A full comparison study of service discovery approaches for internet of things

Abstract

Purpose The purpose of this paper is to address the Internet of Things (IoT) service discovery problem and investigate the existing solutions to tackle this problem in many aspects. Design/methodology/approach This paper presents an overview of IoT services aiming at providing a clear understanding about their features because this term is still ambiguous for the IoT service discovery approaches. Besides, a full comparison study of the most representative service discovery approaches in the literature is presented over four perspectives: the IoT information model, the mechanism of IoT service discovery, the adopted architecture and the context awareness. These perspectives allow classifying, comparing and giving a deeper understanding of the existing IoT service discovery solutions. Findings This paper presents a new definition and a new classification of IoT services and citation of their features comparing with the traditional Web services. This paper discusses the existing solutions, as well as the main challenges, that face the service discovery issue in the IoT domain. Besides, two classifications of the approaches are adopted on the basis of their service description model and their mechanism of discovery, and a set of requirements that need to be considered when defining an IoT service are proposed. Originality/value There are few number works that survey the service discovery approaches in the IoT domain, but none of these surveys discuss the service description models in the IoT or the impact of the context awareness aspect in the service discovery solution. There are also few works that give a comprehensive overview of IoT services to understand their nature to facilitate their description and discovery. This paper fills this gap by performing a full comparison study of multi-category and recent approaches for service discovery in the IoT over many aspects and also by performing a comprehensive study of the IoT service features.

Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain

“…The interviews also indicated a reluctance of organisations to commit to purchasing technology until standardisation issues are resolved. These findings are closely aligned with the findings by Aziez et al (2019) and Sorri et al (2022) which clearly indicate that the standardisation remains a challenge for IoT have had a direct impact on the willingness of organisations to commit to IoT. Within, this context, it is reasonable to expect that "soft" issues such as human capital will not be at the forefront or organisational endeavour.…”

“…While the benefits of IoT implementation are widely discussed and researched, it is clear from the literature that several challenges remain. Aziez et al (2019) remarked that IoT is not reliable, stable, or standardised while Ahamed et al (2021) noted that applications and platforms behave inconsistently and fail to interpret data thereby making interoperability a challenge. Other researchers such as Rane and Narvel (2021) emphasised the security and privacy threats that IoT poses.…”

Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review

“…Also, to ensure autonomy and the lowest possible human intervention, a certain degree of intelligence should be integrated. In this perspective, services need to be self-informative while dynamically hosting and decoupling other services or apps to cope with dynamic changes followed by continuous updates (Aziez et al , 2019).…”

Reusability and discovery models in software systems: a systematic literature review.

“…Discovery models in the field of IoT/WoT should also consider other essential aspects in CPS, such as interoperability, security, or heterogeneity of services, among other possible examples (Aziez et al 2019). The 27050-1 standard (ISO/IEC 2019) describes electronic discovery, the process of discovering electronically stored information or data.…”