IoE: Towards application-specific technology selection

التفاصيل البيبلوغرافية
العنوان: IoE: Towards application-specific technology selection
المؤلفون: Biswajit Paul, Habib F. Rashvand, Gokul Chandra Biswas
المصدر: ITU Journal on Future and Evolving Technologies. 2:13-27
بيانات النشر: International Telecommunication Union, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Computer science, business.industry, Application specific, Artificial intelligence, business, Machine learning, computer.software_genre, computer, Selection (genetic algorithm)
الوصف: Determining the suitability of any technology for an Internet of Everything (IoE) application is essential in the presence of diverse technologies and application requirements. Some of the IoE applications include smart metering, wearables, healthcare, remote monitoring, inventory management and industrial automation. Energy efficiency, scalability, security, low-cost deployment and network coverage are some of the requirements that vary from one application to another. Wireless technologies such as WiFi, ZigBee, Bluetooth, LTE, NB-IoT, LoRa and SigFox will play crucial roles in enabling these applications. Some of the technological features are transmission range, bandwidth, data rate, security schemes and infrastructure requirements. As there is no one-size-all network solution available, the key is to understand the diverse requirements of different IoE applications and specific features offered by different IoE enabling technologies. Application-specific technology selection will ensure the best possible utilization of any technology and the quality of service requirements. An overview of network performance expectations from various IoE applications and enabling technologies, their features and potential applications are presented in this paper.
تدمد: 2616-8375
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::977a6b4d95dfa5ff24f2e912a7635657
https://doi.org/10.52953/uvov3995
حقوق: OPEN
رقم الأكسشن: edsair.doi...........977a6b4d95dfa5ff24f2e912a7635657
قاعدة البيانات: OpenAIRE