scholarly journals Implementing a Distance Estimator for a Wildlife Tracking System Based on 802.15.4

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1438
Author(s):  
Daniel Cascado-Caballero ◽  
Lourdes Duran-Lopez ◽  
Juan Pedro Dominguez-Morales ◽  
Daniel Gutierrez-Galan ◽  
Claudio Amaya-Rodriguez ◽  
...  

In this work, a novel distance estimation mechanism using received signal strength indication (RSSI) signals with ZigBee modules is designed, implemented and tested in several scenarios. This estimator was used for a research project focused on a wildlife behavioral classification system deployed in Doñana’s National Park. As a supporting feature for that project, this work was implemented for locating animal’s collars acting as wireless nodes in order to find those who went outside of the coverage area of the network or that were accidentally detached from animals. This work describes the system architecture and the implementation of a mobile assistant capable of recovering devices located beyond the coverage of the network. The analytical model needed for distance estimation and the signal filtering are described, as well as the difficulties that the researchers must deal when building robust location estimators. This theoretical model was applied to three different scenarios and tested with two validation experiments.

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 35
Author(s):  
Jae-Min Shin ◽  
Yu-Sin Kim ◽  
Tae-Won Ban ◽  
Suna Choi ◽  
Kyu-Min Kang ◽  
...  

The need for drone traffic control management has emerged as the demand for drones increased. Particularly, in order to control unauthorized drones, the systems to detect and track drones have to be developed. In this paper, we propose the drone position tracking system using multiple Bluetooth low energy (BLE) receivers. The proposed system first estimates the target’s location, which consists of the distance and angle, while using the received signal strength indication (RSSI) signals at four BLE receivers and gradually tracks the target based on the estimated distance and angle. We propose two tracking algorithms, depending on the estimation method and also apply the memory process, improving the tracking performance by using stored previous movement information. We evaluate the proposed system’s performance in terms of the average number of movements that are required to track and the tracking success rate.


2015 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
Nila Feby Puspitasari ◽  
Reza Pulungan

Penempatan access point pada jaringan Wi-Fi yang tepat sangat diperlukan untuk mengoptimalkan kekuatan sinyal yang diterima dari transmitter terhadap receiver. Parameter yang paling mempengaruhi dalam menentukan performa access point adalah nilai kekuatan sinyal, karena nilai inilah yang akan digunakan untuk menentukan coverage area (cakupan sinyal) dari sebuah transmitter (access point).Pada penelitan ini telah dilakukan pengukuran terhadap kekuatan sinyal access point terhadap penerima di ruang dosen dan lobi gedung 2 lantai 1 STMIK AMIKOM Yogyakarta yang diukur menggunakan aplikasi inSSIDer dan menghasilkan nilai RSSI (Received Signal Strength Indication) dari sebuah transmitter terhadap receiver. Dalam pengukuran juga digunakan propagasi Line Of Sight (LOS) dan propagasi Non Line Of Sight (NLOS). Data yang diperoleh dari hasil pengukuran di lapangan digunakan untuk melakukan pemodelan penempatan access point menggunakan metode simulated anneling. Kekuatan sinyal RSSI yang diterima oleh receiver tidak hanya bergantung pada jarak antara transmitter dan receiver, akan tetapi menunjukkan variasi yang besar terhadap fading dan shadowing pada sebuah lokasi, juga pengaruh interferensi dapat menyebabkan penurunan sinyal (RSSI) yang diterima oleh receiver.Dari hasil penelitian yang dilakukan, diharapkan dapat menghasilkan pemodelan yang sesuai dan tepat guna dalam melakukan optimisasi penempatan access point pada jaringan Wi-Fi menggunakan metode simulated annealing.Access point placement on Wi-Fi networks is needed to optimize the strength of signal received by receiver from transmitter. The most influential parameter in determining the performance of access point position is signal strength, because this value will be used to determine the coverage area of a transmitter.In this research, signal strengths of access point to receiver in the faculty room and the lobby floor 1 of building 2 at STMIK AMIKOM Yogyakarta have been measured using inSSIDer application and results in the values of RSSI from transmitter to receiver. Also measured are LOS propagation and NLOS propagation. Data obtained from the field measurements are used to model and analyse the influence of access point placement using simulated annealing. It is found that the RSSI signal strength received by the receiver does not only depend on the distance between the transmitter and receiver, but also shows large variations caused by the fading and shadowing at a location. The interference also causes a decrease in the signal (RSSI) received by the receiver.The research conducted is expected to generate an appropriate model and analysis for further optimization of access point position on Wi-Fi network using simulated annealing.


