Open AccessPosted Content
Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions
TL;DR: This paper presents a Cloud centric vision for worldwide implementation of Internet of Things, and expands on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
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Abstract: Ubiquitous sensing enabled by Wireless Sensor Network (WSN) technologies cuts across many areas of modern day living. This offers the ability to measure, infer and understand environmental indicators, from delicate ecologies and natural resources to urban environments. The proliferation of these devices in a communicating-actuating network creates the Internet of Things (IoT), wherein, sensors and actuators blend seamlessly with the environment around us, and the information is shared across platforms in order to develop a common operating picture (COP). Fuelled by the recent adaptation of a variety of enabling device technologies such as RFID tags and readers, near field communication (NFC) devices and embedded sensor and actuator nodes, the IoT has stepped out of its infancy and is the the next revolutionary technology in transforming the Internet into a fully integrated Future Internet. As we move from www (static pages web) to web2 (social networking web) to web3 (ubiquitous computing web), the need for data-on-demand using sophisticated intuitive queries increases significantly. This paper presents a cloud centric vision for worldwide implementation of Internet of Things. The key enabling technologies and application domains that are likely to drive IoT research in the near future are discussed. A cloud implementation using Aneka, which is based on interaction of private and public clouds is presented. We conclude our IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
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Figures
![Figure 5: Overview of Aneka within Internet of Things Architecture [45]](/figures/figure5-1-3gd0oqr2g7qf.png)
Figure 5: Overview of Aneka within Internet of Things Architecture [45] 
Figure 1: Internet of Things Schematic showing the end users and application areas based on data 
Figure 8: Roadmap of key technological developments in the context of IoT application domains envisioned ![Figure 2: Gartner 2011 Hype Cycle of Emerging Technologies (Source: Gartner Inc. [10])](/figures/figure2-1-az1akd6sdgqr.png)
Figure 2: Gartner 2011 Hype Cycle of Emerging Technologies (Source: Gartner Inc. [10]) 
Figure 7: System Context Diagram 
Table 2: Potential IoT applications identified by different focus groups of City of Melbourne
Citations
Internet of Things: A study on security and privacy threats
Husamuddin,Mohammed Qayyum +1 more
- 26 Mar 2017
TL;DR: The different applications of IOT and the security threats involved are discussed, including the threat to privacy, which is always a threat to the authors' privacy.
68
Interoperability in Big, Open, and Linked Data--Organizational Maturity, Capabilities, and Data Portfolios
TL;DR: Defining their data interoperability maturity level, expanding capabilities, and developing a data portfolio can help guide organizations as they move toward ubiquitous information sharing.
68
Development and characterization of a solarbased energy harvesting and power management system for a wsn node applied to optimized goods transport and storage
TL;DR: A solar-based harvesting system that can be equipped with a Wireless Sensor Network (WSN) node in order to harvest energy presents in the environment to be used for sensor node power supply was designed and tested on Medinote sensor node.
68
Here there be dragons, a pre-roadmap construct for IoT service infrastructure
Nazrul Islam,Yorgos Marinakis,Mary Anne Majadillas,Matthias Fink,Steven T. Walsh,Steven T. Walsh +5 more
TL;DR: A precursor road mapping construct is developed which focuses on the service sector and supports 3rd generation road mapping techniques and utilizes the emerging IoT TSS technology base as a case study.
68
Triboelectric effect based instantaneous self-powered wireless sensing with self-determined identity
Jinkai Chen,Weipeng Xuan,Pengfei Zhao,Umar Farooq,Peng Ding,Wuliang Yin,Hao Jin,Xiaozhi Wang,Yong Qing Fu,Shurong Dong,Jikui Luo,Jikui Luo +11 more
TL;DR: The device is a standalone device, which responds to each trigger without losing sensing information, and eliminates the requirement of electric components for traditional wireless communication, such as rectification circuit, energy storage units, microprocessor, wireless communication chip, etc.
67
References
•Posted Content
Compressed Sensing: Theory and Applications
Gitta Kutyniok
- 15 Mar 2012
TL;DR: Machine generated contents note: Introduction to compressed sensing Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar, Pier Luigi Dragotta and Zvika Ben-Haim.
9.7K
•Book
Learning Deep Architectures for AI
Yoshua Bengio
- 01 Jan 2009
TL;DR: The motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer modelssuch as Restricted Boltzmann Machines, used to construct deeper models such as Deep Belief Networks are discussed.
The internet of things: a survey
TL;DR: The definitions, architecture, fundamental technologies, and applications of IoT are systematically reviewed and the major challenges which need addressing by the research community and corresponding potential solutions are investigated.
7.4K
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.
6.3K
Routing techniques in wireless sensor networks: a survey
TL;DR: A survey of state-of-the-art routing techniques in WSNs is presented and the design trade-offs between energy and communication overhead savings in every routing paradigm are studied.