Incentive techniques for the Internet of Things: A survey

【Author】 Maddikunta, Praveen Kumar Reddy; Pham, Quoc-Viet; Nguyen, Dinh C.; Huynh-The, Thien; Aouedi, Ons; Yenduri, Gokul; Bhattacharya, Sweta; Gadekallu, Thippa Reddy

【Source】JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

【影响因子】7.574

【Abstract】The Internet of Things (IoT) has remarkably evolved over the last few years to realize a wide range of newly emerging services and applications empowered by the unprecedented proliferation of smart devices. The quality of IoT networks heavily relies on the involvement of devices for undertaking functions from data sensing, computation to communication and IoT intelligence. Stimulating IoT devices to actively participate and contribute to the network is a practical challenge, where incentive techniques such as blockchain, game theory, and Artificial Intelligence (AI) are highly desirable to build a sustainable IoT ecosystem. In this article, we present a systematic literature review of the incentive techniques for IoT, aiming to provide general readers with an overview of incentive-enabled IoT from background, motivations, and enabling techniques. Particularly, we first present the fundamentals of IoT data network infrastructure, and several key incentive techniques for IoT are described in details, including blockchain, game theory, and AI. We next provide an extensive review on the use of these incentive techniques in a number of key IoT services, such as IoT data sharing, IoT data offloading and caching, IoT mobile crowdsensing, and IoT security and privacy. Subsequently, we explore the potential of incentives in important IoT applications, ranging from smart healthcare, smart transportation to smart city and smart industry. The research challenges of incentive techniques in IoT networks are highlighted, and the potential directions are also pointed out for future research of this important area.

【Keywords】Incentives; Internet of Things; Game theory; Blockchain; Artificial intelligence; Smart applications

【发表时间】2022 OCT

【收录时间】2022-12-26

【文献类型】综述

【主题类别】

区块链技术-协同技术-物联网