Relevant bibliographies by topics / LQI (Link Quality Indicator)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'LQI (Link Quality Indicator)'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "LQI (Link Quality Indicator)"

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Ning, Xuan Jie, Hai Zhao, Mao Fan Yang, and Hua Feng Chai. "A Link Evaluation Method Employing Statistical Means of Received Signal Strength Indicator and Link Quality Indicator for Wireless Sensor Networks." Applied Mechanics and Materials 470 (December 2013): 722–28. http://dx.doi.org/10.4028/www.scientific.net/amm.470.722.

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This paper is concerned with a wireless receiving link evaluation method using statistical means of received signal strength indicator (RSSI) and link quality indicator (LQI) based on the IEEE 802.15.4 protocol for wireless sensor networks. Traditional methods using single RSSI and single LQI based on the IEEE 802.11 protocol have the disadvantage of the inaccurate evaluation. In this paper, we carry out a quantitative emulation experiment via computing statistical means of RSSI and LQI based on wireless sensor networks protocol of IEEE 802.15.4. Tested numerical values are analyzed using MATLAB and SPSS by defining the wireless link evaluation sensitivity. Result curves of RSSI to packet reception rate (PRR) and LQI to PRR we finally derive are shown that statistical means of RSSI and LQI can obtain the status information of receiving links more accurately, compared with the traditional wireless link evaluation using single RSSI and single LQI.
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Liu, Wei, Yu Xia, Daqing Zheng, Jian Xie, Rong Luo, and Shunren Hu. "Environmental Impacts on Hardware-Based Link Quality Estimators in Wireless Sensor Networks." Sensors 20, no. 18 (September 17, 2020): 5327. http://dx.doi.org/10.3390/s20185327.

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Hardware-based link quality estimators (LQEs) in wireless sensor networks generally use physical layer parameters to estimate packet reception ratio, which has advantages of high agility and low overhead. However, many existing studies didn’t consider the impacts of environmental changes on the applicability of these estimators. This paper compares the performance of typical hardware-based LQEs in different environments. Meanwhile, aiming at the problematic Signal-to-Noise Ratio (SNR) calculation used in existing studies, a more reasonable calculation method is proposed. The results show that it is not accurate to estimate the packet reception rate using the communication distance, and it may be useless when the environment changes. Meanwhile, the fluctuation range of the Received Signal Strength Indicator (RSSI) and SNR will be affected and that of Link Quality Indicator (LQI) is almost unchanged. The performance of RSSI based LQEs may degrade when the environment changes. Fortunately, this degradation is mainly caused by the change of background noise, which could be compensated conveniently. The best environmental adaptability is gained by LQI and SNR based LQEs, as they are almost unaffected when the environment changes. Moreover, LQI based LQEs are more accurate than SNR based ones in the transitional region. Nevertheless, compared with SNR, the fluctuation range of LQI is much larger, which needs a larger smoothing window to converge. In addition, the calculation of LQI is typically vendor-specific. Therefore, the tradeoff between accuracy, agility, and convenience should be considered in practice.
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Li, Jie, Yang Pan, Shijian Ni, and Feng Wang. "A Hybrid Reliable Routing Algorithm Based on LQI and PRR in Industrial Wireless Networks." Wireless Communications and Mobile Computing 2021 (September 4, 2021): 1–16. http://dx.doi.org/10.1155/2021/6039900.

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In Industrial Wireless Networks (IWNs), the communication through Machine-to-Machine (M2M) is often affected by the noise in the industrial environment, which leads to the decline of communication reliability. In this paper, we investigate how to improve route stability through M2M in an industrial environment. We first compare different link quality estimations, such as Signal-Noise Ratio (SNR), Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI), Packet Reception Ratio (PRR), and Expected Transmission Count (ETX). We then propose a link quality estimation combining LQI and PRR. Finally, we propose a Hybrid Link Quality Estimation-Based Reliable Routing (HLQEBRR) algorithm for IWNs, with the object of maximizing link stability. In addition, HLQEBRR provides a recovery mechanism to detect node failure, which improves the speed and accuracy of node recovery. OMNeT++-based simulation results demonstrate that our HLQEBRR algorithm significantly outperforms the Collection Tree Protocol (CTP) algorithm in terms of end-to-end transmission delay and packet loss ratio, and the HLQEBRR algorithm achieves higher reliability at a small additional cost.
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Zhang, Jie, Wu Jun Yao, and Hai Bin Yang. "An Adaptive Error Control Scheme in Wireless Sensor Networks Based on LQI." Applied Mechanics and Materials 263-266 (December 2012): 915–19. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.915.

