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Vertical IoT Solutions and Their Applications in Smart Cities, Smart Agriculture, Smart Environment and Disaster Management

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

Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 70942

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Special Issue Editors

Dr. Trung Q. Duong

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Guest Editor

Queen's University Belfast, Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK
Interests: wireless communications; smart cities; IoT; disaster communications; smart agriculture

Dr. Nguyen-Son Vo

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Guest Editor

Institute of Fundamental and Applied Sciences, Duy Tan University, Ho Chi Minh City 700000, Vietnam
Interests: self-powered multimedia wireless communications; quality of experience provision in wireless networks for smart cities; IoT to disaster and environment management

Dr. Zhichao Sheng

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Guest Editor

Shanghai University, Shanghai, China
Interests: wireless communications; IoT; smart cities

Special Issue Information

Dear Colleagues,

We are now in a new era of industry: the fourth industrial revolution (Industry 4.0), in which by 2020 about 50 billion connected devices will communicate over the Internet of Things (IoT). This, in turn, will transform our economy and society in many ways, especially in lower income countries. IoT technology holds considerable promise as a digital innovation that has the ability to bring significant impact to countries of all degrees of technology adoption, which indicates that IoT is well-suited for long-term development goals.

IoT technologies have entered and transformed key areas of human life (smart homes, self-health monitors), such as business (RF identification tags), transportation (self-driving cars), factories (smart robots), and cities (smart air pollution monitors, e-healthcare, and smart governments). Yet, while the picture of how the IoT in Industry 4.0 can be of support is very clear, there have been uncertainties, opportunities, and challenges regarding the adoption of IoT technologies.

Our Special Issue addresses these issues and covers, but is not limited to the following research themes: 5G ultra-dense networks and IoT; communication and networking technology for IoT; IoT systems and network architecture; embedded systems and sensor networks in IoT; security/privacy/safety in IoT; IoT applications, services, and implementations; health monitoring—body sensor networks, and smart wearable devices; sensors data management, IoT mining, and analytics; edge computing, fog computing, and IoT; location-based services: indoor positioning, navigation, and mapping for IoT-based mission-critical communications and networks; disaster-resilient 3D location detection protocols suitable for IoT-based mission-critical communications and networks; and especially how these themes can be further transformed to be applicable to smart cities, agriculture, and disaster management.

Dr. Trung Q. Duong
Dr. Nguyen-Son Vo
Dr. Zhichao Sheng
Guest Editors

Manuscript Submission Information

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Keywords

IoT
IoT enabling technologies
Smart cities
Smart agriculture
Disaster communications
5G ultra-dense networks

Published Papers (4 papers)

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Research

21 pages, 905 KiB

Open AccessArticle

DIEER: Delay-Intolerant Energy-Efficient Routing with Sink Mobility in Underwater Wireless Sensor Networks

by Kamran Latif, Nadeem Javaid, Imdad Ullah, Zeeshan Kaleem, Zafar Abbas Malik and Long D. Nguyen

Sensors 2020, 20(12), 3467; https://doi.org/10.3390/s20123467 - 19 Jun 2020

Cited by 30 | Viewed by 2949

Abstract

Underwater Wireless Sensor Networks (UWSNs) are an enabling technology for many applications in commercial, military, and scientific domains. In some emergency response applications of UWSN, data dissemination is more important, therefore these applications are handled differently as compared to energy-focused approaches, which is only possible when propagation delay is minimized and packet delivery at surface sinks is assured. Packet delivery underwater is a serious concern because of harsh underwater environments and the dense deployment of nodes, which causes collisions and packet loss. Resultantly, re-transmission causes energy loss and increases end-to-end delay (

D_{E 2 E}

). In this work, we devise a framework for the joint optimization of sink mobility, hold and forward mechanisms, adoptive depth threshold (

d_{t h}

) and data aggregation with pattern matching for reducing nodal propagation delay, maximizing throughput, improving network lifetime, and minimizing energy consumption. To evaluate our technique, we simulate the three-dimensional (3-D) underwater network environment with mobile sink and dense deployments of sensor nodes with varying communication radii. We carry out scalability analysis of the proposed framework in terms of network lifetime, throughput, and packet drop. We also compare our framework to existing techniques, i.e., Mobicast and iAMCTD protocols. We note that adapting varying

d_{t h}

based on node density in a range of network deployment scenarios results in a reduced number of re-transmissions, good energy conservation, and enhanced throughput. Furthermore, results from extensive simulations show that our proposed framework achieves better performance over existing approaches for real-time delay-intolerant applications. Full article

(This article belongs to the Special Issue Vertical IoT Solutions and Their Applications in Smart Cities, Smart Agriculture, Smart Environment and Disaster Management)

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15 pages, 3109 KiB

Open AccessArticle

A Smart Waste Management Solution Geared towards Citizens

by Kellow Pardini, Joel J.P.C. Rodrigues, Ousmane Diallo, Ashok Kumar Das, Victor Hugo C. de Albuquerque and Sergei A. Kozlov

