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Sensor Fusion for IoT Applications
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Sensor Fusion for IoT Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (1 September 2020) | Viewed by 10782

Special Issue Editor

Prof. Dr. Naveen Chilamkurti

E-Mail Website
Guest Editor
Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, VIC, Australia
Interests: blockchain; authentication; IoT; fog computing; 5G; cloud security and wireless communications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

IoT devices in numerous positions are dependent on sensors to sense what is operating in the world, and then to process that data for the continuation of work. These sensors are the most significant component of devices and, as a consequence, extensively applied in IoT settings. In various IoT applications, distributed sensors accumulate data about a system. This data is processed, and commands may be issued that, in turn, influence the operation. A few examples of use include temperature sensors that allot an IoT device to understand the temperature of objects and function according to it; optical sensors that can emit, sustain, and transform light energy into digital signals; and pressure sensors that are used to identify the pressure of a liquid, gas, etc. Sensors facilitate IoT explications in every vertical field of IoT, from smart cities to smart agriculture, and from personalized health to intelligent transportation. The decreasing size and cost of sensors have enable the possibility for many novel and unexpected applications. The pace of modernization in the world of sensors makes it challenging for a practitioner to stay knowledgeable regarding the implied building blocks possible for use in devising an IoT solution.

The objective of this Special Issue is to provide practitioners and researchers involved in applications with a survey of the state-of-the-art sensors that are accessible for IoT applications. Additionally, this Special Issue will present analyses of best practices and lessons absorbed in picking, configuring, combining, and managing sensors in real-world IoT deployments.

Topics of interest include (but are not limited to):

  • Modeling and theoretical proofs of communications in CR-IoT;
  • Spectrum sensing and awareness techniques in CR-IoT;
  • Signal identification and transmission parameter estimation for CR-IoT;
  • Energy efficiency in CR-IoT;
  • QoS provisioning for CR-IoT;
  • Frequency synchronization and channel estimation for CR-IoT;
  • Adaptive power control techniques in CR-IoT;
  • Mobility, traffic models, and network management for CR-IoT;
  • Interference mitigation techniques for CR-IoT;
  • Security, privacy, and trust in CR-IoT;
  • Cooperative communications for CR-IoT;
  • Performance, scalability, reliability, and efficiency of CR-IoT;
  • Cross-layer optimization for CR-IoT;
  • Spectrum sharing in CR-IoT;
  • Routing strategies for CR-IoT;
  • Emerging cloud applications with CR-IoT;
  • Deployment of CR-IoT with energy harvesting;
  • Application of future internet architectures in CR-IoT;
  • Measurements, testbeds, and validation.

Prof. Dr. Naveen Chilamkurti
Guest Editor

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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.

Published Papers (2 papers)

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Research

26 pages, 5313 KiB  
Article
IoT Resource Allocation and Optimization Based on Heuristic Algorithm
by Arun Kumar Sangaiah, Ali Asghar Rahmani Hosseinabadi, Morteza Babazadeh Shareh, Seyed Yaser Bozorgi Rad, Atekeh Zolfagharian and Naveen Chilamkurti
Sensors 2020, 20(2), 539; https://doi.org/10.3390/s20020539 - 18 Jan 2020
Cited by 118 | Viewed by 7553
Abstract
The Internet of Things (IoT) is a distributed system that connects everything via internet. IoT infrastructure contains multiple resources and gateways. In such a system, the problem of optimizing IoT resource allocation and scheduling (IRAS) is vital, because resource allocation (RA) and scheduling [...] Read more.
The Internet of Things (IoT) is a distributed system that connects everything via internet. IoT infrastructure contains multiple resources and gateways. In such a system, the problem of optimizing IoT resource allocation and scheduling (IRAS) is vital, because resource allocation (RA) and scheduling deals with the mapping between recourses and gateways and is also responsible for optimally allocating resources to available gateways. In the IoT environment, a gateway may face hundreds of resources to connect. Therefore, manual resource allocation and scheduling is not possible. In this paper, the whale optimization algorithm (WOA) is used to solve the RA problem in IoT with the aim of optimal RA and reducing the total communication cost between resources and gateways. The proposed algorithm has been compared to the other existing algorithms. Results indicate the proper performance of the proposed algorithm. Based on various benchmarks, the proposed method, in terms of “total communication cost”, is better than other ones. Full article
(This article belongs to the Special Issue Sensor Fusion for IoT Applications)
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15 pages, 1448 KiB  
Article
Performance Evaluation and Validation of QCM (Query Control Mechanism) for QoS-Enabled Layered-Based Clustering for Reactive Flooding in the Internet of Things
by Fawad Ali Khan, Rafidah Md Noor, Miss Laiha Mat Kiah, Ismail Ahmedy, Mohd Yamani, Tey Kok Soon and Muneer Ahmad
Sensors 2020, 20(1), 283; https://doi.org/10.3390/s20010283 - 3 Jan 2020
Cited by 3 | Viewed by 2826
Abstract
Internet of Things (IoT) facilitates a wide range of applications through sensor-based connected devices that require bandwidth and other network resources. Enhancement of efficient utilization of a heterogeneous IoT network is an open optimization problem that is mostly suffered by network flooding. Redundant, [...] Read more.
Internet of Things (IoT) facilitates a wide range of applications through sensor-based connected devices that require bandwidth and other network resources. Enhancement of efficient utilization of a heterogeneous IoT network is an open optimization problem that is mostly suffered by network flooding. Redundant, unwanted, and flooded queries are major causes of inefficient utilization of resources. Several query control mechanisms in the literature claimed to cater to the issues related to bandwidth, cost, and Quality of Service (QoS). This research article presented a statistical performance evaluation of different query control mechanisms that addressed minimization of energy consumption, energy cost and network flooding. Specifically, it evaluated the performance measure of Query Control Mechanism (QCM) for QoS-enabled layered-based clustering for reactive flooding in the Internet of Things. By statistical means, this study inferred the significant achievement of the QCM algorithm that outperformed the prevailing algorithms, i.e., Divide-and-Conquer (DnC), Service Level Agreements (SLA), and Hybrid Energy-aware Clustering Protocol for IoT (Hy-IoT) for identification and elimination of redundant flooding queries. The inferential analysis for performance evaluation of algorithms was measured in terms of three scenarios, i.e., energy consumption, delays and throughput with different intervals of traffic, malicious mote and malicious mote with realistic condition. It is evident from the results that the QCM algorithm outperforms the existing algorithms and the statistical probability value “P” < 0.05 indicates the performance of QCM is significant at the 95% confidence interval. Hence, it could be inferred from findings that the performance of the QCM algorithm was substantial as compared to that of other algorithms. Full article
(This article belongs to the Special Issue Sensor Fusion for IoT Applications)
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