Author(s):  
Abdallah Naser ◽  
Ahmad Lotfi ◽  
Joni Zhong

AbstractHuman distance estimation is essential in many vital applications, specifically, in human localisation-based systems, such as independent living for older adults applications, and making places safe through preventing the transmission of contagious diseases through social distancing alert systems. Previous approaches to estimate the distance between a reference sensing device and human subject relied on visual or high-resolution thermal cameras. However, regular visual cameras have serious concerns about people’s privacy in indoor environments, and high-resolution thermal cameras are costly. This paper proposes a novel approach to estimate the distance for indoor human-centred applications using a low-resolution thermal sensor array. The proposed system presents a discrete and adaptive sensor placement continuous distance estimators using classification techniques and artificial neural network, respectively. It also proposes a real-time distance-based field of view classification through a novel image-based feature. Besides, the paper proposes a transfer application to the proposed continuous distance estimator to measure human height. The proposed approach is evaluated in different indoor environments, sensor placements with different participants. This paper shows a median overall error of $$\pm 0.2$$ ± 0.2  m in continuous-based estimation and $$96.8\%$$ 96.8 % achieved-accuracy in discrete distance estimation.


2013 ◽  
Vol 860-863 ◽  
pp. 2177-2181
Author(s):  
Xi Ran Wang ◽  
Huai Dong Liu ◽  
Yi Fan He ◽  
Qi Ming Zhao ◽  
He Wu

This paper proposes a Improved positioning algorithm of electrical partial discharge applied for substations. This algorithm is based on received signal strength indication, and taken practical condition of sensors into consideration by replenishing beacon nodes. Compared with traditional trilateral weighting positioning algorithm, this paper introduces indefinite amount of localization perpendicular lines and combined them with trilateral districts to calculate the weighting result, which can reduce error. This model meets the requirement of reality that the height of electrical discharge spots differentiate from the height of the plane formed by beacon nodes (signal sensors). The experimental result indicates that the revised position model proposed by this paper can effectively fit the condition of monitoring hardware. Error of this algorithm is less than that of traditional trilateral localization.


2008 ◽  
Vol 14 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Won-Suk Jang ◽  
Mirosław J. Skibniewski

This paper presents a new prototype framework of automated tracking and monitoring system for construction materials. Previous technologies such as RFID and GPS deployed in construction material tracking have been reviewed and signal strength‐based localisation has been examined. As an emerging network standard for industrial applications, brief specifications of ZigBee™ protocol have been described. We introduce a ZigBee‐based tracking system architecture using hybrid techniques of RF and ultrasound to improve positioning accuracy and cost benefit. Finally, feasibility analysis and application scenario have been examined to present the possible deployment framework in construction area. Santrauka Straipsnyje aprašomas naujas automatizuotos statybinių medžiagų stebėsenos sistemos modelis. Apžvelgiamos tokios technologijos, kaip RFID ir GPS, anksčiau naudotos stebint statybines medžiagas, ir nagrinėjamas signalo stiprumu pagrįstas lokalizavimas. Aprašoma tinklo standarto ZigBee™ protokolo, naudojamo pramonėje, specifikacija. Pateikiama ZigBee tipo stebėjimo sistema, naudojanti RF ir ultragarso technologiją, skirtą pozicionavimo tikslumui gerinti ir jo kainai mažinti. Be to, pateikiama sistemos galimybių analizė ir taikymo sistema, nagrinėjanti galimą šios sistemos naudojimą statyboje.


2017 ◽  
Vol 9 (3) ◽  
pp. 80
Author(s):  
Roger Kadjo ◽  
Ouagnina Hili ◽  
Aubin N'dri

In this paper, we determine the Minimum Hellinger Distance estimator of a stationary GARCH process. We construct an estimator of the parameters based on the minimum Hellinger distance method. Under conditions which ensure the $\phi$-mixing of the GARCH process, we establish the almost sure convergence and the asymptotic normality of the estimator.


2013 ◽  
Vol 9 (1) ◽  
pp. 4 ◽  
Author(s):  
Luca Catarinucci ◽  
Luigi Patrono

The adoption of solutions based on Radio Frequency IDentification technology in a wide range of contexts is a matter of fact. In many situations, such as the tracking of small-size living animals, the straightforward use of commercial systems does not ensure adequate performance. Consequently, both the RFID hardware and the software control platform should be tailored for the particular application. In this work, the specific requirements of Near Field Ultra High Frequency RFID reader antennas suitable for small-size animal localization and tracking are identified and a control system in a LabVIEW environment is designed. Afterwards, both hardware and software solutions have been implemented and validated. In particular, an algorithm based on the measured Received Signal Strength Indication, in order to obtain precise localization data, was developed and validated. Finally, the set-up of a first working prototype involving built-in-lab reader antennas has been completed and tested. The achieved results prove the effectiveness of the proposed tracking system.


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