Realizing an IoT-Based Home Area Network Model Using ZigBee in the Global Environment

Asonye, Ekele A.; Musa, Sarhan M.; Akujuobi, Cajetan M.; Sadiku, Matthew N. O.; Foreman, J. W.

doi:10.12785/ijcds/0906011

Cited by 7 publications

(7 citation statements)

References 9 publications

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“…However, the proposed architecture uses multiple gateways named as active gateways and pseudo gateways to connect the different parts of the mesh network. An IoT‐oriented ZigBee network for HAN was developed and evaluated in Asonye et al 29 The authors have presented simulation results for star, tree, and mesh topologies. Even though the ZigBee networks are predominately built as mesh networks, the results presented in Asonye et al 29 show that star topologies achieve the minimum delay.…”

Section: Related Workmentioning

confidence: 99%

Wi‐Fi 6‐based home area network for demand response in smart grid

Edirisinghe,

Wijethunge,

Ranaweera

2024

Int J Communication

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SummaryThe past decade has brought prolific developments to power systems that range from large‐scale renewable integration to digital twins. Modern power systems consist of highly variable generation clusters. Hence, monitoring and prediction of power generation has become a vital part of today's power systems. On the other hand, detailed real‐time information of power usage is also a key parameter for the control algorithms used for the demand side management. With this information flow, power systems become smart grids which offer improved service and enable many advanced operations. In this regard, the home area network (HAN), which collects the power consumption/generation of household devices, plays a key role. So far, a number of technologies such as ZigBee, Z‐Wave, and Power Line Communication (PLC) have been considered for the HAN. Yet, widely used wireless local area network (WLAN) technology, Wi‐Fi, was not identified as a prominent candidate due to the limitations in its latency and reliability. However, with the introduction of the IEEE 802.11ax standard, Wi‐Fi 6 was developed, and it demonstrates guaranteed latency and reliability for its users. Thus, with its widespread deployment in households, Wi‐Fi is becoming a natural candidate for HAN. In this article, we present a comprehensive HAN protocol based on Wi‐Fi 6 which can achieve guaranteed latency and reliability for HAN users. The results show that when an efficient resource allocation mechanism is in place, using Wi‐Fi for HAN does not adversely affect the other Wi‐Fi users in the normal WLAN.

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Section: Related Workmentioning

confidence: 99%

Wi‐Fi 6‐based home area network for demand response in smart grid

Edirisinghe,

Wijethunge,

Ranaweera

2024

Int J Communication

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“…Obviously, the packet delivery time is of importance in all sorts of networks. Therefore, AQM is recommended by researchers and engineers for wired networks [1,2], wireless sensor networks [3][4][5], LTE and 5G networks [6,7], mobile ad hoc networks [8,9], satellite networks [10,11], and others.…”

Section: Introductionmentioning

confidence: 99%

Level-Crossing Characteristics of an Actively Managed Buffer

Chydzinski

2024

JSAN

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In this paper, we examine a buffer with active management that rejects packets basing on the buffer occupancy. Specifically, we derive several metrics characterizing how effectively the algorithm can prevent the queue of packets from becoming too long and how well it assists in flushing the buffer quickly when necessary. First, we compute the probability that the size of the queue is kept below a predefined level L. Second, we calculate the distribution of the amount of time needed to cross level L, the buffer overflow probability, and the average time to buffer overflow. Third, we derive the distribution of the amount of time required to flush the buffer and its average value. A general modeling framework is used in derivations, with a general service time distribution, general rejection function, and a powerful model of the arrival process. The obtained formulas enable, among other things, the solving of many design problems, e.g., those connected with the design of wireless sensor nodes using the N-policy. Several numerical results are provided, including examples of design problems and other calculations.

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“…A proof of concept for an IoT-based HAN "Home Area Network" in a worldwide setting employing ZigBee protocol as a smart data gathering component. The ZigBee network platform is used in a simulation research with various topologies and configurations that takes place in a worldwide setting is presented in [31]. The main goal of this survey [32] is to provide an overview of continuous authentication techniques used in an Internet of Things environment.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Encrypt/Decrypt Algorithm in IOT regarding home data Privacy and Security

Mohammed¹,

Nourildean²

2023

IJCDS

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Citizens and urban settings have benefited significantly from major advances in new life and services provided by smart homes (SHs), which are fully capable of controlling physical objects in real time, collecting very sensitive information, and delivering intelligent data to citizens in many fields, such as transportation, healthcare, smart buildings and parking, public safety, traffic systems, and smart agriculture. The architecture, on the other hand, may encounter a variety of security and privacy challenges at multiple levels.It is in the applied experimental session testing the performance of various machine learning (ML) models for threat detection that one may get a thorough grasp of where and how Data Science can offer value to IoT network security. The findings serve as a foundation for illustrating the advantages of integrating new technology for the purpose of forecasting risks and concerns. Implementing machine learning into intelligent security systems, in addition, increases the requirement for a multi-disciplinary strategy and data infrastructure to manage the whole lifespan of a security product (Software Engineering end-to-end, including ML and Data DevOps). In this paper, we give an intelligent security algorithm for home data privacy and security in IoT. Experiments using the publicly available IoT-23 dataset, which contains labeled information on malicious and benign IoT network traffic, are used to complete the case study. The benign situations were received directly from the actual hardware and were not faked in any way or form. This enabled real-time network activity to be observed and evaluated. Therefore, models provide accurate outputs that may be used to forecast and identify vulnerabilities on Internet of Things-based systems. Furthermore, the lab might be expanded to accommodate the development of commercial and industry demos to demonstrate the benefits of building intrusion detection systems that use machine learning algorithms.

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Realizing an IoT-Based Home Area Network Model Using ZigBee in the Global Environment

Cited by 7 publications

References 9 publications

Wi‐Fi 6‐based home area network for demand response in smart grid

Wi‐Fi 6‐based home area network for demand response in smart grid

Level-Crossing Characteristics of an Actively Managed Buffer

An Intelligent Encrypt/Decrypt Algorithm in IOT regarding home data Privacy and Security

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