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
![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
An End-to-End View of IoT Security and Privacy
Zhen Ling,Kaizheng Liu,Yiling Xu,Yier Jin,Xinwen Fu +4 more
- 01 Dec 2017
TL;DR: An end-to-end view of IoT security and privacy and a vulnerability analysis of the Edimax IP camera system, which is the first to exploit this system and have identified various attacks that can fully control all the cameras from the manufacturer.
70
Decision Directed Channel Estimation Based on Deep Neural Network $k$ -Step Predictor for MIMO Communications in 5G
TL;DR: The proposed DL-based DD-CE is a promising solution for reliable communication over vehicular MIMO fading channels without accurate mathematical models because DNNs can intelligently learn the statistics of the fading channels.
70
•Journal Article
Internet of Nano Things (IoNT): Next Evolutionary Step in Nanotechnology
TL;DR: The main objective behind this paper is to provide in-depth view of Internet of Nano Things (IoNT)- Architecture, Application areas and Challenges to make researchers aware of IoNT standard for overcoming existing challenges and making use of Io NT in diverse areas in near future for rapid deployment.
Design and Development of nEMoS, an All-in-One, Low-Cost, Web-Connected and 3D-Printed Device for Environmental Analysis
TL;DR: A low-cost and open-source hardware architecture able to detect the indoor variables necessary for the IEQ calculation as an alternative to the traditional hardware used for this purpose is described.
69
Lead–halide perovskites for next-generation self-powered photodetectors: a comprehensive review
Chandrasekar Perumal Veeramalai,Shuai Feng,Xiaoming Zhang,S. V. N. Pammi,Vincenzo Pecunia,Chuanbo Li +5 more
TL;DR: In this article, a comprehensive review of the research results on self-powered, lead-halide perovskite photodetectors (SPPDs) is presented.
69
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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.