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IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry
N. N. Misra;Yash Dixit;Ahmad Al-Mallahi;Manreet Singh Bhullar;Rohit Upadhyay;Alex Martynenko
Publication Year: 2022,Page(s):6305 - 6324
Cited by: Papers (376)
Internet of Things (IoT) results in a massive amount of streaming data, often referred to as “big data,” which brings new opportunities to monitor agricultural and food processes. Besides sensors, big data from social media is also becoming important for the food industry. In this review, we present an overview of IoT, big data, and artificial intelligence (AI), and their disruptive role in shapin...Show More
A New IoT-Based Platform for Greenhouse Crop Production
M. Muñoz;J. L. Guzmán;J. A. Sánchez-Molina;F. Rodríguez;M. Torres;M. Berenguel
Publication Year: 2022,Page(s):6325 - 6334
Cited by: Papers (30)
This article proposes a cloud solution to build an Internet of Things (IoT) platform applied in a greenhouse crop production context. Real-time and historical data, as well as prediction models, can be accessed by means of representational state transfer (RESTful) Web services developed for such a purpose. Forecasting is also provided following a Greenhouse Models as a Service (GMaaS) approach. Cu...Show More
CMRDF: A Real-Time Food Alerting System Based on Multimodal Data
Publication Year: 2022,Page(s):6335 - 6349
Cited by: Papers (5)
A healthy diet is a major concern for everyone, especially for those with specific diseases, such as diabetes. Meanwhile, with the rapid development of new technologies, it is feasible for us to detect the deep latent relationship between daily meals and wellbeing. Advanced Internet of Things devices, such as smart bracelets and wearable cameras, make it possible for people to know how food is rel...Show More
Cognitive Framework of Food Quality Assessment in IoT-Inspired Smart Restaurants
Publication Year: 2022,Page(s):6350 - 6358
Cited by: Papers (12)
Information and communication technology (ICT) empowered by the Internet of Things (IoT) and fog–cloud paradigm has been widely adopted in several domains of logistics, healthcare, and agriculture. Inspired by the enormous benefits of IoT technology, this research proposes a novel notion of smart restaurants for assessing the food quality using the game theory. Specifically, this research presents...Show More
Optimal Deployment in Crowdsensing for Plant Disease Diagnosis in Developing Countries
Andrea Coletta;Novella Bartolini;Gaia Maselli;Annalyse Kehs;Peter McCloskey;David P. Hughes
Publication Year: 2022,Page(s):6359 - 6373
Cited by: Papers (11)
In most of the developing countries, the economy is largely based on agriculture. The poor availability of skilled personnel and of appropriate supporting infrastructure, make crop fields vulnerable to the outbreak of plant diseases, possibly due to spreading viruses and fungi, or to adverse environmental conditions, such as drought. The mobile application PlantVillage Nuru provides an invaluable ...Show More
AI-Envisioned Blockchain-Enabled Signature-Based Key Management Scheme for Industrial Cyber–Physical Systems
Ashok Kumar Das;Basudeb Bera;Sourav Saha;Neeraj Kumar;Ilsun You;Han-Chieh Chao
Publication Year: 2022,Page(s):6374 - 6388
Cited by: Papers (23)
This article proposes a new blockchain-envisioned key management protocol for artificial intelligence (AI)-enabled industrial cyber–physical systems (ICPSs). The designed key management protocol enables key establishment among the Internet of Things (IoT)-enabled smart devices and their respective gateway nodes. The blocks partially constructed with secure data from smart devices by fog servers ar...Show More
Joint UAV Placement and Data Delivery in Aerial Inspection Under Uncertainties
Napat Ngoenriang;Stephen John Turner;Dusit Niyato;Sucha Supittayapornpong
Publication Year: 2022,Page(s):6389 - 6403
Cited by: Papers (4)
The advancements in Internet-connected drones and edge computing raise the possibility of an on-the-fly inspection service that can instantly report the results. Inspection of sites using a drone fleet requires planning to meet situational requirements while minimizing operational costs under uncertainties of inspection requests, the urgency of reports, and the availability of communication channe...Show More
Sleep–Wake Sensor Scheduling for Minimizing AoI-Penalty in Industrial Internet of Things
Publication Year: 2022,Page(s):6404 - 6417
Cited by: Papers (15)
