The Experts below are selected from a list of 148305 Experts worldwide ranked by ideXlab platform
Myung Kyun Kim - One of the best experts on this subject based on the ideXlab platform.
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Link Quality estimation from burstiness distribution metric in industrial wireless sensor networks
Energies, 2020Co-Authors: Ngoc Huy Nguyen, Myung Kyun KimAbstract:Although mature industrial wireless sensor network applications increasingly require low-power operations, deterministic communications, and end-to-end reliability, it is very difficult to achieve these goals because of Link burstiness and interference. In this paper, we propose a novel Link Quality estimation mechanism named the burstiness distribution metric, which uses the distribution of burstiness in the Links to deal with variations in wireless Link Quality. First, we estimated the Quality of the Link at the receiver node by counting the number of consecutive packets lost in each Link. Based on that, we created a burstiness distribution list and estimated the number of transmissions. Our simulation in the Cooja simulator from Contiki-NG showed that our proposal can be used in scheduling as an input metric to calculate the number of transmissions in order to achieve a reliability target in industrial wireless sensor networks.
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measuring Link Quality based on etx metric in multi hop wireless networks
Networking and Communication 2014, 2014Co-Authors: Dinh Duong Mai, Anh Tai Tran, Myung Kyun KimAbstract:ETX (Expected Transmission Count) is a well-known Link Quality metric which has been widely used to improve the performance of ad-hoc routing protocols. However, ETX shows poor performance under high traffic load. To address this problem, this paper proposes a new Link Quality estimation metric called HETX (High load Expected Transmission Count) that takes into account the effects of routing control messages on the Link Quality under high traffic load. A reliable routing protocol using HETX is also proposed, which is called LQDV (Link Quality Distance Vector). Simulations are conducted to compare the performance of three metrics HETX, ETX and minimum hopcount. The simulation results show that HETX outperforms minimum hopcount and ETX in terms of throughput and delivery ratio under high load.
John A Stankovic - One of the best experts on this subject based on the ideXlab platform.
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atpc adaptive transmission power control for wireless sensor networks
International Conference on Embedded Networked Sensor Systems, 2006Co-Authors: Shan Lin, Jingbin Zhang, Gang Zhou, John A StankovicAbstract:Extensive empirical studies presented in this paper confirm that the Quality of radio communication between low power sensor devices varies significantly with time and environment. This phenomenon indicates that the previous topology control solutions, which use static transmission power, transmission range, and Link Quality, might not be effective in the physical world. To address this issue, online transmission power control that adapts to external changes is necessary. This paper presents ATPC, a lightweight algorithm of Adaptive Transmission Power Control for wireless sensor networks. In ATPC, each node builds a model for each of its neighbors, describing the correlation between transmission power and Link Quality. With this model, we employ a feedback-based transmission power control algorithm to dynamically maintain individual Link Quality over time. The intellectual contribution of this work lies in a novel pairwise transmission power control, which is significantly different from existing node-level or network-level power control methods. Also different from most existing simulation work, the ATPC design is guided by extensive field experiments of Link Quality dynamics at various locations and over a long period of time. The results from the real-world experiments demonstrate that 1) with pairwise adjustment, ATPC achieves more energy savings with a finer tuning capability and 2) with online control, ATPC is robust even with environmental changes over time.
Wei Sun - One of the best experts on this subject based on the ideXlab platform.
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lstm based Link Quality confidence interval boundary prediction for wireless communication in smart grid
Computing, 2021Co-Authors: Wei Sun, Zhi Liu, Xue Xue, Haiyan Zhang, Junbo WangAbstract:The smart grid will play an important role in the future city to support the diversified energy supply. Wireless communication, the most cost-effective alternative to the traditional wire-lines, promises to provide ubiquitous bi-direction information channel for smart grid devices. However, due to the complex environment that smart grid devices located in, the wireless Link is easily been interfered with and therefore appears strong stochastic features. Considering different smart grid application traffics have different and strict reliability requirements, the confidence interval lower boundary is more suitable to represent the worst-case reliability of the stochastic wireless Link Quality and trustworthy for judging whether the Link Quality is qualified for the next transmission. In this paper, we propose a Long-Short-Term-Memory (LSTM) based Link Quality confidence interval lower boundary prediction for the smart grid. According to the analysis of the characteristics of the wireless Link, we employ the wavelet denoising algorithm to decompose the signal-to-noise ratio time series into the deterministic part and the stochastic part for training two LSTM neural networks. Then, the deterministic part and the variance of the stochastic part are predicted respectively. Lastly the confidence interval boundary is calculated. To verify the performance of the proposed LQP method, real-world experiments are carried out and the results show that our method is more accurate and trustworthy in comparison with other Link Quality prediction methods.
