The ZigBee Based Wireless Sensor and Actor Network in Intelligent Space Oriented to Home Service Robot

Lu, Fei; Tian, Guohui

doi:10.4236/ijcns.2012.55037

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Zigbee has the characteristics of a low-rate, low-cost, lowenergy-consumption protocol for wireless sensor networks. The amount of sensor data for indoor and outdoor control command services requires low energy consumption [20].…”

Section: B Zigbeementioning

confidence: 99%

RSSI Measurement Analysis of Zigbee-Based Wireless Sensor Networks in Various Topologies for Solar Panel Monitoring

Setiabudi,

Atmaja,

Herdiyanto

et al. 2024

JTE

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Abstract— Solar panels require performance monitoring when energy shortages occur in the area. Monitoring solar panels requires a detection device to detect solar panels, including the ACS712 current sensor for monitoring the output current of the solar panel, a DC voltage sensor for monitoring battery performance, and a DHT11 temperature sensor for monitoring the temperature of the solar panel storage battery. The WSN technology that can work is ZigBee communication. This ZigBee communication research uses various topology methods, including star, tree, and mesh topologies. Solar panel monitoring tests are carried out indoors and outdoors. The ZigBee communication device used is the XBee S2C device, which operates at a frequency of 2.4 GHz. From a comparison of various topologies, the mesh topology is a topology with good performance because it has the characteristic of choosing a router with the fastest path to reach the coordinator. It is proven by monitoring solar panels with an optimal distance of 80 m, which is carried out from outdoors with an RSSI value of -84 dBm, a throughput of 0.55 kbps, and a delay of 2.77 ms, producing power for 150 minutes with an average current of 0.14 A, voltage of 9.86 V, and temperature of 31.48°C. The number of disturbances and weather conditions greatly affect signal propagation, which can hamper the data transmission process. Throughput fluctuates due to uncertain weather conditions, and delay fluctuates due to a lot of interference from other radio signals. Keyworrds— Wireless Sensor Nirbael (WSN), RSSI, ZigBee, Panel Surya, Thinger.IO

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Section: B Zigbeementioning

confidence: 99%

RSSI Measurement Analysis of Zigbee-Based Wireless Sensor Networks in Various Topologies for Solar Panel Monitoring

Setiabudi,

Atmaja,

Herdiyanto

et al. 2024

JTE

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“…Byun, et al [11] have made an investigation on a Zigbee-based simulation process on a safeguarding sensor system for the real-time monitoring of wireless fire detection nodes. Intelligent-based bridging components in the space where the distributed services have been working seamlessly and where the robots are sharing the missing information in the intelligent space [12]. The use of blockchain technology in an IoT-based automated dynamic emergency response system for energy distribution can improve the efficiency, reliability, and security of energy distribution, leading to a more sustainable and resilient energy ecosystem [13].…”

Section: Development Of Iot-based Fire Hazard Solutionsmentioning

confidence: 99%

Development of IoT-Based Automated Dynamic Emergency Response System Against Fire Incidents in Academic Building

Zakaria Al-Hady,

Islam,

Rashid

2023

IJEMM

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The ongoing advancement of architectural and structural designs, high-ceiling spaces, special spaces have made fire disasters increasingly diverse and difficult to predict. It is demanding the need for improved firefighting systems. This study aims to address the need for improved firefighting systems in academic building by proposing the development of an IoT-based automated emergency response website. The proposed system leverages IoT technology, wireless and bluetooth sensor networks to gather real-time data from various sensors and devices installed in the site and uses machine learning algorithms to predict and prevent potential fire incidents. The system also includes an emergency response website that allows users to access real-time information about the fire incident, location, severity, and evacuation instructions. Additionally, the proposed system incorporates Building Information Modelling (BIM) to optimize evacuation and rescue routes, providing early detection and accurate alarm capabilities, evacuation guidance for endangered individuals, and guidance for firefighters. The integration of BIM allows the system to provide a three-dimensional visualization of the site, enabling a more efficient and effective response to fire incidents. Overall, the proposed system aims to improve the safety and security through real-time monitoring and response capabilities. By leveraging the power of IoT technology, machine learning algorithms and BIM, the proposed system aims to reduce the impact of fire disasters by providing accurate and timely information, route optimization and facilitating effective evacuation and rescue efforts.Keywords: Building Information Modeling, IoT, Sensor, Dijkstra Algorithm, Simulation

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“…With recent advances in low‐cost devices and wireless communications, wireless networked control systems (WNCS) have emerged for a number of applications such as environment monitoring, industrial process control, multi‐robot control, home automation, and remote health care . In many cases, for example, sensor‐robot networks, sensors, and actuators reside at different spatial locations . Sensors are deployed to measure the physical plant state and transmit the measurements to some remote controllers through the wireless media where the transmissions may be unreliable because of factors such as path fading, environmental noise, or interference.…”

Section: Introductionmentioning

confidence: 99%

Optimal controller location in wireless networked control systems

Xin

Cao

Chen

et al. 2013

Intl J Robust & Nonlinear

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SUMMARYThe control performance of wireless networked control systems (WNCS) has been shown to heavily depend on the packet delivery quality of both the sensor‐to‐controller and controller‐to‐actuator communications. Such quality relies on the relative distance between the wireless transmitter and receiver, which naturally raises the challenging problem of controller placement in WNCS for optimal control performance. In this paper, we investigate the optimal controller location (OCL) problem in WNCS based on linear‐quadratic‐Gaussian control strategy. For the one‐hop network case where the controller can only be placed at either the sensor side or the actuator side, we derive a simple yet effective criterion to determine the OCL. For the more general multi‐hop case where the controller can be located at either one of the sensors, relays, or actuators, we obtain the necessary and sufficient condition under which the closed‐loop system is guaranteed to be stable. On the basis of these results, we further transform the OCL problem into an optimization problem that can be solved efficiently. Numerical results are provided to verify our analysis. Copyright © 2013 John Wiley & Sons, Ltd.

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The ZigBee Based Wireless Sensor and Actor Network in Intelligent Space Oriented to Home Service Robot

Cited by 8 publications

References 13 publications

RSSI Measurement Analysis of Zigbee-Based Wireless Sensor Networks in Various Topologies for Solar Panel Monitoring

RSSI Measurement Analysis of Zigbee-Based Wireless Sensor Networks in Various Topologies for Solar Panel Monitoring

Development of IoT-Based Automated Dynamic Emergency Response System Against Fire Incidents in Academic Building

Optimal controller location in wireless networked control systems

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