Journal articles: 'Link Quality Metrics'

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Pinson, Margaret H., Philip J. Corriveau, Mikołaj Leszczuk, and Michael Colligan. "Open Software Framework for Collaborative Development of No Reference Image and Video Quality Metrics." Electronic Imaging 2020, no. 11 (January 26, 2020): 92–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.11.hvei-092.

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This paper describes ongoing work within the video quality experts group (VQEG) to develop no-reference (NR) audiovisual video quality analysis (VQA) metrics. VQEG provides an open forum that encourages knowledge sharing and collaboration. The VQEG no-reference Metric (NORM) group’s goal is to develop open-source NR-VQA metrics that meet industry requirements for scope, accuracy, and capability. This paper presents industry specifications from discussions at VQEG face-to-face meetings among industry, academic, and government participants. This paper also announces an open software framework for collaborative development of NR image quality Analysis (IQA) and VQA metrics <ext-link ext-link-type="url" xlink:href="https://github.com/NTIA/NRMetricFramework"><https://github.com/NTIA/NRMetricFramework></ext-link>. This framework includes the support tools necessary to begin research and avoid common mistakes. VQEG’s goal is to produce a series of NR-VQA metrics with progressively improving scope and accuracy. This work draws upon and enables IQA metric research, as both use the human visual system to analyze the quality of audiovisual media on modern displays. Readers are invited to participate.

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Mao, Jing, Yan Zhao, Yu Xia, Zhuopeng Yang, Cheng Xu, Wei Liu, and Daqing Huang. "Revisiting Link Quality Metrics and Models for Multichannel Low-Power Lossy Networks." Sensors 23, no. 3 (January 23, 2023): 1303. http://dx.doi.org/10.3390/s23031303.

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Multichannel communication has great potential in environments with unknown interference patterns. However, existing link quality metrics and models are generally established and verified under a single-channel scenario, which does not consider the impacts of radio interference and channel change. Therefore, it is hard to directly judge whether these metrics and models are still valid under a multichannel scenario. This paper empirically analyzes the applicability of popular link quality metrics and models in multiple channels with different interference levels. Results show that the link quality estimation (LQE) capability of traditional metrics will be affected by the interference level of the channel, which makes the conclusions obtained under a single-channel scenario no longer valid. Meanwhile, traditional LQE models are basically not adaptive to radio interference and channel change. They are only valid for channels with similar interference under which they are modeled. If these models are directly used under a multichannel scenario, the link quality will be overestimated inevitably. In other words, traditional LQE metrics and models cannot be directly used in the multichannel scenario. It is necessary to deeply analyze the statistical characteristics of popular link quality metrics in multiple typical channels and design channel and interference adaptive metrics and models to support effective multichannel communication.

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Entezami, Fariborz, Martin Tunicliffe, and Christos Politis. "Find the Weakest Link: Statistical Analysis on Wireless Sensor Network Link-Quality Metrics." IEEE Vehicular Technology Magazine 9, no. 3 (September 2014): 28–38. http://dx.doi.org/10.1109/mvt.2014.2333693.

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Javaid, N., A. Bibi, A. Javaid, Z. A. Khan, K. Latif, and M. Ishfaq. "Investigating quality routing link metrics in Wireless Multi-hop Networks." annals of telecommunications - annales des télécommunications 69, no. 3-4 (December 10, 2013): 209–17. http://dx.doi.org/10.1007/s12243-013-0409-0.

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Schwartz, Geoff. "Rhythm and Vowel Quality in Accents of English." Research in Language 8 (October 19, 2010): 135–47. http://dx.doi.org/10.2478/v10015-010-0011-8.

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This paper will examine rhythmic differences among native and non-native accents of English, and report on a pilot experiment investigating a hypothesized interaction between rhythm and vowel quality. A new metric, % SteadyState, an acoustic measure that quantifies the purity of vowels, appears to capture rhythmic differences that have been reported among various native and non-native accents of English. In the tradition of other recently developed rhythm metrics, these findings suggest a link between rhythm and segmental phonology. Additionally, the perspective gained from this study may be beneficial to learners whose goal is native-like vowel quality, offering an understanding of the dynamic properties of English vowels.

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Aliyu, Ahmed, Abdul Hanan Abdullah, Ismail Fauzi Isnin, Raja Zahilah Raja Mohd Radzi, Arvind Kumar, Tasneem S. J. Darwish, and Usman Mohammed Joda. "Road-Based Multi-Metric Forwarder Evaluation for Multipath Video Streaming in Urban Vehicular Communication." Electronics 9, no. 10 (October 13, 2020): 1663. http://dx.doi.org/10.3390/electronics9101663.

