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Future Internet
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Internet of Things
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Internet of Things

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (20 September 2015) | Viewed by 26912

Special Issue Editors

Dr. Xiaolong Li

E-Mail Website
Guest Editor
Department of Electronics and Computer Engineering Technology, College of Technology, Indiana State University, Terre Haute, IN 47809, USA
Interests: wireless and mobile networks, wireless ad hoc networks, wireless Internet, modeling and performance analysis, QoS in communication networks, wireless mesh network, microcontroller-based applications, security in wireless networks
Dr. Shaoen Wu

E-Mail Website
Guest Editor
Department of Computer Science, Ball State University, Muncie, IN 47304, USA
Interests: cross-layer architectures and protocols; collaborative and cooperative wireless networking; wireless information security; multi-sensory systems; Internet of things; collaborative and autonomous UAVs; energy-friendly smart building; smart health; fault-tolerance; hybrid cloud; ubiquitous cloud

Special Issue Information

Daer Colleagues,

Internet of Things (IoT) has been emerging as the next big thing in Internet. It is envisioned that trillions of physical things or objects will be outfitted with different kinds of sensors and actuators and connected to the Internet via heterogeneous access networks enabled by technologies, such as embedded sensing and actuating, radio frequency identification (RFID), wireless sensor networks, real-time and semantic web services, etc. IoT is actually cyber-physical systems or a network of networks. With the extreme number of things/objects and sensors/actuators connected to the Internet, a massive and, in some cases, real-time data flow will be automatically produced by connected things and sensors. It is important to collect correct raw data in an efficient way; but more important is to analyze and mine the raw data to abstract more valuable information, such as correlations among things and services to provide web of things or Internet of services. This Special Issue features recent and emerging advances IoT architecture, protocols, data analytics, services and applications. It mainly focuses on topics including, but not limited to, sensors and devices for IoT, efficient communications and networking for IoT, security and privacy in IoT, crowd sensing and crowd sourcing, localization and tracking, services and applications, IoT data modeling and management, etc.

Dr. Xiaolong Li
Dr. Shaoen Wu
Guest Editors


Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • internet of things
  • wireless sensor network
  • networking and communication architectures
  • IoT intelligent sensing and interaction
  • cyber-physical security
  • big data
  • adaptive and autonomic computing

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Published Papers (4 papers)