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Aiming at the character of high bit error rate and energy constraints on WSN, this paper proposed an adaptive error control scheme based on link quality indicator(LQI). The PHY specification of IEEE802.15.4 provided accurate measurement of channel quality for WSN, according to the quantitative relationship between LQI and bit error rate, this paper divided the channel quality into eight levels non-uniformly, furthermore, eight different BCH code were chosen correspondingly. The motes choose optimal BCH code as its error correction scheme in real time. Experimental results show the scheme is high in energy efficiency, meanwhile, drops the error probability effectively.
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Bronk, Krzysztof, Adam Lipka, and Rafał Niski. "Link Quality Assessment Algorithm for Heterogeneous Self-organizing Maritime Communications Network." Journal of Telecommunications and Information Technology 2 (June 29, 2018): 32–40. http://dx.doi.org/10.26636/jtit.2018.121217.

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The article introduces a method of performing a radio link quality assessment based on the Link Quality Indicator (LQI) which will be calculated for every system that is available. The method presented has been developed during the netBaltic project completed in Poland and generally applies to the so-called maritime zone A, i.e. the sea area where ships are still within the range of shore-based radio communication systems, particularly 3G/LTE cellular networks. The algorithm was developed based on the results of measurements obtained during two separate campaigns. That measurement data served as a basis for the method’s initial assumptions and was utilized during the method’s verification.
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El Madani, Bouchra, Anne Paule Yao, and Abdelouahid Lyhyaoui. "Combining Kalman Filtering with ZigBee Protocol to Improve Localization in Wireless Sensor Network." ISRN Sensor Networks 2013 (March 21, 2013): 1–7. http://dx.doi.org/10.1155/2013/252056.

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We propose a low-cost and low-power-consumption localization scheme for ZigBee-based wireless sensor networks (WSNs). Our design is based on the link quality indicator (LQI)—a standard feature of the ZigBee protocol—for ranging and the ratiometric vector iteration (RVI)—a light-weight distributed algorithm—modified to work with LQI measurements. To improve performance and quality of this system, we propose three main ideas: a cooperative approach, a coefficient delta () to regulate the speed of convergence of the algorithm, and finally the filtering process with the extended Kalman filter. The results of experiment simulations show acceptable localization performance and illustrate the accuracy of this method.
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Joana Halder, Sharly, and Wooju Kim. "A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers." Journal of Computer Networks and Communications 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/790374.

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Due to the ease of development and inexpensiveness, indoor localization systems are getting a significant attention but, with recent advancement in context and location aware technologies, the solutions for indoor tracking and localization had become more critical. Ranging methods play a basic role in the localization system, in which received signal strength indicator- (RSSI-) based ranging technique gets the most attraction. To predict the position of an unknown node, RSSI measurement is an easy and reliable method for distance estimation. In indoor environments, the accuracy of the RSSI-based localization method is affected by strong variation, specially often containing substantial amounts of metal and other such reflective materials that affect the propagation of radio-frequency signals in nontrivial ways, causing multipath effects, dead spots, noise, and interference. This paper proposes an adaptive smoother based location and tracking algorithm for indoor positioning by making fusion of RSSI and link quality indicator (LQI), which is particularly well suited to support context aware computing. The experimental results showed that the proposed mathematical method can reduce the average error around 25%, and it is always better than the other existing interference avoidance algorithms.
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Li, Xiaoyu, Osamu Yoshie, and Daoping Huang. "A passive method for privacy protection in the perceptual layer of IoTs." International Journal of Pervasive Computing and Communications 13, no. 2 (June 5, 2017): 194–210. http://dx.doi.org/10.1108/ijpcc-03-2017-0025.

