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Internet of Things Based Multimedia Sensor Networks
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Internet of Things Based Multimedia Sensor Networks

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

Deadline for manuscript submissions: closed (20 March 2023) | Viewed by 17509

Special Issue Editor

Prof. Dr. Hussain Al-Rizzo

E-Mail Website
Guest Editor
Department of Systems Engineering, University of Arkansas at Little Rock, Little Rock, AR 72701, USA
Interests: design and analysis of flexible antennas, miniaturized microstrip antennas, and wireless systems; RF antennas and sensors based on carbon nanotube technologies and linearly and circularly polarized microstrip antennas for aerospace, GPS, and MIMO systems; high-power microwave heating systems; GPS receivers, data processing, and accuracy assessments; measurements of the electromagnetic constitutive parameters at microwave and millimeter-wave frequencies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The introduction of Internet of Things (IoT)-based multimedia sensor networks and the increasing demand for IoT applications in various civilian and military applications have imposed different strict constraints on the quality-of-service (QoS) requirements of image, audio quality, and windows size, in particular for high-quality real-time video media. These different constraints pose several challenges in exploiting the full potential of IoT multimedia communications, including integrated-circuit technologies, radio frequency devices and antennas, and system design and integration, resources management, routing mechanisms, security issues, uncertainty in network topology, and dynamic controls. Assuring optimal utilization of resources as well as satisfying QoS requirements in IoT multimedia applications have created a new challenge in terms of network management, collaborative communication systems, and the need for a specific smart type of sensor devices in wireless multimedia sensor networks (WMSN), designing a new energy-efficient MAC and routing protocol. WMSNs utilize multimedia sensing technology to monitor changes in the surrounding environment and route the collected information via different network architectures to remote controlling units. Therefore, WMSNs are expected to be among the pillars in realizing the IoT paradigm by fostering applications such as smart cities, smart agriculture, smart security, and emergency systems.

Several techniques in IoT communications such as multi-input–multi-output (MIMO), collaborative beamforming, and multipath routing protocols have been extensively used to improve the delivery of multimedia content, providing fault-tolerance routing and supporting QoS in IoT-based WMSNs. The objective of this Special Issue is to bring together state-of-the-art innovations, research activities, and the corresponding standardization impacts of cooperation between the IoT and multimedia sensor networks. We expect that existing and collaborative recent developments in radio frequency system design and implementation of various 5G networking technologies will inspire new requirements, promising technical options to boost the development and applications of WMSNs in the upcoming integration of 5G radios with IoT.

The MDPI Sensors journal solicits original work on “Internet of Things Based Multimedia Sensor Networks” that must not be currently under consideration for publication in other venues. The fields of interest include but are not limited to:

  • Multimedia sensor networks;
  • MIMO-based device-to-device (D-2-D) and vehicle-to-vehicle communication in IoT multimedia sensor networks;
  • Multicast routing and cross-layer protocols for bandwidth-hungry multimedia data transmissions in Internet of Things based multimedia sensor networks;
  • New quality-optimized Internet of Things based multimedia sensor network information gathering schemes in energy harvesting/ scavenging systems, smart cities, smart grid, and smart factory;
  • Optimal usage of resources for delivery of critical data satisfying intended quality-of-service (QoS) requirements within Internet of Things based multimedia sensor networks
  • Efficient media-aware security framework and privacy architectures for facilitating various multimedia applications in the Internet of Things based multimedia sensor networks;
  • Energy efficient routing protocols for Internet of Things based multimedia sensor networks;
  • New applications, test bed, and emerging architectures for Internet of Things based multimedia sensor networks;
  • Wireless sensor networks technologies, issues, and aspects that are critical for future Internet of Things based multimedia sensor networks.

Prof. Dr. Hussain Al-Rizzo
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.

Keywords

  • Internet of Multimedia Things
  • Smart cities
  • Internet of Things
  • Multimedia stream processing
  • Distributed systems
  • Smart environments
  • Cross layer protocol
  • End-to-end delay
  • Precision farming
  • Smart home
  • Security
  • Health informatics
  • MIMO
  • D2D
  • Vehicle-to-vehicle

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Published Papers (4 papers)

