Service Discovery and Selection in Internet of Things - A Review

2020 ◽  
Vol 14 (1) ◽  
pp. 4-11
Author(s):  
Neeti Kashyap ◽  
Achanta C. Kumari ◽  
Rita Chhikara

The Internet of Things (IoT) is a novel technology that has opened doors to the new level of interaction between the things. This has resulted in an enhancement in the quality of life and optimized use of various resources. IoT uses various technologies related to networking, sensing, databases and artificial intelligence to enhance the lifestyle and makes business processes simpler. In the IoT based systems, the number of devices contributing to a particular application is very large, spreading to a large geographical area at various locations. The device can be considered as a resource used by a service in the application layer. IoT service is the most important entity. The real-world things generate data by perceiving the environment in large quantity and store it in the distributed databases or cloud databases. This manuscript analytically and statistically categorizes and analyze the current research techniques on the service discovery and selection in the IoT, published between 2010 and 2018. It finds that the discovery among a huge number of services requires fast, scalable and dynamic service discovery mechanism over the Internet. Once the services are discovered, the next step is to select the most appropriate service. This paper includes a comprehensive analysis of the discovery and selection of services in IoT. A patent related to service and discovery have been also discussed which would be beneficial in identifying the research gap to make the system more efficient.

Author(s):  
G. Naveen Kumar

Pollution detection and ordinary tracking is extraordinarily good-sized errand in this point in time of in our present international. To make a higher and greater steady circumstance for individual, creatures, and plants. We ought to display screen and manage the infection via the Internet of factors innovation. This research proposes air infection and checking version which distinguishes infection in air primarily based totally on statistics mining calculation. The sensor System is used to apprehend the sensor regards from one of a kind fueloline sensors. The microcontroller is applied to trade the features from ADC to server. Information mining is applied to compute the pollution from numerous regions. ID3 set of rules is used to figuring the bottom of the traits on probability. Bluetooth module is applied to interface the controller with the purchaser and the purchaser related to the server via internet administrations. Remote sensors are applied to envision the extent of risky gases gives major all-round that, at last, offers a lower in infection. This framework now no longer simply computes the poisons gift major all-round yet, in addition, we are able to parent to preserve a strategic distance from destiny infection in and might ship the notification message to the particular dirtied location. Here we recall essentially the concoction Industry near Delhi and the metro city groups.These studies paper in particular centered at the evidence of pollutants tracking and locate on precise region or geographical area for an IOT bodily devices that collects statistics with admire to bodily parameters, making use of a complicated microcontroller stage, from one of a kind varieties of sensors, via various techniques of correspondence and after that transfers the statistics to the an internet. The displayed device has been supposed for far flung checking of weather numerous environments. These article facilities across the approach of moving received statistics at the internet with the intention that the device may be applied to remotely display screen weather parameters and in the end take a look at environmental extrade designs like temperature, humidity, Atmospheric Pressure. The paper additionally discusses the simple idea of Internet of Things and its capacity programs, specially for climate tracking.


Author(s):  
Meriem Aziez ◽  
Saber Benharzallah ◽  
Hammadi Bennoui

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.


Author(s):  
Bo Jiang ◽  
Junwu Chen ◽  
Ye Wang ◽  
Liping Zhao ◽  
Pengxiang Liu

In recent years, business process re-engineering has played an important role in the development of large-scale web-based applications. To re-engineer business processes, business services are developed and coordinated by reusing a set of open APIs and services on the internet. Yet, the number of services on the internet has grown drastically, making it difficult for them to be discovered to support the changing business goals. One major challenge is therefore to search for a suitable service that matches a specific business goal from a large number of available services in an efficient and effective manner. To address this challenge, this paper proposes a deep learning approach for massive service discovery. The approach, thus called MassRAFF, employs a combination of the recurrent attention and feature fusion methods. This paper first presents the MassRAFF approach and then reports on an experiment for evaluating this approach. The experimental results show that the MassRAFF approach has performed reasonably well and has potential to be improved further in future work.


Author(s):  
Kamalendu Pal

Adoption of the internet of things (IoT) and blockchain technology opens new opportunities of business process automation in apparel supply chain management. The IoT technology helps to capture real-time information from different aspects of garment manufacturing activities by using radio frequency identification (RFID) tags and sensors. Blockchain technology is an emerging concept of computing that enable the decentralized and immutable storage of business transactions. In combination with IoT, blockchain technology can enable a broad range of application scenarios to enhance business value and trust. This chapter presents some of the blockchain-based IoT technology applications in apparel business processes. Moreover, the chapter provides a classification of threat models, which are considered by blockchain protocols in IoT networks. Finally, the chapter provides a taxonomy and a side-by-side comparison of the state-of-the-art methods towards secure and privacy-preserving blockchain technologies concerning the blockchain model, specific security goals, performance, and limitations.