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Purpose The purpose of this paper is to detect the existence of unknown wireless devices which could result negative means to the privacy. The perceptual layer of internet of things (IoTs) suffers the most significant privacy disclosing because of limited hardware resources, huge quantity and wide varieties of sensing equipment. Determining whether there are unknown wireless devices in the communicating environment is an effective method to implement the privacy protection for the perceptual layer of IoTs. Design/methodology/approach The authors use horizontal hierarchy slicing (HHS) algorithm to extract the morphology feature of signals. Meanwhile, partitioning around medoids algorithm is used to cluster the HHS curves and agglomerative hierarchical clustering algorithm is utilized to distinguish final results. Link quality indicator (LQI) data are chosen as the network parameters in this research. Findings Nowadays data encryption and anonymization are the most common methods to protect private information for the perceptual layer of IoTs. However, these efforts are ineffective to avoid privacy disclosure if the communication environment exists unknown wireless nodes which could be malicious devices. How to detect these unknown wireless devices in the communication environment is a valuable topic in the further research. Originality/value The authors derive an innovative and passive unknown wireless devices detection method based on the mathematical morphology and machine learning algorithms to detect the existence of unknown wireless devices which could result negative means to the privacy. The simulation results show their effectiveness in privacy protection.
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Luo, Jian, Liu Yu, Dafang Zhang, Zhen Xia, and Wei Chen. "A New Link Quality Estimation Mechanism Based on LQI in WSN." Information Technology Journal 12, no. 8 (April 1, 2013): 1626–31. http://dx.doi.org/10.3923/itj.2013.1626.1631.

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Jia, Chenhao, Linlan Liu, Xiaole Gu, and Manlan Liu. "A novel link quality prediction algorithm for wireless sensor networks." Computer Science and Information Systems 14, no. 3 (2017): 719–34. http://dx.doi.org/10.2298/csis161220025j.

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Ahead knowledge of link quality can reduce the energy consumption of wireless sensor networks. In this paper, we propose a cloud reasoning-based link quality prediction algorithm for wireless sensor networks. A large number of link quality samples are collected from different scenarios, and their RSSI, LQI, SNR and PRR parameters are classified by a self-adaptive Gaussian cloud transformation algorithm. Taking the limitation of nodes? resources into consideration, the Apriori algorithm is applied to determine association rules between physical layer and link layer parameters. A cloud reasoning algorithm that considers both short- and long-term time dimensions and current and historical cloud models is then proposed to predict link quality. Compared with the existing window mean exponentially weighted method, the proposed algorithm captures link changes more accurately, facilitating more stable prediction of link quality
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Dissertations / Theses on the topic "LQI (Link Quality Indicator)"

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Bildea, Ana. "Link Quality in Wireless Sensor Networks." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM054/document.

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L'objectif de la thèse est d'étudier la variation temporelle de la qualité des liens dans les réseaux de capteurs sans fil à grande échelle, de concevoir des estimateurs permettant la différenciation, à court terme et long terme, entre liens de qualité hétérogène. Tout d'abord, nous étudions les caractéristiques de deux paramètres de la couche physique: RSSI (l'indicateur de puissance du signal reçu) et LQI (l'indicateur de la qualité de liaison) sur SensLab, une plateforme expérimentale de réseau de capteurs à grande échelle situé à l'intérieur de bâtiments. Nous observons que le RSSI et le LQI permettent de discriminer des liens de différentes qualités. Ensuite, pour obtenir un estimateur de PRR, nous avons approximé le diagramme de dispersion de la moyenne et de l'écart-type du LQI et RSSI par une fonction Fermi-Dirac. La fonction nous permet de trouver le PRR à partir d'un niveau donné de LQI. Nous avons évalué l'estimateur en calculant le PRR sur des fenêtres de tailles variables et en le comparant aux valeurs obtenues avec l'estimateur. Par ailleurs, nous montrons en utilisant le modèle de Gilbert-Elliot (chaîne de Markov à deux états) que la corrélation des pertes de paquets dépend de la catégorie de lien. Le modèle permet de distinguer avec précision les différentes qualités des liens, en se basant sur les probabilités de transition dérivées de la moyenne et de l'écart-type du LQI. Enfin, nous proposons un modèle de routage basé sur la qualité de lien déduite de la fonction de Fermi-Dirac approximant le PRR et du modèle Markov Gilbert-Elliot à deux états. Notre modèle est capable de distinguer avec précision les différentes catégories de liens ainsi que les liens fortement variables
The goal of the thesis is to investigate the issues related to the temporal link quality variation in large scale WSN environments, to design energy efficient link quality estimators able to distinguish among links with different quality on a short and a long term. First, we investigate the characteristics of two physical layer metrics: RSSI (Received Signal Strength Indication) and LQI (Link Quality Indication) on SensLAB, an indoor large scale wireless sensor network testbed. We observe that RSSI and LQI have distinct values that can discriminate the quality of links. Second, to obtain an estimator of PRR, we have fitted a Fermi-Dirac function to the scatter diagram of the average and standard variation of LQI and RSSI. The function enables us to find PRR for a given level of LQI. We evaluate the estimator by computing PRR over a varying size window of transmissions and comparing with the estimator. Furthermore, we show using the Gilbert-Elliot two-state Markov model that the correlation of packet losses and successful receptions depend on the link category. The model allows to accurately distinguish among strongly varying intermediate links based on transition probabilities derived from the average and the standard variation of LQI. Finally, we propose a link quality routing model driven from the F-D fitting functions and the Markov model able to discriminate accurately link categories as well as high variable links
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Koyuncu, Hakan. "Indoor localisation by using wireless sensor nodes." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/18044.

