Zobrazeno 1 - 10
of 409
pro vyhledávání: '"Low-power and lossy networks"'
Autor:
Alaa Eddine Khalfoune, Rachid Beghdad
Publikováno v:
Acta Informatica Pragensia, Vol 13, Iss 3, Pp 340-358 (2024)
The increasing reliance on Low-power and Lossy Networks (LLN) in the Internet of Things (IoT) and their vulnerability to various attacks have made their protection necessary. Most of the proposed approaches to protecting such networks neither support
Externí odkaz:
https://doaj.org/article/75ddb5b014fa43ba9d1e92c3478364d2
Publikováno v:
IEEE Access, Vol 12, Pp 117218-117255 (2024)
In a Low-power and Lossy Network (LLN), owing to its unique characteristics, such as lossy channels, dynamically changing network topology and resource-constrained nodes, finding a global optimum path to deliver packets efficiently and reliably is a
Externí odkaz:
https://doaj.org/article/3236f0c3e9e24e7ab655273ce0203e39
Autor:
Hanin Almutairi, Ning Zhang
Publikováno v:
Network, Vol 4, Iss 1, Pp 1-32 (2024)
Low-Power and Lossy Networks (LLNs) have grown rapidly in recent years owing to the increased adoption of Internet of Things (IoT) and Machine-to-Machine (M2M) applications across various industries, including smart homes, industrial automation, heal
Externí odkaz:
https://doaj.org/article/b6e96e7883b64712b14328b1131d4951
Autor:
Mohamed Sithik M,, Muthu Kumar B
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 3, Pp 959-966 (2024)
Congestion control is among the most challenging tasks in enhancing QoS in the Internet of Things (IoT). Currently, wireless networks are able to have a large number of connections but with a limited amount of network resources. Consequently, congest
Externí odkaz:
https://doaj.org/article/fc2273b0c94348d7bddcb42998327ce2
Autor:
Carlos Lester Duenas Santos, Ahmad Mohamad Mezher, Juan Pablo Astudillo León, Julian Cardenas Barrera, Eduardo Castillo Guerra, Julian Meng
Publikováno v:
Sensors, Vol 24, Iss 15, p 4818 (2024)
Efficient and reliable data routing is critical in Advanced Metering Infrastructure (AMI) within Smart Grids, dictating the overall network performance and resilience. This paper introduces Q-RPL, a novel Q-learning-based Routing Protocol designed to
Externí odkaz:
https://doaj.org/article/59e8fe2c0f384f0092be0ce33d1f897f
Autor:
Shadi Al-Sarawi, Mohammed Anbar, Basim Ahmad Alabsi, Mohammad Adnan Aladaileh, Shaza Dawood Ahmed Rihan
Publikováno v:
IEEE Access, Vol 11, Pp 94081-94093 (2023)
An Internet of Things (IoT) refers to a network of smart devices that enable data collection and exchange. RPL is a protocol specifically designed for IPv6 over Low Power Wireless Personal Area Networks (6LoWPAN) to bring the concept of IoT into real
Externí odkaz:
https://doaj.org/article/2902d7b36788408bbed21ed57a2ca0a1
Autor:
Carlos Lester Duenas Santos, Ahmad Mohamad Mezher, Juan Pablo Astudillo Leon, Julian Cardenas Barrera, Eduardo Castillo Guerra, Julian Meng
Publikováno v:
IEEE Access, Vol 11, Pp 57401-57414 (2023)
This research explores the potential of Machine Learning (ML) to enhance wireless communication networks, specifically in the context of Wireless Smart Grid Networks (WSGNs). We integrated ML into the well-established Routing Protocol for Low-Power a
Externí odkaz:
https://doaj.org/article/c44f0a31f2f447f0bbf5fcd63bb469ec
Publikováno v:
Sensors, Vol 24, Iss 6, p 1775 (2024)
The Internet of Things (IoT) is empowering various sectors and aspects of daily life. Green IoT systems typically involve Low-Power and Lossy Networks (LLNs) with resource-constrained nodes. Lightweight routing protocols, such as the Routing Protocol
Externí odkaz:
https://doaj.org/article/d17ea5189f6940598276d345e67691f1
Publikováno v:
International Journal of Pervasive Computing and Communications, 2021, Vol. 18, Issue 4, pp. 419-436.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-08-2020-0118