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IRJET- Internet of Things for Industries and Enterprises
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1010 Internet of Things for Industries and Enterprises Mithilesh Padhen1 1Student, Dept. of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - The Internet of Things which is calledasInternet of Everything is a new technologyparadigmenrichedasglobal and local network of devices. The Internet of Things is recognized as one of the most important areas of future technology and gaining vast attendance from a wide range of industries. Today, in the age of technology and high- end machines, the internet of things (IoT) has bring a revolution by which a global network of high-tech machines and large devices are capable of interacting with each other bringing digital innovation in industries and enterprises. In the light of growing enterprises IoT and broad researchscope, this paper presents an IoT evolution, ecosystem, architecture, applications and challenges model for selection and installation of IoT services in enterprises and industries. Also, this paper illustrates about how the IoT services can be developed to innovate organization, industries and enterprises. Key Words: Internet of Things, IoT Ecosystem, IoT Architecture, IoT Applications, Enterprise, Platform, Business Model, Value Proposition 1. INTRODUCTION The Internet of things brought a paradigm shift that is radically changing ways of doing of business by enabling enterprise to develop value added efficient services with their network ofmachinesanddevices,improvetheirservice business models, and enhance their sustainability and optimization. By analyzingthedata generated bythedevices, enterprises can create a favorable brand image and engage in effective communication. The growth of the Internet of Things technology has been phenomenal in terms of sales volume and the number of enterprise and individual adopters and subscribers. The combined markets of the IoT will reach about $520 billion in 2021, more than double the spending in 2017. Enterprise IoT, also called corporate IoT, refers to all connecteddevices used for various business purposes in the enterprisesetting. Enterprise IoT is the largest of the three main IoT sectors - enterprise, home, and government. According to research most companies include enterprise IoT initiatives such as improving service operations, increasing visibility into operations, enabling new business models,andcreatingnew product and service offerings, getting feedbacks and implementing them. While large enterprises and industries have been the early explorer, researcher, adopters and beneficiaries of the IoT innovations and technologysystems, an increasing number of small and medium-sized enterprises and industries (SMEs)arealsoleveragingtheIoT services to better serve customers, improve productivity, extend a market base, and stay competitive. The need for effectivedevelopmentofIoTapplications under realistic conditions has generated various ecosystems of methodologies and integrated IoT platforms. Many technology and for-business companies are developing various IoT platforms to help enterprises rapidly develop and deploy IoT services for their business operations, improvement and revenue increase purpose. These developed platforms have become a key source for enterprises which have not employed technically capable engineers of the various fields of the IoT. IoT platforms provide basic functionalities and development tools for a variety of enterprise applications to be developed without expensive and time-consuming designing, developing and the programming efforts. A compound annual growth rate for IoT platforms is expected to be 39% between 2018 and 2023, with annual spending surpassing US$22 billion by 2023. Enterprise software and service companies and IoT start-ups account for the largest portion of IoT platform companies (22% and 32%, resp), followed by industrial technology providers (18%), Internet companies, and telecommunication firms. The main aim of enterprise and industrial IoT is to create value for business firms and customersthroughIoTservices. New IoT platforms are constantly emerging day by day and provide potential opportunities and challenges for enterprise and industrial IoT. For enterprises and organization, developing enterprise IoT services with various platforms provided by vendors are often preferred to in-house development. However, there is a lack of studies on the IoT ecosystem and IoT architecture pertaining to the development of enterprise IoT. For example, we still do not fully understand what the elements of the enterprise IoT ecosystem and architecture are and how they facilitate the development of specific enterprise IoT services. In light of the gap in research in the enterprise IoT sector, this paper presents an enterprise IoT ecosystem and architecture essential for deployment of successful IoT-enabled services. Then, this paper discusses how enterprises can plan IoT services with the use of the IoT service business model. 