Secured Service Discovery for Internet of Things: Context Awareness Perspective

2020 ◽  
Author(s):  
K.Sakthidasan Sankaran ◽  
N. Vasudevan ◽  
V. Nagarajan
Keyword(s):  
Internet Of Things ◽  
Context Awareness ◽  
Service Discovery

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

2019 ◽  
Vol 15 (1) ◽  
pp. 30-56 ◽  
Author(s):  
Meriem Aziez ◽  
Saber Benharzallah ◽  
Hammadi Bennoui
Keyword(s):  
Internet Of Things ◽  
Context Awareness ◽  
Service Discovery ◽  
Clear Understanding ◽  
Comparison Study ◽  
Service Description ◽  
Comprehensive Overview ◽  
Content Type ◽  
The Impact

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.

Service Discovery Framework for Distributed Embedded Real-Time Systems

2014 ◽  
pp. 126-147 ◽  
Author(s):  
Furkh Zeshan ◽  
Radziah Mohamad ◽  
Mohammad Nazir Ahmad
Keyword(s):  
Web Services ◽  
Real Time ◽  
Context Awareness ◽  
Service Discovery ◽  
Low Cost ◽  
High Volume ◽  
Heterogeneous Environments ◽  
Real Time Systems ◽  
Loosely Coupled ◽  
Time Systems

Embedded systems are supporting the trend of moving away from centralised, high-cost products towards low-cost and high-volume products; yet, the non-functional constraints and the device heterogeneity can lead to system complexity. In this regard, Service-Oriented Architecture (SOA) is the best methodology for developing a loosely coupled, dynamic, flexible, distributed, and cost-effective application. SOA relies heavily on services, and the Semantic Web, as the advanced form of the Web, handles the application complexity and heterogeneity with the help of ontology. With an ever-increasing number of similar Web services in UDDI, a functional description of Web services is not sufficient for the discovery process. It is also difficult to rank the similar services based on their functionality. Therefore, the Quality of Service (QoS) description of Web services plays an important role in ranking services within many similar functional services. Context-awareness has been widely studied in embedded and real-time systems and can also play an important role in service ranking as an additional set of criteria. In addition, it can enhance human-computer interaction with the help of ontologies in distributed and heterogeneous environments. In order to address the issues involved in ranking similar services based on the QoS and context-awareness, the authors propose a service discovery framework for distributed embedded real-time systems in this chapter. The proposed framework considers user priorities, QoS, and the context-awareness to enable the user to select the best service among many functional similar services.

scholarly journals IoH: A Platform for the Intelligence of Home with a Context Awareness and Ambient Intelligence Approach

2019 ◽  
Vol 11 (3) ◽  
pp. 58 ◽  
Author(s):  
Luis Gomes ◽  
Carlos Ramos ◽  
Aria Jozi ◽  
Bruno Serra ◽  
Lucas Paiva ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Context Awareness ◽  
Intelligent Systems ◽  
Ambient Intelligence ◽  
Air Conditioner ◽  
Light Control ◽  
Home Context ◽  
Intelligent Methods ◽  
Intelligence Approach ◽  
Real Building

This paper presents IoH (Intelligence of Home), a platform developed to test some basic intelligent behaviors in Home context. Internet of Things, ambient intelligence and context awareness approaches motivated the development of IoH. The platform involves six layers, responsible by connectivity, persistency, unification, Internet of Things integration, subsystems integration and user interface. The integrated subsystems involve intelligent systems for light control, television brightness control, desk light control, persons counting and air conditioner control. The IoH platform is then tested for a real building, and results and conclusions are obtained. Different intelligent methods and technologies are used, form the use of a diversity of sensors, actuators, and controllers and processing units to a set of artificial intelligence approaches varying from machine learning and optimization algorithms to the use of sensor fusion and computer vision. The use of IoH day-by-day demonstrated an intelligent performance for the real building occupants.

scholarly journals Optimal Placement of Social Digital Twins in Edge IoT Networks

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6181
Author(s):  
Olga Chukhno ◽  
Nadezhda Chukhno ◽  
Giuseppe Araniti ◽  
Claudia Campolo ◽  
Antonio Iera ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Social Relationships ◽  
Data Exchange ◽  
Service Discovery ◽  
Programming Model ◽  
Optimal Solution ◽  
Optimal Placement ◽  
Mixed Integer ◽  
Digital Twins ◽  
The Social

In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object’s capabilities and acting on its behalf when interacting with third parties. Moreover, such objects can be able to interact and autonomously establish social relationships according to the Social Internet of Things (SIoT) paradigm. In such a context, the goal of this work is to provide an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge, with the twofold aim of reducing the latency (i) between physical devices and corresponding DTs for efficient data exchange, and (ii) among DTs of friend devices to speed-up the service discovery and chaining procedures across the SIoT network. To this aim, we formulate the problem as a mixed-integer linear programming model taking into account limited computing resources in the edge cloud and social relationships among IoT devices.

scholarly journals A Comparative Analysis of Service Discovery Approaches for the Internet of Things

2017 ◽  
Vol 3 (1) ◽  
pp. 17 ◽  
Author(s):  
Meriem Aziez ◽  
Saber Benharzallah ◽  
Hammadi Bennoui
Keyword(s):  
Comparative Analysis ◽  
Internet Of Things ◽  
Service Discovery ◽  
The Internet ◽  
Service Description ◽  
Smart Healthcare ◽  
Healthcare It ◽  
Multiple Domains ◽  
The Internet Of Things ◽  
Significant Attention

Abstract—The Internet of Things (IOT) has gained a significant attention in the last years. It covers multiple domains and applications such as smart home, smart healthcare, IT transportation...etc. the highly dynamic nature of the IOT environment brings to the service discovery new challenges and requirements. As a result, discovering the desirable services has become very challenging. In this paper, we aim to address the IoT service discovery problem and investigate the existing solutions to tackle this problem in many aspects, therefore we present a full comparative analysis of the most representative (or outstanding) service discovery approaches in the literature over four perspectives: (1) the IoT service description model, (2) the mechanism of IoT service discovery, (3) the adopted architecture and (4) the context awareness.

scholarly journals Automated Service Discovery for Social Internet-of-Things Systems

2020 ◽  
Author(s):  
Abdullah Khanfor ◽  
Hakim Ghazzai ◽  
Ye Yang ◽  
Mohammad Rafiqul Haider ◽  
Yehia Massoud
Keyword(s):  
Internet Of Things ◽  
Service Discovery ◽  
Social Internet Of Things
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