Research on distance measurement based on RSSI of ZigBee

Zhang, Jianwu; Zhang, Lu

doi:10.1109/cccm.2009.5267883

Cited by 52 publications

(26 citation statements)

References 1 publication

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“…In the field test, several n RSSI values are read and then an average value is taken as in [10], being this methodology called Statistical Mean Value Model (SMVM) model [11]. The final RSSI value is given by: The RSSI value only reflects the received signal strength of the last message hop, and not the signal strength of all the routers (multihops) neither the general quality of the transmission.…”

Section: Zigbee Module Signal Validationmentioning

confidence: 99%

Wireless Monitoring of Urban Wind Turbines by ZigBee Protocol: Support Application Software and Sensor Modules

Batista

Melício

Mendes

et al. 2014

Procedia Technology

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This paper is about wireless monitoring of an urban vertical axis wind turbine, focusing on the layered system used for the computational framework of sensors, data acquisition, data processing and storage system interconnectivity. A low power wireless networks employing ZigBee protocol is used for the sensors modules connectivity. A voltage and current sensor and an infrared photoelectric sensor developed for the monitoring are succinctly described. The usability in a Smart Grid environment were taken in consideration in the design of the modules, wireless networks creation and the computation engineering.

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Section: Zigbee Module Signal Validationmentioning

confidence: 99%

Wireless Monitoring of Urban Wind Turbines by ZigBee Protocol: Support Application Software and Sensor Modules

Batista

Melício

Mendes

et al. 2014

Procedia Technology

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“…An RSSI-based localization methodology can be implemented without special hardware on many existing devices, and for that reason it is a very flexible and much studied methodology for approximating the distances between nodes. The use of RSSI for node localization is studied, for example, in articles [7][8] [9]. Sensor network diagnostics and visualization is discussed in [10].…”

Section: Related Workmentioning

confidence: 99%

CiNetView - Graphic Interface for Wireless Sensor Network Deployment and Monitoring

Hakala

Hongell

Luomala

2010

2010 Fourth International Conference on Sensor Technologies and Applications

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Reliable communication is crucial for successful deployment of a wireless sensor network. Many environmental factors can affect the performance of radio links, and the deployment of a network without real-time information about link qualities can be a demanding task. This paper describes the CiNetView application that is intended to support the deployment and monitoring of wireless sensor network. CiNetView is based on diagnostic information collected by sensor nodes, and it allows the user to see a graphical presentation of the network topology and to monitor the network diagnostic information in real time.

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“…Recent advancements in the direction of increasing distance measurement accuracy [20] have shown that using Gauss model for processing RSSI data it is practical to assume that distance error will be within 7 to 17% of actual distance. We now formulate the problem that we have tried to solve.…”

Section: Problem Statementmentioning

confidence: 99%

“…It is worth noting that there are few nodes like one near to (20,30), which do not have a singular feasibility region. The cause of this flip ambiguity is non availability of three non collinear nodes in the communication range and has already been discussed in detail in [18].…”

Section: Performance Analysismentioning

confidence: 99%

RSSI WSN localization with Analysis of Energy Consumption and Communication

Kotwal¹,

Verma²,

Abrol³

2012

IJCA

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Distance based localization techniques have always been of interest among researchers. The free received signal strength index (RSSI) requires no extra hardware for distance measurement. Authors in this paper assume that RSSI based distance estimation technique will have some error due to noisy RSSI readings. The localization algorithm proposed here takes into account this error and localizes a WSN in three stages. Due to this error in distance, nodes in neighbor of three anchor nodes determine their uncertainty region with some accuracy and become virtual anchors. These nodes then help other nodes in the network to determine their region. These non virtual anchor nodes collaborate among themselves to further decrease the size of uncertainty region. The collaborative nature of nodes is exploited to increase the accuracy and precision of localization. The authors in this paper have used only three anchor nodes to localize a full blown Wireless Sensor Network (WSN) of 100 nodes with better accuracy compared to existing techniques using RSSI till date. Authors also analyze the energy and communication cost involved in localization process.

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Research on distance measurement based on RSSI of ZigBee

Cited by 52 publications

References 1 publication

Wireless Monitoring of Urban Wind Turbines by ZigBee Protocol: Support Application Software and Sensor Modules

Wireless Monitoring of Urban Wind Turbines by ZigBee Protocol: Support Application Software and Sensor Modules

CiNetView - Graphic Interface for Wireless Sensor Network Deployment and Monitoring

RSSI WSN localization with Analysis of Energy Consumption and Communication

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