MPCSToken: Smart Contract Enabled Fault-Tolerant Incentivisation for Mobile P2P Crowd Services

Shi, Fengrui; Qin, Zhijin; Wu, Di; McCann, Julie A.

doi:10.1109/icdcs.2018.00097

Cited by 20 publications

(12 citation statements)

References 28 publications

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“…If this happens in the same partition and the last hop is directed to an access point to connect remote data server, then it can be classified as the first type of IoT flow. Otherwise, if the last hop is an IoT device (not an access point) in the same partition as the origin device, then the IoT flow is transmitted by purely multi-hop wireless communication without SDN support [46], [47]; it does not belong to the discussion of this paper, since we focus on using SDN to improve the IoT multinetwork performance.…”

Section: System Overviewmentioning

confidence: 99%

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

Nie

Asmare

et al. 2020

IEEE Trans. Parallel Distrib. Syst.

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The growth of Internet of Things (IoT) devices with multiple radio interfaces has resulted in a number of urban-scale deployments of IoT multinetworks, where heterogeneous wireless communication solutions coexist (e.g. WiFi, Bluetooth, Cellular). Managing the multinetworks for seamless IoT access and handover, especially in mobile environments, is a key challenge. Software-defined networking (SDN) is emerging as a promising paradigm for quick and easy configuration of network devices, but its application in urban-scale multinetworks requiring heterogeneous and frequent IoT access is not well studied. In this paper we present UbiFlow, the first software-defined IoT system for combined ubiquitous flow control and mobility management in urban heterogeneous networks. UbiFlow adopts multiple controllers to divide urban-scale SDN into different geographic partitions (assigning one controller per partition) and achieve distributed control of IoT flows. A distributed hashing based overlay structure is proposed to maintain network scalability and consistency. Based on this UbiFlow overlay structure, the relevant issues pertaining to mobility management such as scalable control, fault tolerance, and load balancing have been carefully examined and studied. The UbiFlow controller differentiates flow scheduling based on per-device requirements and whole-partition capabilities. Therefore, it can present a network status view and optimized selection of access points in multinetworks to satisfy IoT flow requests, while guaranteeing network performance for each partition. Simulation and realistic testbed experiments confirm that UbiFlow can successfully achieve scalable mobility management and robust flow scheduling in IoT multinetworks; e.g. 67.21% throughput improvement, 72.99% reduced delay, and 69.59% jitter improvements, compared with alternative SDN systems.

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Section: System Overviewmentioning

confidence: 99%

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

Nie

Asmare

et al. 2020

IEEE Trans. Parallel Distrib. Syst.

Self Cite

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“…However, it did not give the detail on how to allocate the reward to each participant. Shi et al [32] proposed a fault-tolerant incentivisation mechanism for mobile P2P crowd service (MPCS). They designed an MPCSToken smart contract to facilitate the service auction, task execution and payment settlement process with the help of blockchain technology.…”

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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“…Recently, blockchain has gained popularity as the underlying trusted computation platform in various scenarios [24]- [26], the great majority of these applications replace the too powerful centralized server with the distributed and reliable blockchain platform. In MCS applications, several privacy-preserving schemes based on blockchain have been proposed to deal with malicious behaviors [2], [9], [10], [27]. Note that the malicious behaviors mean the behaviors of malicious central server and malicious users.…”

Section: Related Workmentioning

confidence: 99%

“…Nevertheless, the latency of this scheme is high and it cannot apply in large-scale MCS scenarios. In [27] and [9], they utilize blockchain to build semi-anonymous multi-party interactions in MCS to maintain user privacy and design an incentive mechanism to prevent malicious behavior using smart contract, an emerging blockchain-based programming scheme where code execution is reliable and transparent.…”

Section: Related Workmentioning

confidence: 99%

“…By introducing blockchain technology to MCS scenario, we can replace the powerful centralized server with a reliable decentralized computing environment. Many applications have utilized blockchain technology to construct credible computing platform, such as decentralized crowdsourcing platform [8], fault-tolerant incentivization system [9] and secure knowledge discovery platform [10]. Nevertheless, due to the limited storage space and computing resource of mobile devices, blockchain cannot be applied to MCS directly.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing

et al. 2019

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Mobile crowdsensing (MCS) is an emerging data collection paradigm that exploits the potential of individual mobile devices to acquire mass data in a cost-effective manner. One of the important challenges in MCS application is to resist malicious users who provide false data to disturb the system. In the existing work, the reputation management scheme is an effective way to overcome the challenge. However, most reputation management schemes rely on a semi-honest server and process data in the plaintext domain without considering server security and user privacy. In this paper, we integrate the blockchain and edge computing in the MCS scenario to construct a credible and efficient blockchain-based MCS system, called BC-MCS. To resist malicious users, we present a privacy-preserving reputation management scheme based on the proposed system. Furthermore, we design a delegation protocol to solve the inherent problem of user dynamics in the MCS. The prototype system implemented on the Hyperledger Sawtooth and Android client demonstrates that our scheme can achieve higher utility and security levels in handling malicious users compared with the previous centralized reputation management schemes.INDEX TERMS Mobile crowdsensing, reputation management, privacy, blockchain, edge computing.

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MPCSToken: Smart Contract Enabled Fault-Tolerant Incentivisation for Mobile P2P Crowd Services

Cited by 20 publications

References 28 publications

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

A Blockchain-Based Reward Mechanism for Mobile Crowdsensing

Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing

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