Ensuring data freshness is important for Industrial Internet of Things (IIoT). In this article, we consider a typical IIoT application where multiple sensors monitor some time-varying physical processes and report measurements to a central base station through an unreliable wireless channel. In order to save energy, each sensor may switch to sleep mode for a while after successfully transmitting a...Show More
Optimal Policy Characterization Enhanced Proximal Policy Optimization for Multitask Scheduling in Cloud Computing
Publication Year: 2022,Page(s):6418 - 6433
Cited by: Papers (12)
For a serving system with multiple servers and a public queue, we study the scheduling of multiple tasks with deadlines, under random task arrivals and renewable energy generation. To minimize the weighted sum of the serving cost (associated with the energy consumption) and the delay cost (resulting from deferring the processing of tasks after their deadlines), we formulate the problem as a dynami...Show More
Multiagent Q-Learning-Based Multi-UAV Wireless Networks for Maximizing Energy Efficiency: Deployment and Power Control Strategy Design
Publication Year: 2022,Page(s):6434 - 6442
Cited by: Papers (46)
In air-to-ground communications, the network lifetime depends on the operation time of unmanned aerial vehicle-base stations (UAV-BSs) owing to the restricted battery capacity. Therefore, the maximization of energy efficiency and the minimization of outage ground users are important metrics of network performance. To achieve these two objectives, the location and transmit power of the UAV-BSs in t...Show More
Robust Resource Allocation for Lightweight Secure Transmission in Multicarrier NOMA-Assisted Full Duplex IoT Networks
Yu Zhang;Xiongwen Zhao;Zhenyu Zhou;Peng Qin;Suiyan Geng;Chen Xu;Yang Wang;Liuqing Yang
Publication Year: 2022,Page(s):6443 - 6457
Cited by: Papers (17)
In this article, with the aim to enhance the secure transmission and improve the utilization of spectrum resources in Internet of Things (IoT), a multicarrier nonorthogonal multiple access (MC-NOMA)-assisted full duplex (FD) network is investigated, in which nonorthogonal multiple access (NOMA) is implemented in both uplink and downlink transmissions. The lightweight and low-power physical layer s...Show More
LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks
Rami Hamdi;Emna Baccour;Aiman Erbad;Marwa Qaraqe;Mounir Hamdi
Publication Year: 2022,Page(s):6458 - 6476
Cited by: Papers (35)
LoRa wireless networks are considered as a key enabling technology for next-generation Internet of Things (IoT) systems. New IoT deployments (e.g., smart city scenarios) can have thousands of devices per square kilometer leading to huge amount of power consumption to provide connectivity. In this article, we investigate green LoRa wireless networks powered by a hybrid of the grid and renewable ene...Show More
Caching Content on the Network Layer: A Performance Analysis of Caching Schemes in ICN-Based Internet of Things
Muhammad Ali Naeem;Rehmat Ullah;Yahui Meng;Rashid Ali;Bilal Ahmed Lodhi
Publication Year: 2022,Page(s):6477 - 6495
Cited by: Papers (19)
Information-centric networking (ICN) is a promising paradigm shift that aims to tackle the traditional Internet architectural problems and to fulfill the future Internet requirements. The traditional Internet architecture is a host-oriented architecture (i.e., TCP/Internet protocol (IP) approach) due to which the Internet of Things (IoT) have been facing issues related to data dissemination across...Show More
An RSU Deployment Strategy Based on Traffic Demand in Vehicular Ad Hoc Networks (VANETs)
Publication Year: 2022,Page(s):6496 - 6505
Cited by: Papers (48)
The rapid development of connected automatic vehicle (CAV) technology makes vehicular ad hoc networks (VANETs) an urgently needed research field. It includes vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) message flows. A roadside unit (RSU) is an important infrastructure for V2I communication and provides roadside information services for CAVs. However, an unoptimal RSU deployment m...Show More
A Unified Analytical Framework for RSS-Based Localization Systems
Publication Year: 2022,Page(s):6506 - 6519
Cited by: Papers (8)
Positioning based on received signal strength (RSS) is regarded as a promising candidate for localization purposes in wireless networks due to its feasibility and deployability. In general, multilateration and fingerprinting algorithms are the primary localization methods in RSS-based localization systems, which are assessed by the Cramér–Rao lower bound (CRLB), given fixed node locations, includi...Show More