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In video streaming over vehicular communication, optimal selection of a video packet forwarder is a daunting issue due to the dynamic nature of Vehicular Ad-hoc NETworks (VANETs)and the high data rates of video. In most of the existing studies, extensive considerations of the essential metrics have not been considered. In order to achieve quality video streaming in vehicular network, important metrics for link connectivity and bandwidth efficiency need to be employed to minimize video packet error and losses. In order to address the aforementioned issues, a Road-based Multi-metric Forwarder Evaluation scheme for Multipath Video Streaming (RMF-MVS) has been proposed. The RMF-MVS scheme is adapted to be a Dynamic Self-Weighting score (DSW) (RMF-MVS+DSW) for forwarder vehicle selection. The scheme is based on multipath transmission. The performance of the scheme is evaluated using Peak Signal to Noise Ratio (PSNR), Structural SIMilarity index (SSIM), Packet Loss Ratio (PLR) and End-to-End Delay (E2ED) metrics. The proposed scheme is compared against two baseline schemes including Multipath Solution with Link and Node Disjoint (MSLND) and Multimedia Multi-metric Map-aware Routing Protocol (3MRP) with DSW (3MRP+DSW). The comparative performance assessment results justify the benefit of the proposed scheme based on various video streaming related metrics.

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Huang, Zhirui, Lip Yee Por, Tan Fong Ang, Mohammad Hossein Anisi, and Mohammed Sani Adam. "Improving the Accuracy Rate of Link Quality Estimation Using Fuzzy Logic in Mobile Wireless Sensor Network." Advances in Fuzzy Systems 2019 (April 17, 2019): 1–13. http://dx.doi.org/10.1155/2019/3478027.

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Link quality estimation is essential for improving the performance of a routing protocol in a wireless sensor network. Many methods have been proposed to increase the performance of the link quality estimation; however, most of them are not able to evaluate link quality accurately. In this study, a method that uses fuzzy logic to combine both hardware-based and software-based metrics is proposed to improve the accuracy rate for evaluating a link quality. This proposed method consists of three types of modules, the Fuzzifier module, the Inference module, and the Defuzzifier module. The Fuzzifier module is used to determine the degree to which input link quality metrics belong to each fuzzy set through proposed membership functions. The Inference module obtains the rule outputs based on the proposed fuzzy rules and the given inputs acquired from the Fuzzifier module. The Defuzzifier module is used to aggregate the rule outputs inferred from the Inference module. The result from the Defuzzifier module is then used to evaluate the link quality. A simulation conducted to compare the accuracy rates of the proposed method and those found in related works showed that the proposed method had higher accuracy rates for evaluating a link quality.

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Evangeline, C. Suganthi, and S. Appu. "An Efficient Data Transmission in VANET Using Clustering Method." International Journal of Electronics and Telecommunications 63, no. 3 (August 28, 2017): 309–13. http://dx.doi.org/10.1515/eletel-2017-0045.

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Abstract A special type of Mobile Ad-hoc Networks (MANETs) which has frequent changes of topology and higher mobility is known as Vehicular Ad-hoc Networks (VANETs). In order to divide the network into groups of mobile vehicles and improve routing, data gathering, clustering is applied in VANETs. A stable clustering scheme based on adaptive multiple metric combining both the features of static and dynamic clustering methods is proposed in this work. Based on a new multiple metric method, a cluster head is selected among the cluster members which is taken from the mobility metrics such as position and time to leave the road segment, relative speed and Quality of Service metrics which includes neighborhood degree, link quality of the RSU and bandwidth. A higher QoS and cluster stability are achieved through the adaptive multiple metric. The results are simulated using NS2 and shows that this technique provides more stable cluster structured with the other methods.

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Pfeifer, Marion, Michael J. W. Boyle, Stuart Dunning, and Pieter I. Olivier. "Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forests." PeerJ 7 (January 10, 2019): e6190. http://dx.doi.org/10.7717/peerj.6190.

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Tropical landscapes are changing rapidly due to changes in land use and land management. Being able to predict and monitor land use change impacts on species for conservation or food security concerns requires the use of habitat quality metrics, that are consistent, can be mapped using above-ground sensor data and are relevant for species performance. Here, we focus on ground surface temperature (Thermalground) and ground vegetation greenness (NDVIdown) as potentially suitable metrics of habitat quality. Both have been linked to species demography and community structure in the literature. We test whether they can be measured consistently from the ground and whether they can be up-scaled indirectly using canopy structure maps (Leaf Area Index, LAI, and Fractional vegetation cover, FCover) developed from Landsat remote sensing data. We measured Thermalground and NDVIdown across habitats differing in tree cover (natural grassland to forest edges to forests and tree plantations) in the human-modified coastal forested landscapes of Kwa-Zulua Natal, South Africa. We show that both metrics decline significantly with increasing canopy closure and leaf area, implying a potential pathway for upscaling both metrics using canopy structure maps derived using earth observation. Specifically, our findings suggest that opening forest canopies by 20% or decreasing forest canopy LAI by one unit would result in increases of Thermalground by 1.2 °C across the range of observations studied. NDVIdown appears to decline by 0.1 in response to an increase in canopy LAI by 1 unit and declines nonlinearly with canopy closure. Accounting for micro-scale variation in temperature and resources is seen as essential to improve biodiversity impact predictions. Our study suggests that mapping ground surface temperature and ground vegetation greenness utilising remotely sensed canopy cover maps could provide a useful tool for mapping habitat quality metrics that matter to species. However, this approach will be constrained by the predictive capacity of models used to map field-derived forest canopy attributes. Furthermore, sampling efforts are needed to capture spatial and temporal variation in Thermalground within and across days and seasons to validate the transferability of our findings. Finally, whilst our approach shows that surface temperature and ground vegetation greenness might be suitable habitat quality metric used in biodiversity monitoring, the next step requires that we map demographic traits of species of different threat status onto maps of these metrics in landscapes differing in disturbance and management histories. The derived understanding could then be exploited for targeted landscape restoration that benefits biodiversity conservation at the landscape scale.