1.1 Objectives  To study predefined IoT evolution and ecosystem.  To learn about IoT architecture and various layers.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1011  To research about the IoT business model and revenue generation activities.  To present a holistic approach that will give brief idea about use of IoT applications to enhance value.  To describe challenges in current system of IoT development and present necessary remediesonit. 1.2 Problem Statement This Internet of Things for enterprisesand industriesshould provide a solution which will increase, enhance and give boost to IoT business service model increasingefficiencyand reliability of system. 2. METHODOLOGY 2.1 Evolution 2010-15 2015-20 Future and around 2020-25 Network System Sensor network location transparency Network Context Awareness Network cognition and Self learning, self- repairing networks Software and Algorithms system Large scale- open semantic software, Next Gen IoT based on social software Goal oriented software and distributed intelligence problem solving User Oriented software, Invisible IoT and Easy to deploy IoT Hardware Multiprotocol and more sensors Smart Sensors Nano-tech Data processing Energy, frequency spectrum aware data processing and generation Context aware data processing and response Cognitive processing and optimization Fig-1: Evolution over the years Figure 1 shows projected evolution in the area of foundational IoT technologies which are Network systems, software and algorithms systems, hardware, and data processing. The network is the backbone of the IoT. It refers to uniquely identifiable things and their virtual representations in an Internet-like structure. Network technology is moving to unobtrusive wire free communication technology that allows device to-device applications to be deployed more flexibly. Network technology is evolving towards autonomous and machine learning approach. 2.2 Ecosystem The Ecosystem for IoT industries and enterprises can be given as follows: Fig-2: Ecosystem of IoT for Enterprises Hardware Platform Developers- Board manufacturers, Controller developers, Gateway device manufacturers, Sensor and device manufacturers Software Platform Developers- Data platform developers, Security developers, Cloud Service providers, OS Platform developers User and Customer Developers- Corporate customers, Individual customers, Corporate users Network Technology Developers- Telecommunication Companies, Connectivity data developers, Network equipment manufacturers Solution and Application Developers- Data Analytics developers, Business Intelligence Analyst, Application developers, Software Analysers and System Integrators. 2.3 Architecture Service Management Layer/ Business Layer Application/ Solutions Layer Network Layer Processing Layer Perception Layer Fig-3: Layered Architecture
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1012 Architectural aspects of the IoT is an actively studied and researched area. A well-structured architecture of the IoT will help enterprises and industries create innovative and state of the art services. The enterprise IoT ecosystem discussed in the previous section provides the technology platforms neededfortheimplementationofthearchitecture of the IoT. While there is no agreed architecture of the IoT among researchers, they typically employ a multi-layered approach, with each layer dedicated to certain functions such as acquiring, communication/sensing,data processing, and knowledge processing/reasoning and output generation. For successful IoT service development, IoT architecture needs to be established and updated continuously to commission and decommissionvariousIoT assets and services. With the advances in the IoT, researchers proposed five-layer architectures. The five- layer architecture adds a processing layer and a business layer or service management layer on top of the three-layer architecture. The above mentioned five-layer architecture presents common layers for many domain areas. However, the five- layer architecture does not reflect the nature of the enterprise or industrial IoT environment. The five-layer architecture of the enterprise IoT represents an abstract architectural view for a myriad of the enterprise IoT systems. The architecture of the enterprise IoT consists of a perception layer, a network layer, a processing layer, an application layer, and a service management layer or business layer. The architecture of enterprise IoT enhances the usability of the architecture for enterprises and industries and ensures that a variety of enterprise applications seamlessly connect a myriad of enterprise IoT devices and can be accessible to users, customers, consumers and subscribers. 