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.
read more
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.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
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
![Figure 5: Overview of Aneka within Internet of Things Architecture [45]](/figures/figure5-1-3gd0oqr2g7qf.webp)
![Figure 2: Gartner 2011 Hype Cycle of Emerging Technologies (Source: Gartner Inc. [10])](/figures/figure2-1-az1akd6sdgqr.webp)
Citations
A Smart Glucose Monitoring System for Diabetic Patient
TL;DR: An intelligent architecture for the surveillance of diabetic disease that will allow physicians to remotely monitor the health of their patients through sensors integrated into smartphones and smart portable devices is presented.
66
Hash-MAC-DSDV: Mutual Authentication for Intelligent IoT-Based Cyber-Physical Systems
Muhammad Adil,Mian Ahmad Jan,Spyridon Mastorakis,Houbing Song,Muhammad Mohsin Jadoon,Safia Abbas,Ahmed Farouk +6 more
TL;DR: A lightweight Hash-MAC-DSDV (Hash Media Access Control Destination Sequence Distance Vector) routing scheme is proposed to resolve authentication issues in CPS technologies, connected in the form of IoT networks.
66
A Fog Computing-based IoT Framework for Precision Agriculture
Ermanno Guardo,Ermanno Guardo,Alessandro Di Stefano,Aurelio La Corte,Marco Sapienza,Marialisa Scatá +5 more
TL;DR: A Fog-based IoT framework, which exploits the two-tier Fog and their resources, reducing the transmitted data to the Cloud, improving the computational load balancing and reducing the waiting times is proposed.
A Decision Support System for Irrigation Management: Analysis and Implementation of Different Learning Techniques
Roque Torres-Sánchez,Honorio Navarro-Hellín,Antonio Guillamon-Frutos,Rubén San-Segundo,Maria Carmen Ruiz-Abellón,Rafael Domingo-Miguel +5 more
TL;DR: Nine orchards were tested using linear regression, random forest regression, and support vector regression methods as engines of the irrigation decision support system (IDSS) proposed and the results lead to the conclusion that these methods are valid engines to develop automatic irrigation scheduling systems.
65
An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers
TL;DR: An analytic framework that integrates the DEMATEL and PLS-SEM was verified as being a feasible research area by empirical validation that was based on opinions provided by both Taiwanese experts and mass customers and can be used in future studies of technology marketing and consumer behaviors.
65
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.