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Raj, A. Arockia Bazil, and S. Padmavathi. "Quality Metrics and Reliability Analysis of Laser Communication System." Defence Science Journal 66, no. 2 (March 23, 2016): 175. http://dx.doi.org/10.14429/dsj.66.9707.

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Beam wandering is the main cause for major power loss in laser communication. To analyse this prerequisite at our environment, a 155 Mbps data transmission experimental setup is built with necessary optoelectronic components for the link range of 0.5 km at an altitude of 15.25 m. A neuro-controller is developed inside the FPGA and used to stabilise the received beam at the centre of detector plane. The Q-factor and bit error rate variation profiles are calculated using the signal statistics obtained from the eye-diagram. The performance improvements on the laser communication system due to the incorporation of beam wandering mitigation control are investigated and discussed in terms of various communication quality assessment key parameters.

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Wen, Jianjun, and Waltenegus Dargie. "Characterization of Link Quality Fluctuation in Mobile Wireless Sensor Networks." ACM Transactions on Cyber-Physical Systems 5, no. 3 (July 2021): 1–24. http://dx.doi.org/10.1145/3448737.

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Wireless sensor networks accommodating the mobility of nodes will play important roles in the future. In residential, rehabilitation, and clinical settings, sensor nodes can be attached to the body of a patient for long-term and uninterrupted monitoring of vital biomedical signals. Likewise, in industrial settings, workers as well as mobile robots can carry sensor nodes to augment their perception and to seamlessly interact with their environments. Nevertheless, such applications require reliable communications as well as high throughput. Considering the primary design goals of the sensing platforms (low-power, affordable cost, large-scale deployment, longevity, operating in the ISM band), maintaining reliable links is a formidable challenge. This challenge can partially be alleviated if the nature of link quality fluctuation can be known or estimated on time. Indeed, higher-level protocols such as handover and routing protocols rely on knowledge of link quality fluctuation to seamlessly transfer communication to alternative routes when the quality of existing routes deteriorates. In this article, we present the result of extensive experimental study to characterise link quality fluctuation in mobile environments. The study focuses on slow movements (<5 km h -1 ) signifying the movement of people and robots and transceivers complying to the IEEE 802.15.4 specification. Hence, we deployed mobile robots that interact with strategically placed stationary relay nodes. Our study considered different types of link quality characterisation metrics that provide complementary and useful insights. To demonstrate the usefulness of our experiments and observations, we implemented a link quality estimation technique using a Kalman Filter. To set up the model, we employed two link quality metrics along with the statistics we established during our experiments. The article will compare the performance of four proposed approaches with ours.

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Sun, Weifeng, Haotian Wang, Xianglan Piao, and Tie Qiu. "An Opportunistic Routing Mechanism Combined with Long-Term and Short-Term Metrics for WMN." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/432123.

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WMN (wireless mesh network) is a useful wireless multihop network with tremendous research value. The routing strategy decides the performance of network and the quality of transmission. A good routing algorithm will use the whole bandwidth of network and assure the quality of service of traffic. Since the routing metric ETX (expected transmission count) does not assure good quality of wireless links, to improve the routing performance, an opportunistic routing mechanism combined with long-term and short-term metrics for WMN based on OLSR (optimized link state routing) and ETX is proposed in this paper. This mechanism always chooses the highest throughput links to improve the performance of routing over WMN and then reduces the energy consumption of mesh routers. The simulations and analyses show that the opportunistic routing mechanism is better than the mechanism with the metric of ETX.

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Tiotsop, Lohic Fotio, Florence Agboma, Glenn Van Wallendael, Ahmed Aldahdooh, Sebastian Bosse, Lucjan Janowski, Marcus Barkowsky, and Enrico Masala. "On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics." IEEE Access 9 (2021): 152923–37. http://dx.doi.org/10.1109/access.2021.3127395.

