A ZigBee-Based Wireless Sensor Network Node for Ultraviolet Detection of Flame

Cheong, Pedro; Chang, Ka-Fai; Lai, Ying-Hoi; Ho, Sut‐Kam; Sou, Iam Keong; Tam, Kam‐Weng

doi:10.1109/tie.2011.2119455

Cited by 112 publications

(47 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…ronmental monitoring, warfare, child education, surveillance, microsurgery, and agriculture [1]- [3]. In almost all of these applications, localization always performs a very important role, and thus, unsurprisingly new ideas appear continuously.…”

mentioning

confidence: 99%

Localization Bias Reduction in Wireless Sensor Networks

et al. 2015

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

In this paper, a novel bias-reduction method is proposed to analytically express and reduce the bias arising in sensor network localization problems, thereby improving the localization accuracy. The proposed bias-reduction method mixes Taylor series and a maximum-likelihood estimate and leads to an easily calculated analytical bias expression in terms of a known maximumlikelihood cost function. In contrast to existing contributions, this paper considers a sensor network as a whole when the bias is investigated by introducing the geometric structure of the sensor network into the proposed biasreduction method via the rigidity matrix, a concept drawn from graph theory. The maximum-likelihood cost function is related to the rigidity matrix resulting in the final analytical expression of localization bias in terms of the rigidity matrix. Another important contribution of this paper is that, in addition to the presented simulation results, experimental results obtained by using a wireless localization system, which is developed based on reconfigurable software-defined radios (SDRs), are also provided to verify the performance of the proposed bias-reduction method. Both the simulation and experimental results demonstrate that the proposed method can reduce the bias, thereby improving the localization accuracy in different scenarios.

show abstract

mentioning

confidence: 99%

Localization Bias Reduction in Wireless Sensor Networks

et al. 2015

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

show abstract

“…Cheong et al [4] proposed a system for ultraviolet (UV) flame detection with wireless sensor network node based on zigbee. Fig 2 explains this concept.…”

Section: Related Workmentioning

confidence: 99%

A study paper on power management in electrical devices using Zigbee network

Das¹,

Ganesh²

2015

2015 IEEE International Advance Computing Conference (IACC)

View full text Add to dashboard Cite

This paper deals with the study of the control mechanism and the practical application of electrical appliances using an android phone in a Zigbee network. The system measures the voltage and current parameters of electric devices and thus helps to view the power consumed. The proposed system is a flexible system which provides an efficient and effective control mechanism from a remote location. The system also focuses on voice based control and thus helps to save the electricity expense of the consumers. The other alternatives to zigbee are also discussed in the paper.Index Terms-Energy management, home automation, intelligent control system, wireless sensor network, zigbee.

show abstract

“…Different studies have designed and built nodes for testing particular protocols or applications [10][11][12][13][14][15]. However, they do not provide information regarding energy use during transmission or reception.…”

Section: Related Workmentioning

confidence: 99%

OTS-WSN: A Wireless Sensor Network implemented with off-the-shelf components

Chain

Sara

Arias

et al. 2013

2013 IEEE Symposium on Wireless Technology &Amp; Applications (ISWTA)

View full text Add to dashboard Cite

Research in Wireless Sensor Networks (WSNs) is vast and there are several hardware platforms, many of them compatible with IEEE802.15.4 standard. However, commercial platforms have limited access to modify network parameters in order to test or improve network performance. The paper shows one prototype WSN for temperature monitoring implemented with inexpensive, Off-The-Shelf electronic components (OTS-WSN). The network has five nodes programmed using C language. Each node employs HopeRF RFM12B radio transceiver and Microchip PIC 16F783A microcontroller. This hardware combination is not reported in the literature. Tests performed on OTS-WSN nodes show similar energy use to commercial devices. Our nodes use 14 mA for reception, 3 mA with radio off and 26 mA for transmission with 0dBm power. OTS-WSN features inexpensive, easy to build hardware platforms. The prototype obtained 5% packet loss with a very simple MAC protocol, thus creating space for improvement and protocol testing in a platform where researchers have access to every detail of hardware and software implementation.

show abstract

A ZigBee-Based Wireless Sensor Network Node for Ultraviolet Detection of Flame

Cited by 112 publications

References 19 publications

Localization Bias Reduction in Wireless Sensor Networks

Localization Bias Reduction in Wireless Sensor Networks

A study paper on power management in electrical devices using Zigbee network

OTS-WSN: A Wireless Sensor Network implemented with off-the-shelf components

Contact Info

Product

Resources

About