Sensors 2020, 20(8), 2380; https://doi.org/10.3390/s20082380 - 22 Apr 2020

Cited by 103 | Viewed by 56061

Abstract

Global industry is undergoing major transformations with the genesis of a new paradigm known as the Internet of Things (IoT) with its underlying technologies. Many company leaders are investing more effort and money in transforming their services to capitalize on the benefits provided by the IoT. Thereby, the decision makers in public waste management do not want to be outdone, and it is challenging to provide an efficient and real-time waste management system. This paper proposes a solution (hardware, software, and communications) that aims to optimize waste management and include a citizen in the process. The system follows an IoT-based approach where the discarded waste from the smart bin is continuously monitored by sensors that inform the filling level of each compartment, in real-time. These data are stored and processed in an IoT middleware providing information for collection with optimized routes and generating important statistical data for monitoring the waste collection accurately in terms of resource management and the provided services for the community. Citizens can easily access information about the public waste bins through the Web or a mobile application. The creation of the real prototype of the smart container, the development of the waste management application and a real-scale experiment use case for evaluation, demonstration, and validation show that the proposed system can efficiently change the way people deal with their garbage and optimize economic and material resources. Full article

(This article belongs to the Special Issue Vertical IoT Solutions and Their Applications in Smart Cities, Smart Agriculture, Smart Environment and Disaster Management)

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16 pages, 4817 KiB

Open AccessArticle

Development of a Spatial Decision Support System for Real-Time Flood Early Warning in the Vu Gia-Thu Bon River Basin, Quang Nam Province, Vietnam

by Hong T. Nguyen, Trung Q. Duong, Liem D. Nguyen, Tram Q.N. Vo, Nhat T. Tran, Phuong D.N. Dang, Long D. Nguyen, Cuong K. Dang and Loi K. Nguyen

Sensors 2020, 20(6), 1667; https://doi.org/10.3390/s20061667 - 17 Mar 2020

Cited by 12 | Viewed by 5423

Abstract

Vu Gia-Thu Bon (VGTB) river basin is an area where flash flood and heavy flood events occur frequently, negatively impacting the local community and socio-economic development of Quang Nam Province. In recent years, structural and non–structural solutions have been implemented to mitigate damages due to floods. However, under the impact of climate change, natural disasters continue to happen unpredictably day by day. It is, therefore, necessary to develop a spatial decision support system for real-time flood warnings in the VGTB river basin, which will support in ensuring the area’s socio-economic development. The main purpose of this study is to develop an online flood warning system in real-time based on Internet-of-Things (IoT) technologies, GIS, telecommunications, and modeling (Soil and Water Assessment Tool (SWAT) and Hydrologic Engineering Center’s River Analysis System (HEC–RAS)) in order to support the local community in the vulnerable downstream areas in the event of heavy rainfall upstream. The structure of the designed system consists of these following components: (1) real-time hydro-meteorological monitoring network, (2) IoT communication infrastructure (Global System for Mobile Communications (GSM), General Packet Radio Service (GPRS), wireless networks), (3) database management system (bio-physical, socio-economic, hydro-meteorological, and inundation), (4) simulating and predicting model (SWAT, HEC–RAS), (5) automated simulating and predicting module, (6) flood warning module via short message service (SMS), (7) WebGIS, application for providing and managing hydro-meteorological and inundation data, and (8) users (citizens and government officers). The entire operating processes of the flood warning system (i.e., hydro-meteorological data collecting, transferring, updating, processing, running SWAT and HEC–RAS, visualizing) are automated. A complete flood warning system for the VGTB river basin has been developed as an outcome of this study, which enables the prediction of flood events 5 h in advance and with high accuracy of 80%. Full article

(This article belongs to the Special Issue Vertical IoT Solutions and Their Applications in Smart Cities, Smart Agriculture, Smart Environment and Disaster Management)

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21 pages, 2396 KiB

Open AccessArticle

RDSP: Rapidly Deployable Wireless Ad Hoc System for Post-Disaster Management

by Ajmal Khan, Adnan Munir, Zeeshan Kaleem, Farman Ullah, Muhammad Bilal, Lewis Nkenyereye, Shahen Shah, Long D. Nguyen, S. M. Riazul Islam and Kyung-Sup Kwak

Sensors 2020, 20(2), 548; https://doi.org/10.3390/s20020548 - 19 Jan 2020

Cited by 12 | Viewed by 5236

Abstract

In post-disaster scenarios, such as after floods, earthquakes, and in war zones, the cellular communication infrastructure may be destroyed or seriously disrupted. In such emergency scenarios, it becomes very important for first aid responders to communicate with other rescue teams in order to provide feedback to both the central office and the disaster survivors. To address this issue, rapidly deployable systems are required to re-establish connectivity and assist users and first responders in the region of incident. In this work, we describe the design, implementation, and evaluation of a rapidly deployable system for first response applications in post-disaster situations, named RDSP. The proposed system helps early rescue responders and victims by sharing their location information to remotely located servers by utilizing a novel routing scheme. This novel routing scheme consists of the Dynamic ID Assignment (DIA) algorithm and the Minimum Maximum Neighbor (MMN) algorithm. The DIA algorithm is used by relay devices to dynamically select their IDs on the basis of all the available IDs of networks. Whereas, the MMN algorithm is used by the client and relay devices to dynamically select their next neighbor relays for the transmission of messages. The RDSP contains three devices; the client device sends the victim’s location information to the server, the relay device relays information between client and server device, the server device receives messages from the client device to alert the rescue team. We deployed and evaluated our system in the outdoor environment of the university campus. The experimental results show that the RDSP system reduces the message delivery delay and improves the message delivery ratio with lower communication overhead. Full article

(This article belongs to the Special Issue Vertical IoT Solutions and Their Applications in Smart Cities, Smart Agriculture, Smart Environment and Disaster Management)

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