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Islam, Maheen, M. Lutfar Rahman, and Mamun-Or Rashid. "An Efficient Traffic-Load and Link-Interference Aware Routing Metric for Multi Radio Multi Channel Wireless Mesh Networks Based on Link’s Effective Capacity Estimation." Computer and Information Science 7, no. 4 (October 30, 2014): 129. http://dx.doi.org/10.5539/cis.v7n4p129.

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Routing metrics proposed for Wireless Mesh Networks (WMNs) has various concerns like hop count, packet transmission delay, power consumption, congestion control, load balance and message collision. The routing metric of expected effective capacity (EEC) proposed in this paper guarantees to a select a path providing maximum throughput and minimum delay. A forwarding link constituting routing path is characterized by its quality, capacity, traffic demand and the degree of intervention experienced due to inter-flow and intra-flow interference. Thus the bandwidth actually attainable on a link for a flow is affected by those link properties. Our proposed metric computes the attainable bandwidth for a flow over a path which actually reflects congestion, node delay and traffic pressure on the desired path. Experiments conducted on ns-2 simulations demonstrate that our proposed routing metric can achieve significant improvements in overall network throughput, minimize end-to-end delay and able to distribute network load.

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Idrissou, Al, Frank van Harmelen, and Peter van den Besselaar. "Network metrics for assessing the quality of entity resolution between multiple datasets1." Semantic Web 12, no. 1 (November 19, 2020): 21–40. http://dx.doi.org/10.3233/sw-200410.

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Matching entities between datasets is a crucial step for combining multiple datasets on the semantic web. A rich literature exists on different approaches to this entity resolution problem. However, much less work has been done on how to assess the quality of such entity links once they have been generated. Evaluation methods for link quality are typically limited to either comparison with a ground truth dataset (which is often not available), manual work (which is cumbersome and prone to error), or crowd sourcing (which is not always feasible, especially if expert knowledge is required). Furthermore, the problem of link evaluation is greatly exacerbated for links between more than two datasets, because the number of possible links grows rapidly with the number of datasets. In this paper, we propose a method to estimate the quality of entity links between multiple datasets. We exploit the fact that the links between entities from multiple datasets form a network, and we show how simple metrics on this network can reliably predict their quality. We verify our results in a large experimental study using six datasets from the domain of science, technology and innovation studies, for which we created a gold standard. This gold standard, available online, is an additional contribution of this paper. In addition, we evaluate our metric on a recently published gold standard to confirm our findings.

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Liu, Linlan, Yi Feng, Shengrong Gao, and Jian Shu. "Link quality estimation based on over-sampling and weighted random forest." Computer Science and Information Systems, no. 00 (2021): 41. http://dx.doi.org/10.2298/csis201218041l.

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Aiming at the imbalance problem of wireless link samples, we propose the link quality estimation method which combines the K-means synthetic minority over-sampling technique (K-means SMOTE) and weighted random forest. The method adopts the mean, variance and asymmetry metrics of the physical layer parameters as the link quality parameters. The link quality is measured by link quality level which is determined by the packet receiving rate. K-means is used to cluster link quality samples. SMOTE is employed to synthesize samples for minority link quality samples, so as to make link quality samples of different link quality levels reach balance. Based on the weighted random forest, the link quality estimation model is constructed. In the link quality estimation model, the decision trees with worse classification performance are assigned smaller weight, and the decision trees with better classification performance are assigned bigger weight. The experimental results show that the proposed link quality estimation method has better performance with samples processed by K-means SMOTE. Furthermore, it has better estimation performance than the ones of Naive Bayesian, Logistic Regression and K-nearest Neighbour estimation methods.

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Laqtib, Safaa, Khalid El Yassini, and Moulay Lahcen Hasnaoui. "Link-state QoS routing protocol under various mobility models." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (November 1, 2019): 906. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp906-916.

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Mobile Ad Hoc Network (MANET) consists of a group of mobile or wireless nodes that are placed randomly and dynamically that causes the continual change between nodes. A mobility model attempts to mimic the movement of real mobile nodes that change the speed and direction with time. The mobility model that accurately represents the characteristics of the mobile nodes in an ad hoc network is the key to examine whether a given protocol. The aim of this paper is to compare the performance of four different mobility models (i.e. Random Waypoint, Random Direction, Random walk, and Steady-State Random Waypoint) in MANET. These models were configured with Optimized Link State Routing (OLSR) protocol under three QoS (Quality of Service) <a title="Learn more about Metrics" href="https://www.sciencedirect.com/topics/engineering/metrics">metrics</a> such as the Packet Delivery Ratio (PDR), Throughput, End-to-End delay. The simulation results show the effectiveness of Steady-State Random Waypoint Mobility Models and encourage further investigations to extend it in order to guarantee other QoS requirements.