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Research

23 pages, 707 KiB  
Article
On Outage Probability and Ergodic Rate of Downlink Multi-User Relay Systems with Combination of NOMA, SWIPT, and Beamforming
by Ta Chi Hieu, Nguyen Le Cuong, Tran Manh Hoang, Do Thanh Quan and Pham Thanh Hiep
Sensors 2020, 20(17), 4737; https://doi.org/10.3390/s20174737 - 21 Aug 2020
Cited by 4 | Viewed by 2987
Abstract
A downlink of multi-user non-orthogonal multiple access (NOMA) relay systems is considered. To improve system performance, relay nodes are used to forward signals from the base station (BS) to the end users, and they are wirelessly powered by energy harvesting from the radio [...] Read more.
A downlink of multi-user non-orthogonal multiple access (NOMA) relay systems is considered. To improve system performance, relay nodes are used to forward signals from the base station (BS) to the end users, and they are wirelessly powered by energy harvesting from the radio frequency transmitted from the BS. Moreover, beamforming is applied at the BS based on multiple antennas and relay nodes consist of one transmit antenna but several receive ones. The system performance is demonstrated through closed-form expressions of outage probability (OP) and ergodic rate (ER) over Rayleigh fading channels. The proposed system is investigated in two cases of perfect and imperfect successive interference cancellation (SIC), and the imperfect channel state information condition is also taken into consideration. The OP and ER are calculated in many scenarios and the optimal time fraction of energy harvesting corresponding to the minimum OP is discussed. The exact and approximate theoretical results are compared with the simulation result to confirm the proposed theoretical analysis method. Full article
(This article belongs to the Special Issue Internet of Things Based Multimedia Sensor Networks)
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29 pages, 2913 KiB  
Article
Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors
by Mohammed Zaki Hasan and Hussain Al-Rizzo
Sensors 2020, 20(7), 2048; https://doi.org/10.3390/s20072048 - 6 Apr 2020
Cited by 28 | Viewed by 4895
Abstract
The integration of the Internet of Things (IoT) with Wireless Sensor Networks (WSNs) typically involves multihop relaying combined with sophisticated signal processing to serve as an information provider for several applications such as smart grids, industrial, and search-and-rescue operations. These applications entail deploying [...] Read more.
The integration of the Internet of Things (IoT) with Wireless Sensor Networks (WSNs) typically involves multihop relaying combined with sophisticated signal processing to serve as an information provider for several applications such as smart grids, industrial, and search-and-rescue operations. These applications entail deploying many sensors in environments that are often random which motivated the study of beamforming using random geometric topologies. This paper introduces a new algorithm for the synthesis of several geometries of Collaborative Beamforming (CB) of virtual sensor antenna arrays with maximum mainlobe and minimum sidelobe levels (SLL) as well as null control using Canonical Swarm Optimization (CPSO) algorithm. The optimal beampattern is achieved by optimizing the current excitation weights for uniform and non-uniform interelement spacings based on the network connectivity of the virtual antenna arrays using a node selection scheme. As compared to conventional beamforming, convex optimization, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), the proposed CPSO achieves significant reduction in SLL, control of nulls, and increased gain in mainlobe directed towards the desired base station when the node selection technique is implemented with CB. Full article
(This article belongs to the Special Issue Internet of Things Based Multimedia Sensor Networks)
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22 pages, 2849 KiB  
Article
Edge and Cloud Collaborative Entity Recommendation Method towards the IoT Search
by Ruyan Wang, Yuzhe Liu, Puning Zhang, Xuefang Li and Xuyuan Kang
Sensors 2020, 20(7), 1918; https://doi.org/10.3390/s20071918 - 30 Mar 2020
Cited by 8 | Viewed by 3077
Abstract
There are massive entities with strong denaturation of state in the physical world, and users have urgent needs for real-time and intelligent acquisition of entity information, thus recommendation technologies that can actively provide instant and precise entity state information come into being. Existing [...] Read more.
There are massive entities with strong denaturation of state in the physical world, and users have urgent needs for real-time and intelligent acquisition of entity information, thus recommendation technologies that can actively provide instant and precise entity state information come into being. Existing IoT data recommendation methods ignore the characteristics of IoT data and user search behavior; thus the recommendation performances are relatively limited. Considering the time-varying characteristics of the IoT entity state and the characteristics of user search behavior, an edge-cloud collaborative entity recommendation method is proposed via combining the advantages of edge computing and cloud computing. First, an entity recommendation system architecture based on the collaboration between edge and cloud is designed. Then, an entity identification method suitable for edge is presented, which takes into account the feature information of entities and carries out effective entity identification based on the deep clustering model, so as to improve the real-time and accuracy of entity state information search. Furthermore, an interest group division method applied in cloud is devised, which fully considers user’s potential search needs and divides user interest groups based on clustering model for enhancing the quality of recommendation system. Simulation results demonstrate that the proposed recommendation method can effectively improve the real-time and accuracy performance of entity recommendation in comparison with traditional methods. Full article
(This article belongs to the Special Issue Internet of Things Based Multimedia Sensor Networks)
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28 pages, 7961 KiB  
Article
Heterogeneous LoRa-Based Wireless Multimedia Sensor Network Multiprocessor Platform for Environmental Monitoring
by Sebastián García, Diego F. Larios, Julio Barbancho, Enrique Personal, Javier M. Mora-Merchán and Carlos León
Sensors 2019, 19(16), 3446; https://doi.org/10.3390/s19163446 - 7 Aug 2019
Cited by 17 | Viewed by 5150
Abstract
The acquisition of data in protected natural environments is subordinated to actions that do not stress the life-forms present in that environment. This is why researchers face two conflicting interests: autonomous and robust systems that minimize the physical interaction with sensors once installed, [...] Read more.
The acquisition of data in protected natural environments is subordinated to actions that do not stress the life-forms present in that environment. This is why researchers face two conflicting interests: autonomous and robust systems that minimize the physical interaction with sensors once installed, and complex enough ones to capture and process higher volumes of data. On the basis of this situation, this paper analyses the current state-of-the-art of wireless multimedia sensor networks, identifying the limitations and needs of these solutions. In this sense, in order to improve the trade-off between autonomous and computational capabilities, this paper proposes a heterogeneous multiprocessor sensor platform, consisting of an ultra-low power microcontroller and a high-performance processor, which transfers control between processors as needed. This architecture allows the shutdown of idle systems and fail-safe remote reprogramming. The sensor equipment can be adapted to the needs of the project. The deployed equipment incorporates, in addition to environmental meteorological variables, a microphone input and two cameras (visible and thermal) to capture multimedia data. In addition to the hardware description, the paper provides a brief description of how long-range (LoRa) can be used for sending large messages (such as an image or a new firmware), an economic analysis of the platform, and a study on energy consumption of the platform according to different use cases. Full article
(This article belongs to the Special Issue Internet of Things Based Multimedia Sensor Networks)
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