2.4 IoT Business Service Model 1) Value Proposition Value proposition refers to a substantial value of a products or services to a target customer for which thecustomers and consumers are willing to pay. The value proposition of the IoT services needs to be compelling to users and customers, achieve cost savings, and contribute to revenue generation. To find the value proposition is the most important component of the IoT business model and identify the following as important types of value proposition such as convenience or usability, getting the job done, performance, possibility for updates, and comfort. 2) Networked Activities A network refers to a network of platform developers, partners, device suppliers, and other enterprises that adds value to the holistic development of the IoT services. To identify software developers, launching customers, data scientists, machine learning engineers, and hardware producers as important participants inthe network.Value is co-created by the activities of the participants in the network. Therefore, participants in the value network should be concerned about improvement of any networked activities. The significance and weight of network participants are measured based on the magnitude of their value addition to the IoT service development. 3) Resources This component allows enterprises and industries to assess sustainable and developmental resources and to examine these resources in terms of the opportunities andthreats for establishing a competitive advantage from the IoT service development. From a resource-based view, everyenterprise or industries has a unique set of resources that the firm can leverage to exploit opportunities and counter threats. Two important questions for enterprise or industry to develop the IoT service are: (A) Kinds of existing resources theenterprisecanleverageto deliver the IoT services (B) Resources it needs to differentiate itself from the competitors. The key resources of enterprises and industries include the employees, technologies, products, services, facilities, equipment, marketing channels, and brand. 4) Sustainability To meet the stakeholders and investors needs in the future, sustainability is concerned with managing triple bottom lines, frequently referred to as profit, people, and planet. Sustainability is becoming an integral part of business models in a drive to achieve long-term corporate growth and profitability and to fulfil environmental and social responsibilities at the same time. Therefore, the development of IoT services should take into consideration the impacts on people, planet, and profit. For example, to balance people, planet, and profit, sustainable enterprises need to consider the impact of manufacturing IoT services on environments to achieve less waste production, a less polluted environment, and socially responsible business practices.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1013 2.5 IoT Applications to Enhance Value 1) Monitoring and Control Monitoring and control systems collects data on equipment performance,energyusage,andenvironmental conditions, and allows managers and automated controllers to constantly track performance in real time anywhere, anytime. Next level of monitoring and control technologies gives idea of potential improvement, or predict future outcomes and optimize operations, leading to lower costs and higher productivity and efficiency. 2) Business Analytics IoT devices and machines with embedded sensors and actuatorsgenerateenormousamountsofdata andtransmitit to business intelligenceanalyticstoolsforhumanstomake the decisions. These data are used to discover and resolve business issues such as changes in customer behaviorand market analysis to increase customer satisfaction and to provide value added services to customers. Business analytics tools may be added into IoT devices such as wearable health monitoring sensors so that real-time decision-making take place at source of data. 3) Information Analysis, Sharing and Collaborations Information sharing and collaborationintheIoTcanoccur between people and things, andbetweenthings.Sensingis a predefined event which is usually first step for information sharing and collaborations. In domain of supply chain area, information sharing and collaboration enhance situational awareness and avoid information delay and distortion. For example, if sensors are placed throughout a retail store where refrigeration isnecessary, alerts can be sent to the store manager’s mobile device whenever the refrigerator malfunctions.Themanagercan then check the employee status report to see who is available and send task assignment to that employee via his IoT enabled mobile device. 