Matching With Contracts-Based Resource Trading and Price Negotiation in Multi-Access Edge Computing

Su, Chunxia; Ye, Fang; Zha, Yiyong; Liu, Tingting; Zhang, Yun‐Fei; Han, Zhu

doi:10.1109/lwc.2021.3049169

Cited by 7 publications

(1 citation statement)

References 15 publications

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“…Contract design [7] has typically been used in operations research with applications to retail, financial markets [8], insurances [9], supply chains [10], etc. With the emergence of IoT and the data markets [11], new service models such as the SaaS are being developed enabling new possibilities such as resource trading [12], [13], opportunistic IoT [14], task offloading and outsourcing [15], and performance oriented resource provisioning [16], [17]. Therefore, there is a need for developing effective contracts [18] and pricing schemes [19], [20] that incentivize the interactions between users and service providers of data in the IoT ecosystem.…”

Section: A Related Workmentioning

confidence: 99%

QoS Based Contract Design for Profit Maximization in IoT-Enabled Data Markets

Chen,

Farooq,

Zhu

2023

Preprint

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The massive deployment of Internet of Things (IoT) devices, including sensors and actuators, is ushering in smart and connected communities of the future. The massive deployment of Internet of Things (IoT) devices, including sensors and actuators, is ushering in smart and connected communities of the future. The availability of real-time and high-quality sensor data is crucial for various IoT applications, particularly in healthcare, energy, transportation, etc. However, data collection may have to be outsourced to external service providers (SPs) due to cost considerations or lack of specialized equipment. Hence, the data market plays a critical role in such scenarios where SPs have different quality levels of available data, and IoT users have different application-specific data needs. The pairing between data available to the SP and users in the data market requires an effective mechanism design that considers the SPs' profitability and the quality-of-service (QoS) needs of the users. We develop a generic framework to analyze and enable such interactions efficiently, leveraging tools from contract theory and mechanism design theory. It can enable and empower emerging data sharing paradigms such as Sensing-as-a-Service (SaaS). The contract design creates a pricing structure for on-demand sensing data for IoT users. By considering a continuum of user types, we capture a diverse range of application requirements and propose optimal pricing and allocation rules that ensure QoS provisioning and maximum profitability for the SP. Furthermore, we provide analytical solutions for fixed distributions of user types to analyze the developed approach. For comparison, we consider the benchmark case assuming complete information of the user types and obtain optimal contract solutions. Finally, a case study based on the example of virtual reality application delivered using unmanned aerial vehicles (UAVs) is presented to demonstrate the efficacy of the proposed contract design framework.

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