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Research

3181 KiB  
Article
Detection of Intelligent Intruders in Wireless Sensor Networks
by Yun Wang, William Chu, Sarah Fields, Colleen Heinemann and Zach Reiter
Future Internet 2016, 8(1), 2; https://doi.org/10.3390/fi8010002 - 20 Jan 2016
Cited by 13 | Viewed by 5238
Abstract
Most of the existing research works on the intrusion detection problem in a wireless sensor network (WSN) assume linear or random mobility patterns in abstracting intruders’ models in traversing the WSN field. However, in real-life WSN applications, an intruder is usually an intelligent [...] Read more.
Most of the existing research works on the intrusion detection problem in a wireless sensor network (WSN) assume linear or random mobility patterns in abstracting intruders’ models in traversing the WSN field. However, in real-life WSN applications, an intruder is usually an intelligent mobile robot with environment learning and detection avoidance capability (i.e., the capability to avoid surrounding sensors). Due to this, the literature results based on the linear or random mobility models may not be applied to the real-life WSN design and deployment for efficient and effective intrusion detection in practice. This motivates us to investigate the impact of intruder’s intelligence on the intrusion detection problem in a WSN for various applications. To be specific, we propose two intrusion algorithms, the pinball and flood-fill algorithms, to mimic the intelligent motion and behaviors of a mobile intruder in detecting and circumventing nearby sensors for detection avoidance while heading for its destination. The two proposed algorithms are integrated into a WSN framework for intrusion detection analysis in various circumstances. Monte Carlo simulations are conducted, and the results indicate that: (1) the performance of a WSN drastically changes as a result of the intruder’s intelligence in avoiding sensor detections and intrusion algorithms; (2) network parameters, including node density, sensing range and communication range, play a crucial part in the effectiveness of the intruder’s intrusion algorithms; and (3) it is imperative to integrate intruder’s intelligence in the WSN research for intruder detection problems under various application circumstances. Full article
(This article belongs to the Special Issue Internet of Things)
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2092 KiB  
Article
Dynamic Load Balancing Strategy for Cloud Computing with Ant Colony Optimization
by Ren Gao and Juebo Wu
Future Internet 2015, 7(4), 465-483; https://doi.org/10.3390/fi7040465 - 26 Nov 2015
Cited by 51 | Viewed by 7602
Abstract
How to distribute and coordinate tasks in cloud computing is a challenging issue, in order to get optimal resource utilization and avoid overload. In this paper, we present a novel approach on load balancing via ant colony optimization (ACO), for balancing the workload [...] Read more.
How to distribute and coordinate tasks in cloud computing is a challenging issue, in order to get optimal resource utilization and avoid overload. In this paper, we present a novel approach on load balancing via ant colony optimization (ACO), for balancing the workload in a cloud computing platform dynamically. Two strategies, forward-backward ant mechanism and max-min rules, are introduced to quickly find out the candidate nodes for load balancing. We formulate pheromone initialization and pheromone update according to physical resources under the cloud computing environment, including pheromone evaporation, incentive, and punishment rules, etc. Combined with task execution prediction, we define the moving probability of ants in two ways, that is, whether the forward ant meets the backward ant, or not, in the neighbor node, with the aim of accelerating searching processes. Simulations illustrate that the proposed strategy can not only provide dynamic load balancing for cloud computing with less searching time, but can also get high network performance under medium and heavily loaded contexts. Full article
(This article belongs to the Special Issue Internet of Things)
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876 KiB  
Article
The Sensing Internet—A Discussion on Its Impact on Rural Areas
by Alfred Heller
Future Internet 2015, 7(4), 363-371; https://doi.org/10.3390/fi7040363 - 28 Sep 2015
Cited by 5 | Viewed by 6219
Abstract
This paper is based on the experience of introducing wireless sensor networks (WSNs) into the building industry in Denmark and in a rural area of Greenland. There are very real advantages in the application of the technology and its consequences for the life [...] Read more.
This paper is based on the experience of introducing wireless sensor networks (WSNs) into the building industry in Denmark and in a rural area of Greenland. There are very real advantages in the application of the technology and its consequences for the life cycle operation of the building sector. Sensor networks can be seen as an important part of the Internet of Things and may even constitute an Internet of Sensors, since the communication layers can differ from the Internet standards. The current paper describes the case for application, followed by a discussion of the observed adaptive advantages and consequences of the technology. Essentially, WSNs constitute a highly sophisticated technology that is more robust in a rural context due to its extremely simple installation procedures (plug and play) allowing the use of local less-skilled labour, and the possibility of reconfiguring and repurposing its use remotely. Full article
(This article belongs to the Special Issue Internet of Things)
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1803 KiB  
Article
Development of a Remote Monitoring System for Henhouse Environment Based on IoT Technology
by Hua Li, Huan Wang, Wenqing Yin, Yongwei Li, Yan Qian and Fei Hu
Future Internet 2015, 7(3), 329-341; https://doi.org/10.3390/fi7030329 - 10 Sep 2015
Cited by 44 | Viewed by 7197
Abstract
To monitor multiple environmental factors of henhouses in modern chicken farms, a henhouse online monitoring system based on wireless sensor network was developed using wireless sensor technology and computer network technology. Sensor data compensation and correction were designed to be achieved using software [...] Read more.
To monitor multiple environmental factors of henhouses in modern chicken farms, a henhouse online monitoring system based on wireless sensor network was developed using wireless sensor technology and computer network technology. Sensor data compensation and correction were designed to be achieved using software and data fitting methods, data reliable transmission achieved using a data loss recovery strategy, and data missing during monitoring addressed using a self-decision and online filling method. Operation test of the system showed that: The system was economic and reliable; it enabled wireless monitoring and Web display of the environmental factors of a henhouse; and the root mean square errors (RMSEs) between the estimated values from the self-decision and on-line filling method and experimental values of the four environmental factors were 0.1698, 3.0859, 77 and 0.094, respectively, indicative of high estimation accuracy. The system can provide support for modern management of henhouses and can be transplanted to related monitoring scenarios in the agricultural field. Full article
(This article belongs to the Special Issue Internet of Things)
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