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Future Internet, Volume 11, Issue 4

April 2019 - 19 articles

Cover Story: With the rise of the Internet of Things (IoT), applications have become smarter and this has given rise to connected devices being exploited in all aspects of a modern city. As the volume of the collected data increases, machine learning (ML) techniques are applied to further enhance the intelligence and the capabilities of applications. Smart transportation is a hot topic approached with both ML and IoT techniques. In this review, smart transportation is considered to be an umbrella term that covers route optimization, parking, street lights, accident prevention, road anomalies, and infrastructure applications. This is a self-contained review of ML and IoT applications in smart transportation, highlighting the research trends and possible coverage needs in the aforementioned fields. View this paper.
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Articles (19)

  • Article
  • Open Access
3 Citations
5,988 Views
19 Pages

24 April 2019

Currently, the deployment of services for real-time delivery of an electrocardiogram to a remote site has a cost that prevents its widespread diffusion, which would contribute to saving lives with prevention, assistance and rescue efficiency. To fill...

  • Feature Paper
  • Review
  • Open Access
117 Citations
12,864 Views
25 Pages

Edge Computing: A Survey On the Hardware Requirements in the Internet of Things World

  • Maurizio Capra,
  • Riccardo Peloso,
  • Guido Masera,
  • Massimo Ruo Roch and
  • Maurizio Martina

23 April 2019

In today’s world, ruled by a great amount of data and mobile devices, cloud-based systems are spreading all over. Such phenomenon increases the number of connected devices, broadcast bandwidth, and information exchange. These fine-grained inter...

  • Article
  • Open Access
1 Citations
3,731 Views
11 Pages

FollowMe: One Social Importance-Based Collaborative Scheme in MONs

  • Peiyan Yuan,
  • Xiaoxiao Pang,
  • Ping Liu and
  • En Zhang

The performance of mobile opportunistic networks mainly relies on collaboration among nodes. Thus far, researchers have ignored the influence of node sociality on the incentive process, leading to poor network performance. Considering the fact that f...

  • Review
  • Open Access
118 Citations
31,079 Views
35 Pages

Wireless Mesh Networking: An IoT-Oriented Perspective Survey on Relevant Technologies

  • Antonio Cilfone,
  • Luca Davoli,
  • Laura Belli and
  • Gianluigi Ferrari

The Internet of Things (IoT), being a “network of networks”, promises to allow billions of humans and machines to interact with each other. Owing to this rapid growth, the deployment of IoT-oriented networks based on mesh topologies is ve...

  • Article
  • Open Access
3 Citations
5,386 Views
12 Pages

A Method of Bus Network Optimization Based on Complex Network and Beidou Vehicle Location

  • Peixin Dong,
  • Dongyuan Li,
  • Jianping Xing,
  • Haohui Duan and
  • Yong Wu

Aiming at the problems of poor time performance and accuracy in bus stops network optimization, this paper proposes an algorithm based on complex network and graph theory and Beidou Vehicle Location to measure the importance of bus stops. This method...

  • Article
  • Open Access
9 Citations
5,647 Views
16 Pages

Social networks have attracted a lot of attention as novel information or advertisement diffusion media for viral marketing. Influence maximization describes the problem of finding a small subset of seed nodes in a social network that could maximize...

  • Article
  • Open Access
31 Citations
6,254 Views
15 Pages

Text sentiment analysis is an important but challenging task. Remarkable success has been achieved along with the wide application of deep learning methods, but deep learning methods dealing with text sentiment classification tasks cannot fully explo...

  • Review
  • Open Access
527 Citations
37,185 Views
23 Pages

A Review of Machine Learning and IoT in Smart Transportation

  • Fotios Zantalis,
  • Grigorios Koulouras,
  • Sotiris Karabetsos and
  • Dionisis Kandris

With the rise of the Internet of Things (IoT), applications have become smarter and connected devices give rise to their exploitation in all aspects of a modern city. As the volume of the collected data increases, Machine Learning (ML) techniques are...

  • Article
  • Open Access
84 Citations
10,829 Views
14 Pages

Human mobility is a key element in the understanding of epidemic spreading. Thus, correctly modeling and quantifying human mobility is critical for studying large-scale spatial transmission of infectious diseases and improving epidemic control. In th...

  • Article
  • Open Access
21 Citations
9,253 Views
12 Pages

An increasing number of implementations of IoT for development use the LoRaWAN protocol as many of them leverage the free network and application servers provided by The Things Networks (TTN) to fulfill their needs. Unfortunately, in some countries i...

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Future Internet - ISSN 1999-5903