. The proposed reward mechanism achieves up to a ten percent improvement of the task initiator's utility compared with a traditional Stackelberg game. It can also maintain the required market share for monthly-pay participants whilst achieving sustainable sensory data provision. The evaluation of the blockchain-based MCS shows that the latency increases in a tolerable manner as the number of participants grows. Finally, the paper discusses the future challenges of blockchain-based MCS. Index Terms-Mobile crowdsensing, blockchain, reward mechanism, Stackelberg game, sensory data market I. INTRODUCTION T HE development of network technology, sensing devices, and social networks has increased the deployment of the next generation of Internet of Things (IoT)-Mobile CrowdSensing (MCS). MCS is a novel sensing framework, which is assisted by smartphone sensors and with the inclusion of human intelligence in the loop. MCS has become a typical application in Cyber-Physical-Social Systems (CPSS) [1], [2] because it adopts the multidisciplinary approach where knowledge from communication, computer science, computer network, economic, psychology, and social research unite to provide a solution of a sensing task.

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Competitive Data Trading in Wireless-Powered Internet of Things (IoT) Crowdsensing Systems with Blockchain

Cited by 14 publications

References 12 publications

Modeling and Analysis of Data Trading on Blockchain-Based Market in IoT Networks

Modeling and Analysis of Data Trading on Blockchain-Based Market in IoT Networks

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

A Blockchain-Based Reward Mechanism for Mobile Crowdsensing

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