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This study is devoted to investigating and developing WSN based localisation approaches with high position accuracies indoors. The study initially summarises the design and implementation of localisation systems and WSN architecture together with the characteristics of LQI and RSSI values. A fingerprint localisation approach is utilised for indoor positioning applications. A k-nearest neighbourhood algorithm (k-NN) is deployed, using Euclidean distances between the fingerprint database and the object fingerprints, to estimate unknown object positions. Weighted LQI and RSSI values are calculated and the k-NN algorithm with different weights is utilised to improve the position detection accuracy. Different weight functions are investigated with the fingerprint localisation technique. A novel weight function which produced the maximum position accuracy is determined and employed in calculations. The study covered designing and developing the centroid localisation (CL) and weighted centroid localisation (WCL) approaches by using LQI values. A reference node localisation approach is proposed. A star topology of reference nodes are to be utilized and a 3-NN algorithm is employed to determine the nearest reference nodes to the object location. The closest reference nodes are employed to each nearest reference nodes and the object locations are calculated by using the differences between the closest and nearest reference nodes. A neighbourhood weighted localisation approach is proposed between the nearest reference nodes in star topology. Weights between nearest reference nodes are calculated by using Euclidean and physical distances. The physical distances between the object and the nearest reference nodes are calculated and the trigonometric techniques are employed to derive the object coordinates. An environmentally adaptive centroid localisation approach is proposed. Weighted standard deviation (STD) techniques are employed adaptively to estimate the unknown object positions. WSNs with minimum RSSI mean values are considered as reference nodes across the sensing area. The object localisation is carried out in two phases with respect to these reference nodes. Calculated object coordinates are later translated into the universal coordinate system to determine the actual object coordinates. Virtual fingerprint localisation technique is introduced to determine the object locations by using virtual fingerprint database. A physical fingerprint database is organised in the form of virtual database by using LQI distribution functions. Virtual database elements are generated among the physical database elements with linear and exponential distribution functions between the fingerprint points. Localisation procedures are repeated with virtual database and localisation accuracies are improved compared to the basic fingerprint approach. In order to reduce the computation time and effort, segmentation of the sensing area is introduced. Static and dynamic segmentation techniques are deployed. Segments are defined by RSS ranges and the unknown object is localised in one of these segments. Fingerprint techniques are applied only in the relevant segment to find the object location. Finally, graphical user interfaces (GUI) are utilised with application program interfaces (API), in all calculations to visualise unknown object locations indoors.
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Araújo, Sandro Roberto de. "Diversidade de antena em redes de sensores sem fio industriais como técnica para aumento da confiabilidade." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/183315.

