Incentive mechanisms for smartphone collaboration in data acquisition and distributed computing

Duan, Lingjie; Kubo, Takahiro; Sugiyama, Kohei; Huang, Jianwei; Hasegawa, Teruyuki; Walrand, Jean

doi:10.1109/infcom.2012.6195541

Cited by 240 publications

(131 citation statements)

References 10 publications

Supporting

Mentioning

127

Contrasting

Unclassified

Order By: Relevance

“…In [14], Singer and Mittal proposed a pricing mechanism, which enables automating the process of pricing and allocating tasks for requesters in complex markets. In [15], Duan et al considered different incentive mechanisms to motivate the collaboration of smartphone users on data acquisition and distributed computing.…”

Section: Related Workmentioning

confidence: 99%

A Privacy-Preserving Incentive Mechanism for Participatory Sensing Systems

Niu¹,

Wang²,

Ye³

et al. 2018

Security and Communication Networks

View full text Add to dashboard Cite

The proliferation of mobile devices has facilitated the prevalence of participatory sensing applications in which participants collect and share information in their environments. The design of a participatory sensing application confronts two challenges: "privacy" and "incentive" which are two conflicting objectives and deserve deeper attention. Inspired by physical currency circulation system, this paper introduces the notion of E-cent, an exchangeable unit bearer currency. Participants can use the E-cent to take part in tasks anonymously. By employing E-cent, we propose an E-cent-based privacy-preserving incentive mechanism, called EPPI. As a dynamic balance regulatory mechanism, EPPI can not only protect the privacy of participant, but also adjust the whole system to the ideal situation, under which the rated tasks can be finished at minimal cost. To the best of our knowledge, EPPI is the first attempt to build an incentive mechanism while maintaining the desired privacy in participatory sensing systems. Extensive simulation and analysis results show that EPPI can achieve high anonymity level and remarkable incentive effects.

show abstract

Section: Related Workmentioning

confidence: 99%

A Privacy-Preserving Incentive Mechanism for Participatory Sensing Systems

Niu¹,

Wang²,

Ye³

et al. 2018

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…[11][12][13][14][15][16]) have been proposed in the literature, but not many of them have been applied in real-world crowdsensing applications. Viewed with the lens of SPECTRUM, Table 1 shows how a combination of factors could influence the choice of incentive used in real-world mobile crowdsensing applications.…”

Section: Adoption Of Incentive Mechanisms In Real-world Mobile Crowdsmentioning

confidence: 99%

“…[11][12][13][14][15][16]) have been proposed to address this problem, many of which are designed to suit the crowdsensing context and specific requirements of the underlying sensing initiative. Despite the proliferation of these technical solutions, Restuccia et al [17] draw attention to the fact that it is yet unclear what is the most appropriate incentive to adopt in motivating users to participate in mobile crowdsensing.…”

mentioning

confidence: 99%

Adopting incentive mechanisms for large-scale participation in mobile crowdsensing: from literature review to a conceptual framework

Ogie

2016

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

Mobile crowdsensing is a burgeoning concept that allows smart cities to leverage the sensing power and ubiquitous nature of mobile devices in order to capture and map phenomena of common interest. At the core of any successful mobile crowdsensing application is active user participation, without which the system is of no value in sensing the phenomenon of interest. A major challenge militating against widespread use and adoption of mobile crowdsensing applications is the issue of how to identify the most appropriate incentive mechanism for adequately and efficiently motivating participants. This paper reviews literature on incentive mechanisms for mobile crowdsensing and proposes the concept of SPECTRUM as a guide for inferring the most appropriate type of incentive suited to any given crowdsensing task. Furthermore, the paper highlights research challenges and areas where additional studies related to the different factors outlined in the concept of SPECTRUM are needed to improve citizen participation in mobile crowdsensing. It is envisaged that the broad range of factors covered in SPECTRUM will enable smart cities to efficiently engage citizens in large-scale crowdsensing initiatives. More importantly, the paper is expected to trigger empirical investigations into how various factors as outlined in SPECTRUM can influence the type of incentive mechanism that is considered most appropriate for any given mobile crowdsensing initiative.

show abstract

“…Como incentivar os proprietários de dispositivos a compartilhar seus recursos computacionais é um fator chave para o sucesso de uma grade móvel, há alguns trabalhos na literatura que discutem mecanismos de incentivo à participação (Teske et al, 2011;Duan et al, 2012;Li & Shen, 2012).…”

Section: Incentivo à Participaçãounclassified

“…Particularmente, no trabalho de Duan et al (2012), são apresentados e avaliados mecanismos de colaboração baseados em recompensas. Os autores consideram que, ao submeter uma aplicação, o usuário define uma recompensa que pode ser dividida entre os proprietários dos diversos dispositivos móveis participantes.…”

Section: Incentivo à Participaçãounclassified

Escalonamento em grades móveis: uma abordagem ciente do consumo de energia

Borro¹

View full text Add to dashboard Cite

Incentive mechanisms for smartphone collaboration in data acquisition and distributed computing

Cited by 240 publications

References 10 publications

A Privacy-Preserving Incentive Mechanism for Participatory Sensing Systems

A Privacy-Preserving Incentive Mechanism for Participatory Sensing Systems

Adopting incentive mechanisms for large-scale participation in mobile crowdsensing: from literature review to a conceptual framework

Escalonamento em grades móveis: uma abordagem ciente do consumo de energia

Contact Info

Product

Resources

About