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Panattoni, Laura, Catherine Fedorenko, Karma Kreizenbeck, Qin Sun, Lily Li, Ted Conklin, Gary H. Lyman, and Scott D. Ramsey. "Lessons From Reporting National Performance Measures in a Regional Setting: Washington State Community Cancer Care Report." Journal of Oncology Practice 14, no. 12 (December 2018): e801-e814. http://dx.doi.org/10.1200/jop.18.00410.

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Regional public reporting of performance measures in oncology can facilitate local decision making across stakeholders, but small numbers of patients and clinics pose a challenge to creating statistically robust measures. In this article, we describe our development of the Community Cancer Care in Washington State: Quality and Cost Report, the first publicly available report showing clinic-level quality and cost measures at the regional level. We learned key lessons in how to adapt national performance reporting to our regional setting using a registry-linked multipayer claims database. In short, limited numbers of eligible patients for some nationally recognized metrics led us to group metrics and use a 3-year performance window. After completing clinic attribution and other requirements of metric construction, the final metrics included between 62.9% and 88.4% of the eligible patients. To link total costs to some quality measures, we had to define a treatment and surveillance episode of care. Risk adjustment was challenged by the ability to include a limited number of risk adjustors and their potential concentration in a few clinics. We used a different quality score than national performance reporting to account for variation in the range of risk-standardized rates. Current methodology does not permit us to determine whether clinically meaningful differences in quality or costs exist, which inhibits value comparisons. Stakeholder engagement was critical for providing methodologic feedback. In conclusion, we found that refining national metrics was necessary to facilitate public reporting in a regional setting. Further methodologic development can strengthen public reporting and future applications.

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Isyaku, Babangida, Kamalrulnizam Abu Bakar, Mohd Soperi Mohd Zahid, Eman H. Alkhammash, Faisal Saeed, and Fuad A. Ghaleb. "Route Path Selection Optimization Scheme Based Link Quality Estimation and Critical Switch Awareness for Software Defined Networks." Applied Sciences 11, no. 19 (September 29, 2021): 9100. http://dx.doi.org/10.3390/app11199100.

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Software-defined network (SDN) is a new paradigm that decouples the control plane and data plane. This offered a more flexible way to efficiently manage the network. However, the increasing number of traffics due to the proliferation of the Internet of Things (IoT) devices also increase the number of flow arrival which in turn causes flow rules to change more often, and similarly, path setup requests increased. These events required route path computation activities to take place immediately to cope with the new network changes. Searching for an optimal route might be costly in terms of the time required to calculate a new path and update the corresponding switches. However, the current path selection schemes considered only single routing metrics either link or switch operation. Incorporating link quality and switch’s role during path selection decisions have not been considered. This paper proposed Route Path Selection Optimization (RPSO) with multi-constraint. RPSO introduced joint parameters based on link and switches such as Link Latency (LL), Link Delivery Ratio (LDR), and Critical Switch Frequency Score (CWFscore). These metrics encourage path selection with better link quality and a minimal number of critical switches. The experimental results show that the proposed scheme reduced path stretch by 37%, path setup latency by 73% thereby improving throughput by 55.73%, and packet delivery ratio by 12.5% compared to the baseline work.

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Miao, Weiwei, Zhengyang Ding, Hao Tang, Zeng Zeng, Mingxuan Zhang, and Shaqian Zhang. "A Seq2Seq Learning Approach for Link Quality Estimation Based on System Metrics in WSNs." IEEE Access 9 (2021): 44207–16. http://dx.doi.org/10.1109/access.2021.3058191.

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Halliwell, Nicholas. "Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (June 28, 2022): 12880–81. http://dx.doi.org/10.1609/aaai.v36i11.21577.

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Recently, explanation methods have been proposed to evaluate the predictions of Graph Neural Networks on the task of link prediction. Evaluating explanation quality is difficult without ground truth explanations. This thesis is focused on providing a method, including datasets and scoring metrics, to quantitatively evaluate explanation methods on link prediction on Knowledge Graphs.

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Cherif, Moussa Ali, Mohamed Kamel Feraoun, and Sofiane Boukli Hacene. "Link Quality and MAC-Overhead Aware Predictive Preemptive Multipath Routing Protocol for Mobile Ad Hoc Networks." Applied Mechanics and Materials 513-517 (February 2014): 812–21. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.812.

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In Ad Hoc networks, route failure may occur due to less received power, mobility, congestion and node failures. Many approaches have been proposed in literature to solve this problem, where a node predicts pre-emptively the route failure that occurs with the less received power. However, these approaches encounter some difficulties, especially in scenario without mobility where route failures may arise. In this paper, we propose an improvement of AOMDV protocol called LO-PPAOMDV (Link Quality and MAC-Overhead aware Predictive Preemptive AOMDV). This protocol is based on new metric combine two routing metrics (Link Quality, MAC Overhead) between each node and one hop neighbor. Also we propose a cross-layer networking mechanism to distinguish between both situations, failures due to congestion or mobility, and consequently avoiding unnecessary route repair process. The LO-PPAOMDV was implemented using NS-2. The simulation results show that our approach improves the overall performance of the network. It reduces the average end to end delay, the routing overhead, and increases the throughput and packet delivery fraction of the network.