2.6 Challenges in IoT Development for Enterprises 1) Data Management Challenge IoT sensors and devices are generating massive amounts of data that need to be processed and stored. The current architecture of the data center is not prepared to deal with the heterogenous nature and extreme sheer value of personal and enterprise and industrial data.Fewenterprises and industries would be able to invest in data storage sufficient to house all the IoT data collected from their networks. Hence, data centers will become moredistributed to improve processing efficiency and response time as IoT devices become more widely used. 2) Data Mining Challenge As more data are available for processing and analyzing, the use of data mining tools becomes a necessity. Data consists not only discrete data but also streaming data generated from digital sensors in industrial equipment, automobiles, electrical meters. These streaming data are about the location, movement, vibration, temperature, humidity and chemical changes in the air. These data mining tools can invoke the corrective processes to address immediate operational issues or inform managers of discoveries regarding competitors’ strategic moves and customers’ preference change that will impact business activities. 3) Privacy Challenge Smart health equipment and smart careemergencyservices, IoT devices can provide a vast amount of data on IoT users’ location and movements, health conditions and purchasing preferences all of which can spark significant privacy concerns. Protecting privacy is often counter productive to service providers in this scenario as data generated byIoT is key to improving the quality of people’s lives. 4) Security Challenge As a growing number and variety of connected devices are introduced into IoT networks, the potential security threat escalates. Although the IoT improves the productivity of enterprises and industries the quality of people’s lives, the IoT will increase the potential attack surfaces for cyber criminals. Security challenges may be resolved by training developers to incorporatesecuritysolutionsintoproductsto utilize IoT features that are built into devices. 5) Chaos Challenge The evolution of IoT technologies is in hyper accelerated innovation cycle that is much faster than the typical consumer product innovationcycle.Ifnotdesignedcarefully, multi-purpose devices and collaborating applications can turn our lives into the chaos. To prevent chaos in the hyper connected IoT world businesses make every effecttoreduce the complexity in connected systems, enhance security and the standardization of applications and guarantee the safety and privacy of users anytime and anywhere. CONCLUSIONS The internet of things IoT is such a recent development, there is still a paucity of studies on the social, behavioral, economic, and managerial aspects of the IoT. This makes it very challenging for companies to make informed decisions as regards to IoT adaption or implementation. This research paper discusses IoT evolution, IoT ecosystem and IoT architecture. This research article is one of the first studies on a conceptual model of IoT applications for enterprises or industries. In this article, I presented IoT business service model and also classifiedvariousIoTapplicationsto enhance
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1014 value such as monitoring and control, businessanalyticsand information analysis, sharing and collaborations. Finally, I discussed five challenges in the implementing in IoT applications for enterprises and industries. FUTURE SCOPE The future scope includes research on IoT system for enterprises and industries for better efficiency and stable IoT system and also this will give boost to next generation high technology enabled production, designing and the modelling of IoT systems will take the IoT systems for enterprises and industries to a next level making the life of mankind very advanced and smart. REFERENCES 1) In Lee, “The internet of things for enterprises: An ecosystem, architecture and IoT service business model” Elsevier 25 June 2019 2) I. Lee, K. Lee, The Internet of Things (IoT): applications, investments and challenges for enterprises, Bus. Horiz. 58 (4) (2015) 431–440. 3) Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(1), 52787— 52805. 4) M. Iansiti, K.R. Lakhani, Digital ubiquity:howconnections, sensors, and data are revolutionizing business, Harv. Bus. Rev. 92 (11) (2014) 91–99. 5) M.E. Porter, J.E. Heppelmann, How smart, connected products are transforming competition, Harv. Bus. Rev. 92 (11) (2014) 64–88. 6) A. Bosche, D. Crawford, D. Jackson, M. Schallehn, C. Schorling Unlocking opportunities in the Internet of Things, (2018) Available from https://www. bain.com/insights/unlocking- opportunities- in- the- internet- of- things/ 7) J. Greenough: The corporate ’Internet of Things’ will encompass more devices than the smartphone and tablet markets combined, (2015) Available from https://www.businessinsider.com/the-enterprise-internet- of- things- market- 2014- 12 8) M. Chui, V. Ganesan, M. Patel Taking the pulse of enterprise IoT, (2017) Available from https://www.mckinsey.com/featured-insights/internet-of- things/our-insights/taking-the-pulse-of-enterprise-iot 9) D. Shin, An exploratory study of innovation strategies of the internet of things SMEs in South Korea, Asia Pac.J.Innov. Entrep. 11 (2) (2017) 171–189. 10) F. Terroso-Saenz, A. González-Vidal, A.P. Ramallo- González, A.F. Skarmeta, An open IoT platform for the management and analysis of energy data, Future Gener. Comput. Syst. 92 (2019) 1066–1079 .
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