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end to end data delivery reliability model for estimating and optimizing the Link Quality of industrial wsns
IEEE Transactions on Automation Science and Engineering, 2018Co-Authors: Wei Sun, Xiaojing Yuan, Jianping Wang, Liangfeng ChenAbstract:With the success of wireless sensor networks (WSNs), traditional engineering and infrastructure industries are starting to develop solutions using WSN technologies. One of the main challenges of designing and developing WSNs for industrial monitoring and control is satisfying their strict reliability requirements. In this paper, we present a network-level reliability model, namely, end-to-end data delivery reliability (E2E-DDR), for estimating and optimizing the reliability performance of WSNs. In the E2E-DDR model, a framework is presented for capturing the mapping function between the packet reception ratio, background noise, and received signal strength (RSS). We use an alpha-stable distribution to accurately represent the background noise and a modified log-normal path loss model to more realistically describe the RSS. We also report a comprehensive performance evaluation performed by applying the E2E-DDR model in a real-world case study to estimate the network-level reliability and optimize the WSN deployment parameters. Note to Practitioners —The goal of this paper is to improve the estimation and optimization of the network-level reliability performance of industrial wireless sensor networks (WSNs) to satisfy their strict control requirements. In harsh industrial application scenarios, many factors affect radio Link Quality, such as RF transmit power, communication distance, and random background noise. Existing Link Quality estimation approaches mainly focus on providing a smoothed estimation of radio Link Quality without any solution for optimizing communication reliability to satisfy certain requirements. This paper suggests a new approach in which WSN nodes are used to measure and estimate the parameters of the scenario in which the nodes will be deployed and then to estimate and optimize the worst case reliability (which is a lower-bound value rather than a smoothed value) to ensure that the network is qualified. Through a real-world case study, we demonstrate how to estimate the lower bound on reliability and how to optimize the reliability by computing the maximum deployment distance between nodes as an example. The experiments suggest that this approach is feasible.
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wnn lqe wavelet neural network based Link Quality estimation for smart grid wsns
IEEE Access, 2017Co-Authors: Wei Sun, Liangfeng Chen, Xiaojing YuanAbstract:Wireless sensor networks (WSNs) are currently being used for monitoring and control in smart grids. To ensure the Quality of service (QoS) requirements of smart grid applications, WSNs need to provide specific reliability guarantees. Real-time Link Quality estimation (LQE) is essential for improving the reliability of WSN protocols. However, many state-of-the-art LQE methods produce numerical estimates that are suitable neither for describing the dynamic random features of radio Links nor for determining whether the reliability satisfies the requirements of smart grid communication standards. This paper proposes a wavelet-neural-network-based LQE (WNN-LQE) algorithm that closes the gap between the QoS requirements of smart grids and the features of radio Links by estimating the probability-guaranteed limits on the packet reception ratio (PRR). In our algorithm, the signal-to-noise ratio (SNR) is used as the Link Quality metric. The SNR is approximately decomposed into two components: a time-varying nonlinear part and a non-stationary random part. Each component is separately processed before it is input into the WNN model. The probability-guaranteed limits on the SNR are obtained from the WNN-LQE algorithm and are then transformed into estimated limits on the PRR via the mapping function between the SNR and PRR. Comparative experimental results are presented to demonstrate the validity and effectiveness of the proposed LQE algorithm.
