ZigBee wireless smart plug network with RSSI multi‐lateration‐based proximity estimation and parallelised machine learning capabilities for demand response

Deese, Anthony S.; Daum, Julian

doi:10.1049/iet-wss.2018.5047

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…Open a function (such as scene effect function); click the scene effect option box to check it. Then, the GUI task will call the callback function to execute the selected condition options of the checkbox control, and the LED status data mailbox will be sent out to control the lighting effect of the light control node [ 10 , 11 ].…”

Section: Software Designmentioning

confidence: 99%

Intelligent Light Control System Based on Zigbee

Wang

2022

Computational Intelligence and Neuroscience

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This system uses Freescale i.MX283 chip as the main control core of the control panel and LPC824 as the main control core of the light control point. ZigBee communication local area network is built. The ZigBee network is used to search all the nodes and display them on the control interface stably. The controller can selectively control the node and communicate with ZigBee. It supports simple and convenient human-computer interaction interface. The control panel can control RGB lamps of lamp control nodes as follows: control the light on and off, adjust the brightness of the light, toggle the color of the light, control the gradient of the light, control the flashing of RGB lamp, control timing switch of RGB lamp, realize the scene effect of the light, etc. After testing, the system is stable and applied to many lighting control occasions.

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Section: Software Designmentioning

confidence: 99%

Intelligent Light Control System Based on Zigbee

Wang

2022

Computational Intelligence and Neuroscience

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“…Since its introduction in 2006, the Zigbee specification has risen to prominence. It will eclipse the global control/sensor network standard and rule residential, medical, industrial, and commercial applications [4]. Zigbee provides two-way communications for command and control, has a 75-100 m range, and control sensors that help us accomplish various tasks.…”

Section: Operating Modes and Low Power Consumptionmentioning

confidence: 99%

Zigbee-Based Low Power Consumption Wearables Device for Voice Data Transmission

et al. 2022

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Short-range wireless technologies can transmit real-time voice, audio, picture, and video communications. Such networks’ energy usage and transmission reach are crucial, especially for portable and power autonomous devices. Voice over Zigbee technology’s goal is to create a competitive service that excels in these performance factors. IEEE standard 802.15.4 specifies two layers for low-rate WPANs: the physical layer and the media access control layer, with a data rate limit of 250 kbps. This partnership used low-level PHY and MAC layers as the foundation for developing the Zigbee network protocol, security, and applications. To overcome the problem of lowering costs and power usage to make this technology more accessible to the general public. This system displays the network’s operational data, such as wireless voice communication. This effort was made to minimize the overall cost of manufacturing such gadgets that contribute to home automation systems and related projects. The primary goal of the research was to communicate voice through low-power microcontrollers such as 8-bit microcontrollers using Zigbee. In this study, we developed a wireless sensor network (WSN) communication system based on Zigbee to securely transfer speech data over a medium-range distance (medium) and lower the equipment cost and communication expenses by 30% without compromising the data integrity. A testbed has been established to validate the fundamental functionality of the proposed ZigBee-based home network system. The suggested system’s network coverage capabilities were evaluated, as well as its packet loss and energy savings in long-term wireless network monitoring duties.

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“…Large C&I consumers utilise smart devices to receive real-time prices, facilitated by AMI, and automatically make optimal control strategies. Moreover, many appliance companies have produced smart appliances such as smart plugs and programmable temperature controllers to help residential consumers to respond automatically [18]. To attract more consumers to participate in DR, many researchers studied the optimal power usage strategies that are suitable for almost all consumer types [19,20].…”

Section: Introductionmentioning

confidence: 99%

Real‐time pricing response attack in smart grid

Liu

Tian

Yuan

et al. 2022

IET Generation Trans & Dist

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Real-time pricing is an attractive tariff for demand response programs, in which consumers could provide load flexibility by adjusting their electricity consumption in response to timevarying electricity prices. This paper reveals a new threat called real-time pricing response attack (RPRA), which manipulates consumers' electricity consumption by tampering with electricity price signals. Simulations are performed in IEEE 24-bus, 39-bus, and 118-bus systems, and the results show that 8% to 28% of the transmission lines could be overloaded by the attack, which could cause serious security problems. Results of sensitivity analysis indicate that the attack effects are influenced by various factors, such as DR models, price elasticity, line capacities etc. To defend against the RPRA attack, we have proposed various detection and mitigation strategies.

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ZigBee wireless smart plug network with RSSI multi‐lateration‐based proximity estimation and parallelised machine learning capabilities for demand response

Cited by 5 publications

References 27 publications

Intelligent Light Control System Based on Zigbee

Intelligent Light Control System Based on Zigbee

Zigbee-Based Low Power Consumption Wearables Device for Voice Data Transmission

Real‐time pricing response attack in smart grid

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