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Plotkin, Charles, and Kee Moon. "Using Expanded QFD Matrix Analysis to Establish and Link Test Instrumentation to Customer Satisfaction Attributes." Journal of the IEST 49, no. 1 (June 20, 2006): 90–101. http://dx.doi.org/10.17764/jiet.49.1.p7654nj4v4893121.

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When reliability testing is performed, the focus is often on engineering metrics such as changes in part dimension or material properties that are of interest to the design engineer. This focus can result in missing failure or degradation conditions that affect customer satisfaction with the product. There is a need for a structured approach to plan the test, engineering metrics, and measurement system (instrumentation) on product or system attributes that contribute to customer satisfaction. This paper shows how a simple needs-metrics matrix (a common element used in Quality Function Deployment or QFD) can be expanded to serve as a structured tool to establish laboratory test instrumentation for objective measurements in a reliability test. This paper also shows how the matrix can be further expanded to include results of interim subjective evaluations. This expanded matrix can then be used to readily relate the results of reliability testing as well as subjective testing to potential impact on customer satisfaction.

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Song, Ling, Tao Shen Li, and Yan Chen. "A Real Time Video Transmission Routing Protocol in Multi-Interface Multi-Channel Ad Hoc Based on Queue Length and Delay Contraint." Applied Mechanics and Materials 241-244 (December 2012): 2354–61. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2354.

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Real-time video transmission demands tremendous bandwidth, throughput and strict delay. For transmitting real-time video in the multi-interface multi-channel Ad hoc, firstly, we applied multi-interface multi-channel extension methods to the AOMDV (Ad-hoc On-demand Multipath Distance Vector) routing protocol, and improved extant channel switching algorithm, called MIMC-AOMDV (Multi-Interface Multi-Channel AOMDV) routing protocol. Secondly, we proposed video streaming delay QoS(Quality of Service) constraint and link-quality metrics, which used the multi interface queue’s total used length to get QMMIMC-AOMDV (Quality metric MIMC -AOMDV) routing protocol. The simulations show that the proposed QMMIMC-AOMDV can reduce the frame delay effectively and raise frame decodable rate and peak signal to noise ratio (PSNR), it is more suitable for real-time video streams.

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Hearst, Marti, and Susan Dumais. "Blogging Together: An Examination of Group Blogs." Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (March 20, 2009): 226–29. http://dx.doi.org/10.1609/icwsm.v3i1.13976.

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This paper presents the first examination of the growing phenomenon of multi-author, or group blogs. Using a large collection of blog posts gathered over an eight month period, we conducted some quantitative assessments. Multi-author blogs were found to differ significantly from single-and-two author blogs on several quality metrics, including having longer posts on average and being ranked higher according to an in-link metric. Visualization of patterns of posting revealed that individual authors often dominate the posts in multi-author blogs, and that in some cases tags are shared, but usually not extensively.

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Lopes Gomes, Rafael, Waldir Moreira Junior, Eduardo Cerqueira, and Antônio Jorge Abelém. "Using fuzzy link cost and dynamic choice of link quality metrics to achieve QoS and QoE in wireless mesh networks." Journal of Network and Computer Applications 34, no. 2 (March 2011): 506–16. http://dx.doi.org/10.1016/j.jnca.2010.03.026.

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Halpern, Michael T., Hamlet Gasoyan, and William E. Aaronson. "Metrics to evaluate the performance of cancer center leadership." Journal of Clinical Oncology 37, no. 27_suppl (September 20, 2019): 10. http://dx.doi.org/10.1200/jco.2019.37.27_suppl.10.

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10 Background: Cancer centers are diverse health care organizations that involve clinicians and researchers focused on understanding, treating, and controlling cancer in the populations they serve. While there are many metrics used to evaluate cancer center performance, few standardized measures have been identified to evaluate the performance of cancer center leadership. The goal of this manuscript is to systematically identify, compare, and categorize metrics used to evaluate the leadership of U.S. cancer centers. Methods: We performed a structured, systematic electronic search of peer-reviewed journals using Medline to identify English language articles discussing metrics used to evaluate cancer center leadership. Identified studies were reviewed by two independent reviewers to determine appropriateness for inclusion. Metrics were classified using ten a priori-defined categories of evaluation for data abstraction. Results: We included 34 manuscripts in this review. The most commonly-discussed evaluation metric category is organizational strategy/planning (31 of the 34 papers), followed by leader characteristics (25 papers), clinical performance (21), and facility characteristics (20). Organizational strategy/planning include governance structure; strategic development; quality assurance/improvement; mission/vision; business planning; and program development. Leader characteristic metrics include communication; vision/strategic thinking; personal skills; team coordination; leadership style; and staff development. Clinical Performance metrics focus on delivery of and outcomes from clinical services while facility characteristics include space allocation and access to support services. Conclusions: The metrics reviewed and synthesized in this report may be considered measurable outcomes to evaluate whether cancer center leadership demonstrates key competencies. Additional research is needed to explore the link between metrics used to evaluate cancer center leaders, the desired competencies for healthcare leaders, and objective measures of whether a cancer center is “successful”.

