A new distributed localization algorithm for ZigBee wireless networks

Chen, J.; Wu, Xiaojun; Wen, Pei; Ye, F.; Liu, J.W.

doi:10.1109/ccdc.2009.5192347

Cited by 12 publications

(15 citation statements)

References 14 publications

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“…Sink node is coordinator of ZigBee sub-network that connect the ZigBee sub-network with Ethernet network. Routing node acts as the 'reference nodes' in literature [6]. The above nodes are static, and construct a ZigBee sub-network, localization node is embedded in miner's helmet, when miners move in the working surface, localization node act as mobile node, select existing network to join and are capable of communicating with Routing node.…”

Section: System Localization Principlementioning

confidence: 99%

“…Localization solution based on chen's algorithm can perform distributed RSSI-based locating on local nodes with an 8-bit MCU core, that make the solution can be used not only in small coal mine, but also in medium/large ones. Detailed descriptions of the algorithm can be found in literature [6], so only a brief description is given here. To reduce the computational complex, 'piecewise linear' path loss model must be established which applies only linear operation when estimating range from RSSI, and then min-max method are used to simplify coordinate calculation.…”

Section: System Localization Principlementioning

confidence: 99%

“…In literature [5], Ernesto Navarro-Alvarez presented an implementation of a localization scheme based only on the received signal strength in a ZigBee-based sensor network. In literature [6], Chen proposed a novel distributed algorithm that can be implemented based on common 8-bit MCU. In this algorithm, instead of 'log-normal', 'piecewise linear' path loss model was established, which let only linear operation when estimating range from RSSI.…”

Section: System Localization Principlementioning

confidence: 99%

“…An improved distributed RSSI-based algorithm proposed by Chen in literature [6] is adopted by the system because of lower cost and acceptable accuracy and expandability. Localization solution based on chen's algorithm can perform distributed RSSI-based locating on local nodes with an 8-bit MCU core, that make the solution can be used not only in small coal mine, but also in medium/large ones.…”

Section: System Localization Principlementioning

confidence: 99%

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Underground miners localization system based on ZigBee and WebGIS

Huang

Zhu

2010

2010 18th International Conference on Geoinformatics

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The research of fast position miners in tunnels is of great importance in that it can provide accurate information about where the miners are, and minimize the loss of the disaster. To solve the problem of localization in underground mining areas where GPS positioning is not available, underground miners localization system based on ZigBee and WebGIS technology is proposed. Underground miners are equipped with ZigBeeenabled sensor devices that have the ability to communicate, the devices determine the locations of underground miners in realtime by improved distributed RSSI (received signal strength Indicator)-based algorithm, localization information transfer to ground via ZigBee sub-network and Ethernet which acts as main data transmission channels, server in ground provide the service to display the distribution of miners in the e-map for user via browser. The system can realize localization of underground miners, and can help rescue the victims in the disaster relief work. The system is significant in coal mining industry.

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Section: System Localization Principlementioning

confidence: 99%

Section: System Localization Principlementioning

confidence: 99%

Section: System Localization Principlementioning

confidence: 99%

Section: System Localization Principlementioning

confidence: 99%

See 2 more Smart Citations

Underground miners localization system based on ZigBee and WebGIS

Huang

Zhu

2010

2010 18th International Conference on Geoinformatics

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“…Other approaches include developing different path loss models as in Refs. [15,16] and improving the estimated distances or locations through the use of maximum-likelihood estimation [17] or a Kalman filter [18]. Almost all of these methods of RSS ranging involve some sort of calibration (solving for environmental characterization values, calculating a path loss model, etc.)…”

Section: Range-based Localizationmentioning

confidence: 99%

Radio Frequency-Based Indoor Localization in Ad-Hoc Networks

Golestanian¹,

Siva²,

Poellabauer³

2017

Ad Hoc Networks

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The increasing importance of location-aware computing and context-dependent information has led to a growing interest in low-cost indoor positioning with submeter accuracy. Localization algorithms can be classified into range-based and range-free techniques. Additionally, localization algorithms are heavily influenced by the technology and network architecture utilized. Availability, cost, reliability and accuracy of localization are the most important parameters when selecting a localization method. In this chapter, we introduce basic localization techniques, discuss how they are implemented with radio frequency devices and then characterize the localization techniques based on the network architecture, utilized technologies and application of localization. We then investigate and address localization in indoor environments where the absence of global positioning system (GPS) and the presence of unique radio propagation properties make this problem one of the most challenging topics of localization in wireless networks. In particular, we study and review the previous work for indoor localization based on radio frequency (RF) signaling (like Bluetooth-based localization) to illustrate localization challenges and how some of them can be overcome.

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Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges

Khalajmehrabadi

Gatsis

Akopian

2017

IEEE Commun. Surv. Tutorials

301

176

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Abstract-Wireless Local Area Network (WLAN) has become a promising choice for indoor positioning as the only existing and established infrastructure, to localize the mobile and stationary users indoors. However, since WLAN has been initially designed for wireless networking and not positioning, the localization task based on WLAN signals has several challenges. Amongst the WLAN positioning methods, WLAN fingerprinting localization has recently achieved great attention due to its promising results. WLAN fingerprinting faces several challenges and hence, in this paper, our goal is to overview these challenges and the state-of-the-art solutions. This paper consists of three main parts: 1) Conventional localization schemes; 2) State-of-the-art approaches; 3) Practical deployment challenges. Since all the proposed methods in WLAN literature have been conducted and tested in different settings, the reported results are not equally comparable. So, we compare some of the main localization schemes in a single real environment and assess their localization accuracy, positioning error statistics, and complexity. Our results depict illustrative evaluation of WLAN localization systems and guide to future improvement opportunities.

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A new distributed localization algorithm for ZigBee wireless networks

Cited by 12 publications

References 14 publications

Underground miners localization system based on ZigBee and WebGIS

Underground miners localization system based on ZigBee and WebGIS

Radio Frequency-Based Indoor Localization in Ad-Hoc Networks

Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges

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