Cell-Free Massive MIMO for Massive Low-Power Internet of Things Networks
Publication Year: 2022,Page(s):6520 - 6535
Cited by: Papers (12)
In this article, we consider the application of a cell-free (CF) massive multiple-input–multiple-output (MIMO) system to low-power Internet of Things (IoT) networks. CF Massive MIMO distributes many access points (APs) in a given area and supports many IoT devices simultaneously using the same time and frequency resources. To support many IoT devices that have more than the number of service anten...Show More
Cell-Free Massive MIMO for Massive Low-Power Internet of Things Networks
Year: 2022 | Volume: 9 | Issue: 9
An Elastic Resource Allocation Algorithm Based on Dispersion Degree for Hybrid Requests in Satellite Optical Networks
Yiqiang Li;Qi Zhang;Ran Gao;Xiangjun Xin;Haipeng Yao;Feng Tian;Mohsen Guizani
Publication Year: 2022,Page(s):6536 - 6549
Cited by: Papers (14)
The satellite-assisted Internet of Things (IoT) communication is considered a key component of the 6G network, and low Earth orbit (LEO) satellite is the leading choice of IoT-related satellites due to its minimum delay. Hybrid requests, including immediate reservation (IR) and advanced reservation (AR) services in LEO satellite netoworks cause the occurrence of resource fragments (RFrags), which ...Show More
EdgeSaver: Edge-Assisted Energy-Aware Mobile Video Streaming for User Retention Enhancement
Publication Year: 2022,Page(s):6550 - 6562
Cited by: Papers (3)
Video streaming service is one of the most important IoT applications/services at the mobile end. To provide better services and earn more customers, the mobile video service providers have paid considerable attention to enhance end users’ Quality of Experience (QoE) in video streaming. As an important aspect of the mobile device, however, the battery power and its impacts on the mobile services w...Show More
DynaKey: Dynamic Keystroke Tracking Using a Head-Mounted Camera Device
Publication Year: 2022,Page(s):6563 - 6577
Cited by: Papers (1)
Mobile and wearable devices have become more and more popular. However, the tiny touch screen leads to inefficient interaction with these devices, especially for text input. In this article, we propose DynaKey, which allows people to type on a virtual keyboard printed on a piece of article or drawn on a desk, for inputting text into a head-mounted camera device (e.g., smart glasses). By using the ...Show More
Overlay Cognitive IoT-Based Full-Duplex Relaying NOMA Systems With Hardware Imperfections
Publication Year: 2022,Page(s):6578 - 6596
Cited by: Papers (36)
Energy harvesting with cognitive radio and nonorthogonal multiple access (NOMA) techniques offer a promising solution to enhance the spectral and energy efficiency in Internet of Things (IoT) networks. This article investigates the performance of an overlay cognitive NOMA (OCNOMA) system tailored for IoT applications. Herein, the primary network includes a primary transmitter-receiver pair, wherea...Show More
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multiagent Ensemble Deep Reinforcement Learning With Imitation Acceleration
Publication Year: 2022,Page(s):6597 - 6610
Cited by: Papers (41)
In large-scale mobile edge computing (MEC) systems, the task latency, and energy consumption are important for massive resource-consuming and delay-sensitive Internet of Things Devices (IoTDs). Against this background, we propose a distributed intelligent resource scheduling (DIRS) framework to minimize the sum of task latency and energy consumption for all IoTDs, which can be formulated as a mixe...Show More
MUD-Based Behavioral Profiling Security Framework for Software-Defined IoT Networks
Prabhakar Krishnan;Kurunandan Jain;Rajkumar Buyya;Pandi Vijayakumar;Anand Nayyar;Muhammad Bilal;Houbing Song
Publication Year: 2022,Page(s):6611 - 6622
Cited by: Papers (35)
The rapid development and deployment of Internet of Things (IoT) devices in modern networks and Industry 4.0 have attracted substantial interest from cybersecurity researchers. In this study, we propose a software-defined framework that improves network intrusion detection systems by using manufacturer usage description (MUD) to enhance the behavioral monitoring in IoT networks. We aim to explore ...Show More
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