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J. Hasan, Hasan, Zeyad Adnan Saleh, and Mazin Ali Abd Ali. "The usage of optical wireless communication for an indoor channel link." Mustansiriyah Journal for Sciences and Education 20, no. 5 (June 6, 2019): 13–22. http://dx.doi.org/10.47831/mjse.v20i5.669.

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Optical wireless communication using white LEDs is the latest research field for next-generation communication by using new technology termed as Light Fidelity or more commonly known as Li-Fi. This term indicate to the data transition in an indoor channel. In this paper we investigated the performance of Li-Fi for indoor channel and take into account the line of the sight (LOS) and non line of sight (NLOS). There are different metrics used to assessment system such as quality factor (Q-Factor) and bet error rate (BER). The results show that the Li-Fi technology can be working with a good performance. Also, the increase in optical link leads to a weak in the record signal

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Alwan, Hind, and Anjali Agarwal. "MQoSR: A Multiobjective QoS Routing Protocol for Wireless Sensor Networks." ISRN Sensor Networks 2013 (June 4, 2013): 1–12. http://dx.doi.org/10.1155/2013/495803.

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With the growing demand for quality-of-service (QoS) aware routing protocol in wireless networks, QoS-based routing has emerged as an interesting research topic. Quality of service guarantee in wireless sensor networks (WSNs) is difficult and more challenging due to the fact that the available resources of sensors and the various applications running over these networks have different constraints in their nature and requirements. In this paper, we present a heuristic neighbor selection mechanism in WSNs that uses the geographic routing mechanism combined with the QoS requirements to provide multiobjective QoS routing (MQoSR) for different application requirements. The problem of providing QoS routing is formulated as link, and path-based metrics. The link-based metrics are partitioned in terms of reliability, delay, distance to sink, and energy, and the path-based metrics are presented in terms of end-to-end delay, reliability of data transmission, and network lifetime. The simulation results demonstrate that MQoSR protocol is able to achieve the delay requirements, and due to optimum path selection process, the achieved data delivery ratio is always above the required one. MQoSR protocol outperforms the existing model in the literature remarkably in terms of reliable data transmission, time data delivery, and routing overhead and underlines the importance of energy-efficient solution to enhance network lifetime.

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Katiravan, Jeevaa, D. Sylvia, and D. Srinivasa Rao. "Energy Efficient Link Aware Routing with Power Control in Wireless Ad Hoc Networks." Scientific World Journal 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/576754.

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In wireless ad hoc networks, the traditional routing protocols make the route selection based on minimum distance between the nodes and the minimum number of hop counts. Most of the routing decisions do not consider the condition of the network such as link quality and residual energy of the nodes. Also, when a link failure occurs, a route discovery mechanism is initiated which incurs high routing overhead. If the broadcast nature and the spatial diversity of the wireless communication are utilized efficiently it becomes possible to achieve improvement in the performance of the wireless networks. In contrast to the traditional routing scheme which makes use of a predetermined route for packet transmission, such an opportunistic routing scheme defines a predefined forwarding candidate list formed by using single network metrics. In this paper, a protocol is proposed which uses multiple metrics such as residual energy and link quality for route selection and also includes a monitoring mechanism which initiates a route discovery for a poor link, thereby reducing the overhead involved and improving the throughput of the network while maintaining network connectivity. Power control is also implemented not only to save energy but also to improve the network performance. Using simulations, we show the performance improvement attained in the network in terms of packet delivery ratio, routing overhead, and residual energy of the network.

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Ghorpade, Vijay R., and Shailendra Aswale. "Performance evaluation of various link quality metrics using cross layer routing for wireless multimedia sensor networks." International Journal of Communication Networks and Distributed Systems 23, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijcnds.2019.10021070.

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Aswale, Shailendra, and Vijay R. Ghorpade. "Performance evaluation of various link quality metrics using cross layer routing for wireless multimedia sensor networks." International Journal of Communication Networks and Distributed Systems 23, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijcnds.2019.100639.

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Priyanshu M, Venkatesh Subramanya Iyer Giri, Shachi P, Geetishree Mishra, and Suma M N. "AI powered solution for radio link failure prediction based on link features and weather forecast." ITU Journal on Future and Evolving Technologies 3, no. 2 (September 22, 2022): 165–74. http://dx.doi.org/10.52953/odqq8049.

