Exploitation of social IoT for recommendation services

Saleem, Yasir; Crespi, Noël; Rehmani, Mubashir Husain; Copeland, Rebecca; Hussein, Dina; Bertin, Emmanuel

doi:10.1109/wf-iot.2016.7845500

Cited by 67 publications

(44 citation statements)

References 14 publications

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“…To this end, the key aim of Internet of Things (IoT) is to connect different types of cyber-physical Systems (CPSs) via the Internet of Services for generating and sharing information with each other and with humans to cooperate closely. 5 This enables real-time data collection and sharing of industry systems on the cyber layers to carry out monitoring and control logic intelligently from anywhere worldwide. The efficient and effective use of this information and knowledge changes the relationship among suppliers, consumers, and stakeholders in the industry.…”

Section: Introductionmentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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Recently, the advences of Industry 4.0 have paved the way for a systematical deployment of the smart grid (SG) to manage continuously growing energy demand of the 21st century. This even allows the fourth stage of the industrial revolution in the power sector, which is known as the smart grid industry (SGI) 4.0. In SGI 4.0, the industrial wireless sensor networks (WSNs) and the Internet of Things are envisioned as key promising communication technologies for monitoring various SG applications due to their large-scale coverage, fault tolerance characteristics, and cost reduction. However, highly dynamic nature of the SG environments brings several unique challenges caused by systems and operating devices. This results in hampering the quality-of-service communication requirements for WSNs-based SG applications. In SGI 4.0, the routing infrastructure not only requires a reliable but also fulfills the communication requirements of diverse SG applications. Thus, a sophisticated, reliable and QoS-aware multi-hop communications network architecture enabling a real-time exchange of data for various WSNs-based SG applications is essential in SGI 4.0. Hence, this paper proposes a novel bio-inspired self-optimized butterfly mating optimization-based data gathering routing scheme called Self-optimized Intelligent routing protocol (SIRP) for WSNs-based SG applications. The extensive simulations reveal that the proposed scheme achieves its defined goals compared to existing routing schemes designed for WSNs-based applications.Trans Emerging Tel Tech. 2019;30:e3503.wileyonlinelibrary.com/journal/ett streamline management operations are connected using wired networks working over industrial protocols in traditional factories. However, compared with a wired network, the wireless networking solution plays a complementary role to empower control and management competencies of the factory elements in I 4.0. To this end, industrial wireless sensor networks (IWSNs) are envisioned as a valuable technology to realize the vision of I 4.0 because of their low-cost sensing, identifying, processing, and networking capabilities. The IWSNs provide physical industry world information to a user located in a remote location to realize distinct objectives. 10,11 The fundamental characteristics of IWSN-based networking solution in I 4.0 is to provide least maintenance cost by avoiding excessive breakdowns in a defined time interval for enabling smart production reliability and increasing economic benefits. Therefore, IWSN, with these aims, has revealed its prominence in various industrial applications, including modern agriculture, transportation, steel mills, healthcare systems, area surveillance, gas and oil industry, and many others. 12,13 The quality-of-service (QoS)-aware cooperative multihop communication in IoT-enabled smart grid (SG) is highly dependent on a number of performance metrics like coverage, scalability, stability, latency, lifetime, and complexity of the network. In IoT-enabled SG, IWSNs through IoT connect various industrial ...

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Section: Introductionmentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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“…Software frameworks are designed to provide some additional layers of abstraction suitable for specific types of applications [26]. In the IoT environment, there is a limited research work exploiting and integrating IoT and recommendation systems to provide relevant services in this newly emerging ubiquitous environment [4,14,23,27]. Generally, in the design and development of frameworks for CARSs, diverse contextual information has been used, for example, location, time, weather information, environment conditions such as temperature, illumination, and noise level, device characteristics, and network conditions.…”

Section: Context-awarementioning

confidence: 99%

“…In [27], Saleem et al proposed a concept for exploiting the SIoT for service recommendations among various IoT applications. e authors highlight how the SIoT can be used to provide recommendations by presenting an interesting sample application scenario.…”

Section: Context-awarementioning

confidence: 99%

A Framework for Exploiting Internet of Things for Context-Aware Trust-Based Personalized Services

Otebolaku

Lee

2018

Mobile Information Systems

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In the last years, we have witnessed the introduction of the Internet of ings (IoT) as an integral part of the Internet with billions of interconnected and addressable everyday objects. On one hand, these objects generate a massive volume of data that can be exploited to gain useful insights into our day-to-day needs. On the other hand, context-aware recommender systems (CARSs) are intelligent systems that assist users to make service consumption choices that satisfy their preferences based on their contextual situations. However, one of the key challenges facing the development and deployment of CARSs is the lack of functionality for providing dynamic and reliable context information required by the recommendation decision process. us, data obtained from IoT objects and other sources can be exploited to build CARSs that satisfy users' preferences, improve quality of experience, and boost recommendation accuracy. is article describes various components of a conceptual IoT-based framework for contextaware personalized recommendations. e framework addresses the weakness whereby CARSs rely on static and limited contexts from user's mobile phone by providing additional components for reliable and dynamic context information, using IoT context sources. e core of the framework consists of a context classification and reasoning management and a dynamic user profile model, incorporating trust to improve the accuracy of context-aware personalized recommendations. Experimental evaluations show that incorporating context and trust into personalized recommendation process can improve accuracy.

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“…The huge and rapid increase of intermittent renewable power generators connected to the grid has led transmission service operators to install at power plants, distribution centers, and “prosumer” (i.e., a consumer who is also a producer) premises various information and communication technology devices for the monitoring, analysis, and control of the grid so as to solve the reliability problems posed by bidirectional energy flows …”

Section: Introductionmentioning

confidence: 99%

“…The connectivity, automation, and tracking of such sensors, actuators, and smart meters, furthermore, generate a large amount of data suitable for “big data” analysis and processing …”

Section: Introductionmentioning

confidence: 99%

Digital Management of Solar Energy En Route to Energy Self‐Sufficiency

Pagliaro

Meneguzzo

2019

Global Challenges

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The Internet of Things approach to manage clean electricity produced from sun, wind, and water is, alongside the hydrogen fuel cell and the Li‐ion battery, the key enabling technology for the transition to 100% renewable energy. Practical examples from distant countries are used to show how today's digital control technology is actually used to ease the generation and utilization of clean, reliable, and cheap solar energy on an annual basis. The conclusions are of relevance also to the redesign of energy education programs in response to dramatic changes in energy technologies.

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Exploitation of social IoT for recommendation services

Cited by 67 publications

References 14 publications

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

A Framework for Exploiting Internet of Things for Context-Aware Trust-Based Personalized Services

Digital Management of Solar Energy En Route to Energy Self‐Sufficiency

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