5G

Author(s):  
Ravi Sekhar Yarrabothu

Cellular communications has evolved from 1G to 4G to cater for the various service offerings of voice communication, data exchange and web browsing. The coming generation, 5G, is aiming at the wider concept of the Internet of things (IoT). A broad consensus by industry and standards organizations is to introduce 5G around 2020 time frame. This chapter will overview 5G as a necessary platform for the success of the IoT. It provides an overview of 1G to 4G evolution and the demand issues behind 5G while discussing deficiencies of 4G LTE which prohibits it from rising up to the challenges presented in IoT. On the path to 5G, the chapter outlines the 5G Vision, its requirements, use cases, business models and value creation. Discussions of some of the 5G challenges are included in the chapter; its coexistence with current technologies, its strict latency and high spectrum requirements, and the performance and variability of the QoS requirements of 5G applications. Finally, an outline of 5G research activities and initiatives across the globe is provided.

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.


2014 ◽  
Vol 4 (7) ◽  
pp. 5-14 ◽  
Author(s):  
Mika Westerlund ◽  
Seppo Leminen ◽  
Mervi Rajahonka

2017 ◽  
Vol 9 (1) ◽  
pp. 57-75 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund

This study investigates actors in the ecosystems of the Internet of Things (IoT). Previous research suggests that unstructured ecosystems make one of the greatest challenges for creating business models for the IoT. The present study concludes four contributions. First, the study reviews literature to develop a framework for role mechanisms in ecosystems and applies the framework to analyse data from fifteen interviews in six cases. Second, it identifies four diverse actor roles in IoT ecosystems: butterfly, ant and greenfly, spider, and the swarm of bees. Third, the study shows how actors take and make different roles in four emerging IoT ecosystems; product-, company-, industry-, and peer to peer ecosystems, which are structured in accordance with the identified actors' role behavior. Fourth, it suggests a new role pattern, role replication, where companies replicate their value designs and networks to other contexts.


Author(s):  
Holger Kett

In all major industrialized countries, the service sector is the largest economic segment maintaining the highest growth rate. A current trend in the Internet of Services is to develop and offer software as a service (SaaS). Some research activities, such as Theseus/TEXO focus on the design and development of Web-based service ecosystems based on Web-platforms which allow offering, trading, and executing of services over the Internet. This paper is based on the Integrated Service Engineering (ISE) methodology, an interdisciplinary methodology for developing electronic services. The focus of this work is laid on the development of business models from a strategic-/market-oriented perspective, prior to consider the service business processes and the underlying IT-oriented service concept. The role of the business strategist and its objectives is introduced. The methodology has been developed in the Theseus/TEXO project which is funded by the German Federal Ministry of Economy and Technology.


Author(s):  
Matt Zwolenski ◽  
Lee Weatherill

The Digital Universe, which consists of all the data created by PC, Sensor Networks, GPS/WiFi Location, Web Metadata, Web-Sourced Biographical Data, Mobile, Smart-Connected Devices and Next-Generation Applications (to name but a few) is altering the way we consume and measure IT and disrupting proven business models. Unprecedented and exponential data growth is presenting businesses with new and unique opportunities and challenges. As the ‘Internet of Things’ (IoT) and Third Platform continue to grow, the analysis of structured and unstructured data will drive insights that change the way businesses operate, create distinctive value, and deliver services and applications to the consumer and to each other. As enterprises and IT grapple to take advantage of these trends in order to gain share and drive revenue, they must be mindful of the Information Security and Data Protection pitfalls that lay in wait ─ hurdles that have already tripped up market leaders and minnows alike.


Author(s):  
Yuliia Pyrih ◽  
Mykola Kaidan ◽  
Olena Hordiichuk-Bublivska

The paper considers the concept of "Internet of Things", which is increasingly penetrating into various spheres of human life and contributes to a significant qualitative change in economic, operational and technological processes. The stages of functioning of the Internet of Things and the levels of its architecture are considered. Based on an analysis of a number of literature sources, the IoT has the greatest impact on six industries such as electricity and housing, health, agriculture and livestock, freight transportation and storage, smart city and construction, and manufacturing. A description of the main types of services for each of these industries and the role of the Internet of Things for its development. It is determined that the application of IoT solutions: in energy - allows to reduce the cost of infrastructure operation, prevent serious accidents and increase the efficiency of asset use; in healthcare - provides real-time streaming of data from devices that monitor the human condition, which allows for accurate diagnosis, increase the accuracy of results and optimize the provision of medical care; in agriculture and livestock - allows to significantly increase the efficiency of cultivation and reduce losses of agricultural products by raising awareness in decision-making and the ability to respond quickly to changes in weather, prices, market situation, etc .; for transportation and storage of goods - allows to provide smooth movement of operations and reduction of underutilization of resources for profit maximization; for "smart city" and construction - allows you to fundamentally improve the city's economy, improve living standards and public safety through more efficient management of housing and communal services, transport and services for the population; for industrial production - allows you to optimize production processes, modify business models, as well as increase productivity and efficiency, while reducing costs. The scheme of intelligent transport system for the city of Kyiv is presented.


Author(s):  
A. Shabana ◽  
Dr. V. Divya

In the recent years one of the major computing model in the Internet World is is Cloud Computing. It is giving birth to new business models and accelerating itself to technology adoption. It acts as a foundation for emerging technologies like the Internet Of Things (IOT). Cloud is used as a storage location. So, we can able to access the data stored in the cloud anytime and anywhere. This paper is about the Survey Report on IEEE Cloud Computing paper published by the author in the appropriate years and I have also reviewed about the Existing Algorithms /Techniques and its drawbacks, Methodologies used and Advantages of Proposed Algorithm which we can improve in future.


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