Towards Mapping Experience Design for the Internet of Things.

We are witnessing a fundamental transformation in how Internet of Things (IoT) is having an impact on the experience users have with data-driven devices, smart appliances, and connected products. The experience of any place is commonly defined as the result of a series of user engagements with a surrounding place in order to carry out daily activities (Golledge, 2002). Knowing about users? experiences becomes vital to the process of designing a map. In the near future, a user will be able to interact directly with any IoT device placed in his surrounding place and very little is known on what kinds of interactions and experiences a map might offer (Roth, 2015). The main challenge is to develop an experience design process to devise maps capable of supporting different user experience dimensions such as cognitive, sensory-physical, affective, and social (Tussyadiah and Zach, 2012). For example, in a smart city of the future, the IoT devices allowing a multimodal interaction with a map could help tourists in the assimilation of their knowledge about points of interest (cognitive experience), their association of sounds and smells to these places (sensory-physical experience), their emotional connection to them (affective experience) and their relationships with other nearby tourists (social experience). This paper aims to describe a conceptual framework for developing a Mapping Experience Design (MXD) process for building maps for smart connected places of the future. Our MXD process is focussed on the cognitive dimension of an experience in which a person perceives a place as a "living entity" that uses and feeds through his experiences. We want to help people to undergo a meaningful experience of a place through mapping what is being communicated during their interactions with the IoT devices situated in this place. Our purpose is to understand how maps can support a person?s experience in making better decisions in real-time

The Cloud-to-Thing Continuum

The Internet of Things offers massive societal and economic opportunities while at the same time significant challenges, not least the delivery and management of the technical infrastructure underpinning it, the deluge of data generated from it, ensuring privacy and security, and capturing value from it. This Open Access Pivot explores these challenges, presenting the state of the art and future directions for research but also frameworks for making sense of this complex area. This book provides a variety of perspectives on how technology innovations such as fog, edge and dew computing, 5G networks, and distributed intelligence are making us rethink conventional cloud computing to support the Internet of Things. Much of this book focuses on technical aspects of the Internet of Things, however, clear methodologies for mapping the business value of the Internet of Things are still missing. We provide a value mapping framework for the Internet of Things to address this gap. While there is much hype about the Internet of Things, we have yet to reach the tipping point. As such, this book provides a timely entrée for higher education educators, researchers and students, industry and policy makers on the technologies that promise to reshape how society interacts and operates

Security In The Internet Of Things - A Systematic Mapping Study

The Internet of Things (IoT) concept is emerging and evolving rapidly. Various technical solutions for multiple purposes have been proposed for its implementation. The rapid evolution and utilization of IoT technologies has raised security concerns and created a feeling of uncertainty among IoT adopters. The purpose of this paper is to examine the current research trends related to security concerns of the IoT concept and provide a detailed understanding of the topic. We thus applied systematic mapping study as the methodological approach. Based on the chosen search strategy, 38 articles (of close to 3500 articles in the field) were selected for a closer examination. Out of these articles, the concerns, solutions and research gaps for the security in the IoT concept were extracted. The mapping study identifies nine main concerns and 11 solutions. However, the findings also reveal challenges, such as secure privacy management and cloud integration that still require efficient solutions

Mapping cyberspace: visualising, analysing and exploring virtual worlds

In the past years, with the development of computer networks such as the Internet and world wide web (WWW), cyberspace has been increasingly studied by researchers in various disciplines such as computer sciences, sociology, geography, and cartography as well. Cyberspace is mainly rooted in two computer technologies: network and virtual reality. Cybermaps, as special maps for cyberspace, have been used as a tool for understanding various aspects of cyberspace. As recognised, cyberspace as a virtual space can be distinguished from the earth we live on in many ways. Because of these distinctions, mapping it implies a big challenge for cartographers with their long tradition of mapping things in clear ways. This paper, by comparing it to traditional maps, addresses various cybermap issues such as visualising, analysing and exploring cyberspace from different aspects

Relationship between IoT Service User Quality and Network QoS Factors

The Internet of Things (IoT) is a complete network of networked computer devices, digital and mechanical equipment, and the capacity to send data over the Internet based on machine to machine interaction. It is also known as the Internet of Everything (IoE). The Internet is a packet-switched network, which means that the Quality of Service (QoS) elements (such as packet loss, latency, jitter, and so on) have an influence on the Quality of Experience (QoE) for the Internet of Things services. This research used a subjective evaluation method in order to evaluate the relationship between the quality of service (QoS) measures such as packet loss, latency, and jitter and the quality of experience (QoE) for Internet of Things services. In addition to that, a mapping model from quality of service to quality of experience was suggested. According to the results of this research, there is a close connection between the subjective opinion score and the quality of service (QoS) variables such as packet loss, latency, and jitter. The results of this investigation open up possibilities for additional research into the quality of experience of Internet of Things services

Modular and generic IoT management on the cloud

Cloud computing and Internet of Things encompass various physical devices that generate and exchange data with services promoting the integration between the physical world and computer-based systems. This work presents a novel Future Internet cloud service for data collection from Internet of Things devices in an automatic, generalized and modular way. It includes a flexible API for managing devices, users and permissions by mapping data to users, publish and subscribe context data as well as storage capabilities and data processing in the form of NoSQL big data. The contributions of this work include the on the fly data collection from devices that is stored in cloud scalable databases, the vendor agnostic Internet of Things device connectivity (since it is designed to be flexible and to support device heterogeneity), and finally the modularity of the event based publish/subscribe service for context oriented data that could be easily utilized by third party services without worrying about how data are collected, stored and managed

A Systematic Mapping Study of Access Control in the Internet of Things

Internet of Things (IoT) provide wide range of services in both domestic and industrial environments. Access control plays a crucial role as to granting access rights to users and devices when an IoT device is connected to a network. Over the years, traditional access control models such as RBAC and ABAC have been extended to the IoT. Additionally, several other approaches have also been proposed for the IoT. This research performs a systematic mapping study of the research that has been conducted on the access control in the IoT. Based on the formulated search strategy, 1,617 articles were collected and screened for review. The systematic mapping study conducted in the paper answers three research questions regarding the access control in the IoT, i.e., what kind of access control related concerns have been raised in the IoT so far? what kind of solutions have been presented to improve access control in the IoT? what kind of research gaps have been identified in the access control research in the IoT? To the best of our knowledge, this is the first systematic mapping study performed on this topic

Trends in IoT Research: A Bibliometric and Science mapping Analysis of Internet of Things

Internet of Things (IoT) is about augmenting the existing power of the Internet beyond computers and smartphones to a whole range of other things, processes, and environments involving living or non-living species. It can bring life to the objects and enable them to communicate. This study presents the bibliometric analysis and science-mapping analysis on IoT. The data were extracted from the Web of Science (WoS) database from 1989–2019. In total 14,469 documents (articles, review, editorial material, proceedings, etc) were retrieved, which were further processed by VOSviewer software to perform advanced bibliometric analysis and science-mapping analysis. This research identifies the most productive or leading authors, countries, journals, institutions, keywords and to know their co-authorship pattern, co-citation pattern, bibliographic coupling pattern, the co-occurrence of keywords pattern in the research area of IoT. Results showed that Joel J.P.C Rodrigues was the most productive author, the People’s Republic of China was the most productive country, the Journal of EEE Access was the leading journal, Luigi Atzori was the most cited author. The main keywords more frequently occurred were Internet of things, and Internet, and Security. The analysis showed a collaboration relation between authors, countries and institutions. The visualizations conducted on this topic offer exploratory information on current status and trends on the scientific literature of IoT and provides insights for established and novice researchers in the understanding of this research topic