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Este trabalho concentra-se no aumento da robustez à taxa de erros em redes de sensores sem fio industriais (RSSFI). Para alcançar tal objetivo, é preciso, de algum modo, contornar os problemas intrínsecos da comunicação sem fio, que são, o ruído ambiental, interferências e desvanecimento por multipercurso. O multipercurso pode ser considerado um dos principais fatores que tornam as comunicações nas redes de sensores sem fio (RSSF) um verdadeiro desafio quando comparadas com outros meios, como a transmissão em fibra óptica, cabo ou mesmo transmissões de rádio ponto-a-ponto. Nesse sentido, propõe-se a diversidade de antenas como uma solução para minimizar os efeitos do multicaminho, com o objetivo de melhorar a confiabilidade do enlace de rádio para permitir o emprego de RSSF densas. O potencial da diversidade de antenas em RSSF não está totalmente explorado em aplicações industriais. Esta dissertação apresenta ainda, a técnica “Combinação de seleção” para RSSFI através de um algoritmo que seleciona a porta do receptor que apresenta o melhor indicador de qualidade de enlace e realiza a comutação das antenas nos módulos de rádio. Os resultados são analisados para dois tipos de enlaces, isto é, com e sem diversidade de antenas na recepção, e discute-se opções para melhorar o PER (“Packet Error Rate”) com as atuais técnicas de diversidade.
This work concentrates on the increase of reliability and robustness in Industrial Wireless Sensor Networks (IWSNs), decreasing the Packet Error Rate (PER). To achieve this objective, is need to somehow circumvent and reduce the underlying problems of wireless communication, which are: environmental noise, interference, and multipath fading. The multipath can be seen as the main factor which becomes the communications in the Wireless Sensor Networks (WSNs) a real challenge when compared to other types of means such as a transmission in fiber, cable or even point-to-point radio transmissions. In this sense, it is proposed antenna diversity as solution to reduce these effects, with the aim to improve the reliability of the radio link to allow the use of dense WSNs. The potential of antenna diversity in WSN is not fully exploited in industrial applications. In this sense, this dissertation presents the "Combination of selection" technique for IWSNs through an internal algorithm that selects the receiver port that has the highest LQI ("Link Quality Indicator") and performs an antenna switching in the radio modules. Also, options to improve PER using diversity techniques are discussed.
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Larsson, Martin, and Anton Silfver. "Signal-aware adaptive timeout in cellular networks : Analysing predictability of link failure in cellular networks based on network conditions." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138128.

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Cellular networks are becoming more common, this introduces new challenges in dealing with their error prone nature. To improve end-to-end performance when the first link in the connection is wireless, an adaptive timeout based on network conditions is constructed. Relevant network factors are identified by examining data collected by a device located in a vehicle moving around in southern Sweden. Channel Quality Indicator (CQI) is shown to be the primary predictor of errors in the connection. In our datasets, a CQI index of 2 is a very good predictor of an error prone state. The collected data is split into training and evaluation data, the training data is used to construct a model. An adaptive timeout mechanism which uses this model is proposed, the mechanism is shown to be superior in all tested cases in the dataset compared to the optimal static counterpart. Reducing timeouts allows for applications to make new decisions based on new information faster, increasing responsiveness and user satisfaction.
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Book chapters on the topic "LQI (Link Quality Indicator)"

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Pancham, Jay, Richard Millham, and Simon James Fong. "Analysis of Bluetooth Low Energy RSSI Values for Use as a Real Time Link Quality Indicator for Indoor Location." In Computational Science and Its Applications – ICCSA 2020, 980–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58817-5_69.

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Bilgin, Cevat. "The Concept of Logistics Performance in International Trade Framework." In Handbook of Research on the Applications of International Transportation and Logistics for World Trade, 97–121. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1397-2.ch006.

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An increased need for international logistics has emerged with a higher degree of globalization. The quality of logistics services determines the degree of a country's involvement in global trade. In this chapter, the concept of logistics performance in the international trade context is discussed, then the measurement problems of logistics performance are discussed. The links between logistics, trade, and growth are evaluated theoretically. Policymakers and researchers have been widely using Logistics Performance Index (LPI) developed by the World Bank. LPI provides a general information of logistics costs, customs processes, and the quality of the necessary infrastructure for transportation for each country. In this chapter, the definition, the methodology, and the aspects of the indicator LPI, its content and components, and the relations between LPI and some economic factors such as growth and foreign trade, are elaborated. The econometric modelling methods are used to analyze the relations between LPI and economic factors.
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Khan, Muhammad Jamil. "The Moderating Effect of Cognitive Style Indicator on the Relationship Between Leadership Styles and Employee Performance." In Servant Leadership Styles and Strategic Decision Making, 171–85. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-4996-3.ch007.

