Wireless IoT Network Protocols II
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 12060
Special Issue Editor
Interests: formal methods; timed probabilistic systems; hybrid system; cyber-physical systems; IoT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the Internet of Things (IoT) paradigm, smart devices equipped with embedded technology automatically collect information from shared resources (e.g., Internet accesses, physical devices, etc.) and aggregates it to provide new services to end users. The “things” commonly deployed in IoT systems are RFID tags, for unique identification; sensors, to detect physical changes in the environment; and actuators, to pass on information to the environment. The range of IoT applications is rapidly increasing and already covers several domains, including environmental monitoring, healthcare, personal and social, security and surveillance, smart environments (home, offices, cities), transportation, and logistics (automotive). The practical development is driven by the evolution of the wireless networking technologies, which are facing a number of challenges.
The main aim of this Special Issue is to seek high-quality submissions focusing on theoretical and practical aspects of wireless IoT network protocols, including performance evaluation, simulation, and testbed.
Dr. Ruggero Lanotte
Guest Editor
Manuscript Submission Information
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Keywords
- internet of things wireless network protocols
- models
- performance evaluation
- simulation
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Evaluation of 60 GHz Wireless Connectivity for an Automated Warehouse Suitable for Industry 4.0
Authors: Rahul Gulia; Abhishek Vashist; Amlan Ganguly; Clark Hochgraf; Michael E. Kuhl
Affiliation: Rochester Institute of Technology
Abstract: The fourth industrial revolution focuses on the digitization and automation of supply chains resulting in a significant transformation of methods for goods production and delivery systems. To enable this, automated warehousing is demanding unprecedented vehicle-to-vehicle and vehicle-to-infrastructure communication rates and reliability. The 60 GHz frequency band can deliver multi-gigabit/second data rates to satisfy the increasing demands of network connectivity by smart warehouses. In this paper, we aim to investigate the network connectivity in the 60 GHz millimeter wave band inside an automated warehouse. A key hindrance to robust and high-speed network connectivity, especially, at mmWave frequencies stems from numerous non-line-of-sight (nLOS) paths in the transmission medium due to various interacting objects such as metal shelves and storage boxes. The continual change in the warehouse storage configuration significantly affects the multipath reflected components and shadow-fading effects, thus adding complexity to establishing stable, yet fast, network coverage. In this study, network connectivity in an automated warehouse is analyzed at 60 GHz using Network Simulator-3 channel simulations. We examine a simple warehouse model with several metallic shelves and storage materials of standard proportions. Our investigation indicates that the indoor warehouse network performance relies on the line-of-sight and nLOS propagation paths, the existence of reflective materials, and the autonomous material handling agents present around the access point (AP). In addition, we discuss the network performance under varied conditions including the AP height and storage materials on the warehouse shelves. We also analyze the network performance in each aisle of the warehouse in addition to its SINR heatmap to understand the 60 GHz network connectivity.
Title: Blockchain-Enabled Agriculture: Employing IoT and AI for Better Data Management, Traceability, and Trustworthy
Authors: Ali Mansour
Affiliation: Lab STICC, ENSTA Bretagne, Brest 29200, France
Abstract: The integration of Internet of Things (IoT), artificial intelligence (AI), and blockchain technology is revolutionizing the agricultural industry. This paper explores the application of these technologies in smart agriculture, focusing on data management, traceability, and trustworthiness. The IoT-enabled smart agriculture ecosystem is presented, incorporating various IoT devices such as wireless sensors, IoT-based tractors, harvesting robots, smartphones, and UAVs for data collection and monitoring. Advanced agricultural practices, including genetic modification, greenhouse farming, vertical farming, and hydroponic systems, are discussed as solutions to enhance food production. Challenges in IoT implementation, including economic efficiency and technical issues, are addressed. The role of AI in smart agriculture is explored, highlighting its potential for increasing efficiency, productivity, and sustainability. Storage solutions, such as cloud platforms, edge computing, and blockchain, are presented for secure data management. The Challenges of implementing blockchain in agriculture are also discussed, including proof of ownership and investment. The project workflow is detailed, encompassing account registration, element and project creation, verification, rewards, and tasks. The paper concludes by emphasizing the transformative impact of these technologies on agriculture, while acknowledging the need for further research and development to ensure effective integration and realization of their benefits.