Distributed Service Discovery in Mobile IoT Environments Using Hierarchical Bloom Filters

Jo, Hyeon-Jun; Kwon, Jung-Hyun; Ko, In-Young

doi:10.1007/978-3-319-19890-3_32

Cited by 10 publications

(12 citation statements)

References 11 publications

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“…However in Li et al ’s work (2015), the context information has been included in the service metadata proposed to describe the service; the service metadata includes service description, context description, identification of the related objects and universal resource identifier of the service. (Jo et al (2015) designed a service table that constitutes the status information of the resource capabilities required to instantiate a service. The records-based service description model is not suitable to describe the IoT service; this is because of the dynamic features requiring for the IoT services.…”

Section: Comparative Analysis Of Service Discovery Approaches In Internet Of Thingsmentioning

confidence: 99%

“…Jo et al (2015) represented the IoT-based service environments using an ontology model composed of tasks, services and resources. Each one of these concepts provides its own capabilities.…”

Section: Comparative Analysis Of Service Discovery Approaches In Internet Of Thingsmentioning

confidence: 99%

“…Other solutions adopt other structures except P2P networks such as the work of Jo et al (2015) who proposed a fast and flexible approach for discovering IoT-based services in mobile IoT environments. This work applied Bloom filters to the configuration and management of distributed service registries.…”

Section: Comparative Analysis Of Service Discovery Approaches In Internet Of Thingsmentioning

confidence: 99%

See 2 more Smart Citations

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

Aziez

Benharzallah

Bennoui

2019

IJPCC

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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.

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Section: Comparative Analysis Of Service Discovery Approaches In Internet Of Thingsmentioning

confidence: 99%

“…Jo et al (2015) represented the IoT-based service environments using an ontology model composed of tasks, services and resources. Each one of these concepts provides its own capabilities.…”

Section: Comparative Analysis Of Service Discovery Approaches In Internet Of Thingsmentioning

confidence: 99%

Section: Comparative Analysis Of Service Discovery Approaches In Internet Of Thingsmentioning

confidence: 99%

See 1 more Smart Citation

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

Aziez

Benharzallah

Bennoui

2019

IJPCC

View full text Add to dashboard Cite

show abstract

“…The quantity and validity of IoT awareness terminals always change dynamically. Therefore, the IoT system needs to be able to discover device services, establish dynamic service repository and manage the lifecycle-related service activities, such as service running, stop, elimination, upgrade and installation [8] .…”

Section: A System Requirementsmentioning

confidence: 99%

The Research on IoT System Construction Method to Support Collaborative Awareness Service

Yang¹,

Zhang²

2015

Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

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The current IoT (Internet of Things) systems lack the ability of collaborative awareness. Therefore, an IoT system architecture supporting collaborative awareness service is presented. First, in order to hide the heterogeneous factors of IoT, a SOA (Service-Oriented Architecture) based IoT middleware infrastructure is accepted and applied. Then, the components in different levels of middleware platform are designed and described to support dynamic service composition, and provide an event-driven service collaboration mechanism. Finally, the capabilities of the presented architecture to support collaborative awareness service are analyzed and evaluated from three aspects: activity awareness, policy awareness and process awareness. By the presented IoT system infrastructure, the system developers and service process designers can dynamically search, select, and use the real-world services running on physical devices.

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“…There are several well-known drawbacks that make this approach unsuitable for IoT in a real-world scenario, e.g., low scalability and dependability. To overcome these limitations, other approaches have relied on distributed repositories to support the discovery process [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A semantic-based discovery service for the Internet of Things

Gomes

Cavalcante

Batista

et al. 2019

J Internet Serv Appl

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With the Internet of Things (IoT), applications should interact with a huge number of devices and retrieve context data produced by those objects, which have to be discovered and selected a priori. Due to the number, heterogeneity, and dynamicity of resources, discovery services are required to consider many selection criteria, e.g., device capabilities, location, context data type, contextual situations, and quality. In this paper, we describe QoDisco, a semantic-based discovery service that addresses this requirement in IoT. QoDisco is composed of a set of repositories storing resource descriptions according to an ontology-based information model and it provides multi-attribute and range querying capabilities. We have evaluated different approaches to reduce the inherent cost of semantic search, namely parallel interactions with multiple repositories and publish-subscribe interactions. This paper also reports the results of some performance experiments on QoDisco with respect to these approaches to handle resource discovery requests in IoT.

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Distributed Service Discovery in Mobile IoT Environments Using Hierarchical Bloom Filters

Cited by 10 publications

References 11 publications

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

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

The Research on IoT System Construction Method to Support Collaborative Awareness Service

A semantic-based discovery service for the Internet of Things

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