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The aim of this chapter is to review the full range leadership model and link with decision making cognitive style to increase performance of employees. For this purpose, numerous articles, theses, and dissertations have been reviewed. It also takes into consideration that articles should be downloaded from ISI index and Scopus index journals in order to get quality data for review. This study will be quantitative in nature and will use survey approach for data collection. Population of this study will be all degree-awarding institutions from KPK universities.
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Conference papers on the topic "LQI (Link Quality Indicator)"

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Wei, Chen, and Luo Jian. "An Improved LQI- based Link Quality Estimation Mechanism for Wireless Sensor Networks." In 3rd International Conference on Computer Science and Service System. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/csss-14.2014.17.

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Brendel, Johannes, Axel Schmidt, and Georg Fischer. "A link quality indicator for analog FM transmission systems." In 2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, 2013. http://dx.doi.org/10.1109/icspcs.2013.6723964.

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Kuruwatti, Nandini, Y. N. Nayana, Nikhita Sarole, Girish Revadigar, and Chitra Javali. "LQI-Key: Symmetric Key Generation Scheme for Internet-of-Things (IoT) Devices Using Wireless Channel Link Quality." In 2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC). IEEE, 2018. http://dx.doi.org/10.1109/icaecc.2018.8479465.

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Machado, Kássio, Denis do Rosário, Eduardo Nakamura, Antônio Abelém, and Eduardo Cerqueira. "Design of a routing protocol using remaining energy and link quality indicator (REL)." In the 6th Latin America Networking Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2078216.2078223.

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Roy, Sudipto, and Manisha J. Nene. "Prevention of node replication in Wireless Sensor Network using Received Signal Strength Indicator, Link Quality Indicator and Packet Sequence Number." In 2016 Online International Conference on Green Engineering and Technologies (IC-GET). IEEE, 2016. http://dx.doi.org/10.1109/get.2016.7916613.

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Zen, Kartinah, Daryoush Habibi, and Iftekhar Ahmad. "A new algorithm to improve mobile sensor node connectivity based on link quality indicator." In TENCON 2009 - 2009 IEEE Region 10 Conference. IEEE, 2009. http://dx.doi.org/10.1109/tencon.2009.5395868.

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Omer, Sobia, and Rein Vesilo. "A Dual Channel Routing Protocol Based on Energy and Link Quality Indicator in Wireless Body Area Networks." In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE, 2017. http://dx.doi.org/10.1109/vtcspring.2017.8108495.

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Brown, Justin, Jason DeVoe, and Lev Ginzbursky. "The Challenges of Uniform Crystal Temperature Sensor (UCTS) Application in Turbomachinery." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-95909.

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The quality of information, which is necessary to help designers further improve turbine engine performance, requires sophisticated analytics working hand-in-hand with well-developed experimental methods. Historically, the test instrumentation used in harsh, real engine conditions was short-lived, invasive, and not very accurate. This was accepted as the practical reality and the data obtained in an engine test cell had been used as little more than a sanity check or a trend indicator during the design process. Today expectations are much higher and the challenge is to develop experimental tools that can deliver the accuracy required to verify analytical predictions, calibrate computer models and to provide ground for critical design decisions in a way which was not possible before. Successful introduction of UCTS (Uniform Crystal Temperature Sensor) Technology to the leading engine manufacturers demonstrated that it has the potential to overcome the typical issues of testing in a real engine environment. It is robust, non-intrusive and capable of high accuracy temperature measurement. It is based on the mechanism of heat transfer conduction, of which the fundamental theory is rigorous and simple. Our experience has shown that in order for a UCTS-based system to realize its promise, all potential sources of error must be tightly managed. LG Tech-Link identified important factors of influence that could complicate measurement and increase its uncertainty. Among them are variations in the part’s geometry, TBC thickness, boundary conditions, and installation methodology. These have been selected as the focus of this study. The authors of this paper are using 3D Finite Element Analysis (FEA) methodology to investigate the possible pitfalls in the process of UCTS application that could cause loss of accuracy. It is the authors’ intention to probe the sensitivity of temperature at the location of the sensor to the major technological factors. The findings emphasize the value of collaboration between instrumentation, test and analytical engineers when planning engine tests and interpreting their results. Practicing engineers will be able to use the presented recommendations, methodologies and case studies to ensure the application of UCTS in their projects is accurate, compatible with test objectives and cost effective.
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