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2017 | Buch

Crowd-Powered Mobile Computing and Smart Things

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Über dieses Buch

This SpringerBrief provides a synergistic overview of technology trends by emphasizing five linked perspectives: crowd+cloud machines, extreme cooperation with smart things, scalable context-awareness, drone services for mobile crowds and social links in mobile crowds. The authors also highlight issues and challenges at the intersection of these trends.
Topics covered include cloud computing, Internet of Things, mobile and wearable computing, crowd computing, the culture of thing sharing, collective computing, and swarm dynamics. The brief is a useful resource and a starting point for researchers, students or anyone interested in the contemporary computing landscape.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Ubiquitous Connections: The Internet of People and Things
Abstract
This chapter introduces a range of technology trends, including Cloud Computing, Internet of Things, Device Mesh, Big Data, Wearable Computing, Crowd Computing, Crowdsourcing, Culture of Sharing, Collective Computing, and Swarm Dynamics, and gives an outline of the book. Five perspectives are introduced, namely, crowd+cloud machines, extreme cooperation, scalable context-awareness, drone services, and social links in mobile crowds.
Seng W. Loke
Chapter 2. Crowd+Cloud Machines
Abstract
This chapter reviews several examples of how (machine and human) resources of a (mobile) crowd of people with separately owned devices can be pooled together and combined with a cloud computing mediating platform to form a type of crowd-powered system, or what we roughly call a crowd+cloud machine, to emphasise this combination between the two.
Seng W. Loke
Chapter 3. Extreme Cooperation with Smart Things
Abstract
The development of energy efficient long and short range networking technologies among mobile devices is enabling the device mesh mentioned in Chap. 1, between all types of mobile devices, including smart vehicles and smart drones, e.g., vehicle-to-vehicle, vehicle-to-pedestrian, pedestrian-to-pedestrian, vehicle-to-bicycle, bicycle-to-bicycle, drone-to-vehicle, drone-to-drone, drone-to-pedestrian, and so on. Over such a networked mesh of devices can be a range of different cooperation protocols, specific to particular applications, from vehicles talking to each other to improve safety and situation-awareness, to vehicles talking about the route to take in order to avoid congestion.
Seng W. Loke
Chapter 4. Scalable Context-Awareness
Abstract
Since the pioneering work on context-aware computing by Schilit et al. [12] over two decades ago, there have been tremendous developments in context-aware mobile computing [1, 7], a mobile device is made aware of the current context of the user, including the circumstances or the surroundings as well as the user’s activity on the phone, or the phone’s current state (e.g., battery level, device properties and so on), and can take action based on such context information. Mobile sensing [4, 13] on the device is used to obtain information about the user, including the user’s location, objects nearby (e.g., via WiFi or Bluetooth scanning) as well as the current physical activity of the user (e.g., walking, on a bus, etc), i.e. the work on mobile activity recognition (e.g., [14]), and the current user interaction with the apps on the phone (e.g., what the user is looking at). A large range of data analysis techniques has been employed to process sensor data in order to learn to recognise activities—recently, Deep Convolutional Neural Networks have been employed achieving accuracy in recognition of up to 97–99% [5].
Seng W. Loke
Chapter 5. Drone Services for Mobile Crowds
Abstract
There have been tremendous recent developments in drone (unmanned aerial vehicles, or UAVs) technology [3] in terms of control and automatic flight of drones, so that while regulations and drone protection measures (protecting drones and protecting people from drones) are being investigated, practical applications are being developed, from product delivery, disaster assessment and recovery, art and exergaming [7] to self-driving cars guided by drones.
Seng W. Loke
Chapter 6. Social Links for Crowds and Things
Abstract
This chapter considers social links formed within crowds of people, often captured digitally in social media networks, including the notions of ‘following’, ‘being followed’, ‘friends’, and ‘connections’. The kind of links within crowds are diverse. This chapter examines three ideas, the notion of favour networks within crowds, automatic social networking, and social networks for things.
Seng W. Loke
Chapter 7. Conclusion and Future Work
Abstract
Against the backdrop of technology trends such as cloud computing, IoT, mobile and wearable computing, crowd computing, a culture of sharing, collective computing, and swarm dynamics, this book has attempted to focus on five ideas, namely, crowd+cloud machines, extreme cooperation with smart things, scalable context-awareness, drone services for mobile crowds and social links in (mobile) crowds. We have not been exhaustive in our exploration of these areas, but we have sought to draw on current literature as well as the author’s own work, to highlight ideas not yet adequately explored and to identify synergies, links, issues and challenges.
Seng W. Loke
Metadaten
Titel
Crowd-Powered Mobile Computing and Smart Things
verfasst von
Seng W. Loke
Copyright-Jahr
2017
Electronic ISBN
978-3-319-54436-6
Print ISBN
978-3-319-54435-9
DOI
https://doi.org/10.1007/978-3-319-54436-6