The growth of the global population coupled with a decline in natural resources, farmland, and the increase in unpredictable environmental conditions leads to food security is becoming a major concern for all nations worldwide. These problems are motivators that are driving the agricultural industry to transition to smart agriculture with the application of the Internet of Things (IoT) and big data solutions to improve operational efficiency and productivity. The IoT integrates a series of existing state-of-the-art solutions and technologies, such as wireless sensor networks, cognitive radio ad hoc networks, cloud computing, big data, and end-user applications. This study presents a survey of IoT solutions and demonstrates how IoT can be integrated into the smart agriculture sector. To achieve this objective, we discuss the vision of IoT-enabled smart agriculture ecosystems by evaluating their architecture (IoT devices, communication technologies, big data storage, and processing), their applications, and research timeline. In addition, we discuss trends and opportunities of IoT applications for smart agriculture and also indicate the open issues and challenges of IoT application in smart agriculture. We hope that the findings of this study will constitute important guidelines in research and promotion of IoT solutions aiming to improve the productivity and quality of the agriculture sector as well as facilitating the transition towards a future sustainable environment with an agroecological approach.
The history of human development has proven that medical and healthcare applications for humanity always are the main driving force behind the development of science and technology. The advent of Cloud technology for the first time allows providing systems infrastructure as a service, platform as a service and software as a service. Cloud technology has dominated healthcare information systems for decades now. However, one limitation of cloud-based applications is the high service response time. In some emergency scenarios, the control and monitoring of patient status, decision-making with related resources are limited such as hospital, ambulance, doctor, medical conditions in seconds and has a direct impact on the life of patients. To solve these challenges, optimal computing technologies have been proposed such as cloud computing, edge computing, and fog computing technologies. In this article, we make a comparison between computing technologies. Then, we present a common architectural framework based on fog computing for Internet of Health Things (Fog-IoHT) applications. Besides, we also indicate possible applications and challenges in integrating fog computing into IoT Healthcare applications. The analysis results indicated that there is huge potential for IoHT applications based on fog computing. We hope, this study will be an important guide for the future development of fog-based Healthcare IoT applications.
Device-to-Device (D2D) is one of the emerging technologies expected to have significant contributions to the future of the Internet. The combination of personal mobile devices and D2D communications forms the Mobile Ad-hoc Network architecture, called MANETs. Nowadays, due to the flexibility and simplicity of establishing data transmission, MANETs are applied in various areas such as healthcare, intelligent transportation systems, tactical, smart retail, and smart agriculture. In practice, due to the mobility of network nodes, the network structure often changes, and the performance of MANETs is relatively low. Routing is one of the significant challenges of MANETs. In this study, we perform a comprehensive analysis of the traditional routing protocols for MANETs. Based on the analysis results, we obtained a common framework for designing routing protocols for MANETs. To visualize the efficiencies of protocols under variable network traffic, we performed a simulation to compare the performance of typical protocols, including AODV, DSR, and OLSR. The obtained results again demonstrated that on-demand-based routing protocols are suitable for dynamic topology networks. We hope that this work will be an essential guide in researching and proposing energy-saving, secure, and QoS routing protocols for MANETs in the future.
The advent of ÿ þý generation communication systems (5G) in the early ÿ ýþ century has realized real-time Internet of Things applications. 5G has capable of providing network services with extremely-high throughput and extremely low delay and allows a huge device number to connect together based on Internet infrastructure, forming the Internet of Things (IoT). In recent years, IoT has been applied in a variety of fields serving humans, such as smart cities, smart agriculture, e-healthcare, smart education, military, and IoT ecosystems. One of the main challenges of IoT applications is computing solutions to reduce service response times. In this study, we propose an Edge Computing Collaboration Solution for the Internet of Vehicles (IoV). Our solution proposes a small database that allows edge computing servers of IoVs to store each other's information. When the mobile end-users move to the new edge servers' managed coverage, properties related to the EC service are exchanged between the edge servers. The results have shown that our proposed solution improves significantly service response time, by up to 10-20%, compared to the existing solutions. Index Terms45G, Internet of Things, Edge Computing, Internet of Vehicles (IoVs).
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