Author(s):  
Juan Boubeta-Puig ◽  
Guadalupe Ortiz ◽  
Inmaculada Medina-Bulo

The Internet of Things (IoT) provides a large amount of data, which can be shared or consumed by thousands of individuals and organizations around the world. These organizations can be connected using Service-Oriented Architectures (SOAs), which have emerged as an efficient solution for modular system implementation allowing easy communications among third-party applications; however, SOAs do not provide an efficient solution to consume IoT data for those systems requiring on-demand detection of significant or exceptional situations. In this regard, Complex Event Processing (CEP) technology continuously processes and correlates huge amounts of events to detect and respond to changing business processes. In this chapter, the authors propose the use of CEP to facilitate the demand-driven detection of relevant situations. This is achieved by aggregating simple events generated by an IoT platform in an event-driven SOA, which makes use of an enterprise service bus for the integration of IoT, CEP, and SOA. The authors illustrate this approach through the implementation of a case study. Results confirm that CEP provides a suitable solution for the case study problem statement.


2014 ◽  
Vol 543-547 ◽  
pp. 4190-4193
Author(s):  
Hui Tan

The Internet of Things system of enterprise is formed by RFID recognition system, middleware system and Internet system. The development of Internet of Things make the structure of logistics service horizontal and vertical flow changed; the Internet of Things technology application promote the logistics business system reconstruction, and also the business layer redesign condition; Aim at traditional logistics business processes, proposed warehousing, distribution, transport business process optimization and reengineering design based on Internet of Things technologies.


2020 ◽  
Author(s):  
Tanweer Alam

<p>Blockchain (BC) in the Internet of Things (IoT) is a novel technology that acts with decentralized, distributed, public and real-time ledger to store transactions among IoT nodes. A blockchain is a series of blocks, each block is linked to its previous blocks. Every block has the cryptographic hash code, previous block hash, and its data. The transactions in BC are the basic units that are used to transfer data between IoT nodes. The IoT nodes are different kind of physical but smart devices with embedded sensors, actuators, programs and able to communicate with other IoT nodes. The role of BC in IoT is to provide a procedure to process secured records of data through IoT nodes. BC is a secured technology that can be used publicly and openly. IoT requires this kind of technology to allow secure communication among IoT nodes in heterogeneous environment. The transactions in BC could be traced and explored through anyone who are authenticated to communicate within the IoT. The BC in IoT may help to improve the communication security. In this paper, I explored this approach, its opportunities and challenges. </p>


2021 ◽  
Vol 24 (1) ◽  
pp. 86-107
Author(s):  
Nayef Al-Nabet

Technological advancements have led to the creation of new paradigms like the Internet of Things (IoT). These technologies are moving the digital space into a period where they will power billions of devices leading to the transformations of products and services provided by businesses. Therefore, the main purpose of this study is to explore the benefits of deployment of the Internet of Things (IoT) in businesses using the case of the Qatari retail businesses. The study assumed an interpretivism research philosophical stance and an addictive approach to theory utilising the Technology, Organisation, Environment model to guide the research. The research data were gathered using a qualitative approach utilising semi-structured interviews as the method of data collection. Accordingly, the heads of information technology in the selected retail industry businesses in Qatar were interviewed to answer the main research questions. The findings uncovered that retailers in Qatar are using the IoT devices such as sensors, scanners, beacons, smart shelves, personalisation alerts, and FRIDs to enable their key business operations and processes. Even though the Qatar retail businesses are not concerned about the specific IoT devices utilised, the benefits of their deployment established from the study include automation of business processes (Technological benefits), efficiency and personalisation of customer requirements (Organisational benefits), and increased collaboration and supply chain optimisation within the entire Qatar retail industry (Environmental benefits). As such, the results of the study agree with the TOE model that technology, organisation, and environment are the driving forces behind technology adoption and utilisation. Finally, among practical implications, a collaboration between software developers and the retail industry project professionals will ensure that the IoT artefacts are designed with security mechanisms, thus enhancing the security and safety of the information gathered from the IoT devices. Further, the study offers guidance on the theoretical elements that contribute to the benefits of utilising the IoT in Qatar retail businesses.


2014 ◽  
Vol 10 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Antonio J. Jara ◽  
Socrates Varakliotis ◽  
Antonio F. Skarmeta ◽  
Peter Kirstein

Emerging Internet of Things (IoT)/Machine-to-Machine (M2M) systems require a transparent access to information and services through a seamless integration into the Future Internet. This integration exploits infrastructure and services found on the Internet by the IoT. On the one hand, the so-called Web of Things aims for direct Web connectivity by pushing its technology down to devices and smart things. On the other hand, the current and Future Internet offer stable, scalable, extensive, and tested protocols for node and service discovery, mobility, security, and auto-configuration, which are also required for the IoT. In order to integrate the IoT into the Internet, this work adapts, extends, and bridges using IPv6 the existing IoT building blocks (such as solutions from IEEE 802.15.4, BT-LE, RFID) while maintaining backwards compatibility with legacy networked embedded systems from building and industrial automation. Specifically, this work presents an extended Internet stack with a set of adaptation layers from non-IP towards the IPv6-based network layer in order to enable homogeneous access for applications and services.


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