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Link adaptation of rate compatible ldpc coded ofdm system based on minus exponential effective snr mapping Link Quality model
International Conference on Wireless Communications Networking and Mobile Computing, 2008Co-Authors: Xiang Chen, Wei Sun, Zesong Fei, Jingming KuangAbstract:An precise but simple Link Quality model is crucial to improve the accuracy and flexibility of Link adaptation design of LDPC coded OFDM system, because it acts as a Link-to-system interface which provides system simulator immediately the BLER performance of a certain modulation and coding scheme corresponding to the current SINR states, which is an instantaneous vector. This contribution extends the classical exponential effective-SNR mapping model to rate-compatible LDPC codes. Theoretical analysis and simulation results indicate that the EESM model eliminates the influence of different modulation modes and channel states, by selecting proper modulation and coding adjusting factors. Therefore it can be treated as an accurate Link to system interface for LDPC coded OFDM system. Furthermore adaptive modulation and coding scheme is designed to verify the accuracy of the model. The predicted results match the simulation ones very well, both over AWGN and TU50 channels, which confirms that the EESM model offers accurate and convenient look-up tables for LA design of LDPC coded OFDM system.
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Link adaptation of ldpc codes based on exponential effective snr mapping Link Quality model
International Conference on Future Generation Communication and Networking, 2007Co-Authors: Wei Sun, Xiang Chen, Zesong Fei, Jingming KuangAbstract:To improve the flexibility and accuracy of Link adaptation (LA) of LDPC coded OFDM system, the classical exponential effective-SNR mapping (EESM) Link Quality model is extended to LDPC codes. Theoretical analysis and simulation results indicate that by selecting proper modulation and coding adjusting factors, the EESM model is precise for LDPC codes, both in terms of complexity and accuracy for various modulation and coding schemes (MCS), sub- channel states and coding block lengths. Therefore it can be treated as an accurate Link to system (L2S) interface for LDPC coded multi-carrier system. To verify it, a new LA scheme based on LDPC codes specified in IEEE802.16e standard is presented. Based on the EESM model, the Link-level performance of BPSK over additional white Gaussian noise (AWGN) channel is used to predict the throughput performances of the LA scheme, which match the simulation results very well.
Sudip Misra - One of the best experts on this subject based on the ideXlab platform.
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Link Quality aware resource allocation with load balance in wireless body area networks
IEEE Systems Journal, 2018Co-Authors: Amit Samanta, Samaresh Bera, Sudip MisraAbstract:Due to interference from other coexisting wireless body area networks (WBANs), Link Quality between a particular WBAN and access points (APs) significantly varies. Consequently, the performance of a WBAN varies with the changes in the Link Quality. Additionally, a WBAN unnecessarily tries to send its real-time data to the sink node, whereas the corresponding Link Quality drops below a predefined threshold value, to maintain adequate network performance. To address this situation, in this paper, we propose a Link-Quality-aware resource allocation scheme in WBANs—an effort toward maximizing the overall network performance. The proposed scheme consists of two phases— temporal Link Quality measurement and subchannel allocation among the WBANs . In the former, we predict correlations among different aspects of Link Quality. Based on the available correlated Link qualities, the subchannel allocation phase divides the available bandwidth into several subchannels to maintain the Quality of service of the network. The performance of the proposed scheme is evaluated based on different performance metrics—path loss, throughput, number of dead nodes, and fairness index of WBANs. The simulation results show that the performance of a WBAN significantly increases, if the Link-Quality-aware resource allocation is made between a WBAN and available APs.
Xiang Yunsong - One of the best experts on this subject based on the ideXlab platform.
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study on routing metric and accurate measurement of Link Quality in wireless mesh network
Journal of Computer Applications, 2007Co-Authors: Xiang YunsongAbstract:The routing technology based on Ad Hoc was introduced into Wireless Mesh Network(WMN)as the default routing standard described in IEEE 802.11s.But the backbone of WMN is different from Ad Hoc,the topology of WMN is more static than that of Ad Hoc.MR-LQSR developed for relatively static WMN,combining the LQSR and WCETT,shows the better performance for WMN than pure routing of Ad Hoc.WCETT is the Link-Quality metric.An efficient and accurate measurement(EAR)for wireless Link-Quality was proposed.Accurate Link-Quality measurement is essential to the routing performance associated with Link-Quality-awareness routing protocol in WMN.The Link-Quality factors,such as Link bandwidth and loss rate were discussed,and the utilization of Link capacity improved by EAR was evaluated.The simulation results show that ETT and ETX with EAR significantly outperform original ETTETX with BAP.