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Radio link sustainability gets affected by weather adversities such as snow, fog, cloud, rain, thunderstorm, etc. A proactive solution in radio link failure scenarios is necessary to overcome economic loss and maintain the Quality of Service (QoS). To address the issue, our work contributes towards building a machine-learning-based solution to predict the radio link failure when generic regional weather forecast data, key performance indices of radio link and spatial nature of the data are available. After rigorous data preprocessing, ensembling models like logistic regression, random forest, light BGM, XGBoost and gradient boosting classifiers were trained to predict the Radio Link Failure (RLF) for two cases i.e., day-1-predict and day-5-predict. Since it is a classification use case, the metrics used for our work are precision, recall, and F1 score. The performance of the gradient boosting classifier was better as compared to the other models with an F1 score of 0.95 for both day-1-predict and day-5-predict.

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Al-Shehri, Salman, and Pavel Loskot. "Enhancing Reliability of Tactical MANETs by Improving Routing Decisions." Journal of Low Power Electronics and Applications 8, no. 4 (November 28, 2018): 49. http://dx.doi.org/10.3390/jlpea8040049.

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Mobile ad-hoc networks (MANETs) have been primarily designed to enhance tactical communications in a battlefield. They provide dynamic connectivity without requiring any pre-existing infrastructure. Their multi-hop capabilities can improve radio coverage significantly. The nature of tactical MANET operations requires more specialized routing protocols compared to the ones which are used in commercial MANET. Routing decisions in MANETs are usually conditioned on signal-to-interference-plus-noise ratio (SINR) measurements. In order to improve routing decisions for use in highly dynamic tactical MANETs, this paper proposes to combine two different metrics to achieve reliable multicast in multi-hop ad hoc networks. The resulting protocol combining received signal strength (RSS) with SINR to make routing decisions is referred to as Link Quality Aware Ad-hoc On-Demand Distance Vector (LQA-AODV) routing. The proposed routing protocol can quickly adapt to dynamic changes in network topology and link quality variations often encountered in tactical field operations. Using computer simulations, the performance of proposed protocol is shown to outperform other widely used reactive routing protocols assuming several performance metrics.

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Alsuhli, Ghada H., Ahmed Khattab, and Yasmine A. Fahmy. "Double-Head Clustering for Resilient VANETs." Wireless Communications and Mobile Computing 2019 (March 3, 2019): 1–17. http://dx.doi.org/10.1155/2019/2917238.

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Scalability and the highly dynamic topology of Vehicular Ad Hoc Networks (VANETs) are the biggest challenges that slow the roll-out of such a promising technology. Adopting an effective VANET clustering algorithm can tackle these issues in addition to benefiting routing, security and media access management. In this paper, we propose a general-purpose resilient double-head clustering (DHC) algorithm for VANET. Our proposed approach is a mobility-based clustering algorithm that exploits the most relevant mobility metrics such as vehicle speed, position, and direction, in addition to other metrics related to the communication link quality such as the link expiration time (LET) and the signal-to-noise ratio (SNR). The proposed algorithm has enhanced performance and stability features, especially during the cluster maintenance phase, through a set of procedures developed to achieve these objectives. An extensive evaluation methodology is followed to validate DHC and compare its performance with another algorithm using different existing and newly proposed evaluation metrics. These metrics are analyzed under various mobility scenarios, vehicle densities, and radio channel models such as log-normal shadowing and two-ray ground loss with and without Nakagami-m fading model. The proposed algorithm DHC has proven its ability to be more stable and efficient under different simulation scenarios.

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Homburg, Timo. "Connecting Semantic Situation Descriptions with Data Quality Evaluations—Towards a Framework of Automatic Thematic Map Evaluation." Information 11, no. 11 (November 15, 2020): 532. http://dx.doi.org/10.3390/info11110532.

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A continuing question in the geospatial community is the evaluation of fitness for use of map data for a variety of use cases. While data quality metrics and dimensions have been discussed broadly in the geospatial community and have been modelled in semantic web vocabularies, an ontological connection between use cases and data quality expressions allowing reasoning approaches to determine the fitness for use of semantic web map data has not yet been approached. This publication introduces such an ontological model to represent and link situations with geospatial data quality metrics to evaluate thematic map contents. The ontology model constitutes the data storage element of a framework for use case based data quality assurance, which creates suggestions for data quality evaluations which are verified and improved upon by end-users. So-created requirement profiles are associated and shared to semantic web concepts and therefore contribute to a pool of linked data describing situation-based data quality assessments, which may be used by a variety of applications. The framework is tested using two test scenarios which are evaluated and discussed in a wider context.

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Sotirakou, Catherine, Damian Trilling, Panagiotis Germanakos, Dimitrios Alexandros Sinis, and Constantinos Mourlas. "Understanding the link between audience engagement metrics and the perceived quality of online news using machine learning." Web Intelligence 19, no. 1-2 (December 3, 2021): 63–86. http://dx.doi.org/10.3233/web-210457.

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This article aims to explain the perceived quality of online news articles. Discovering which elements of a news story influence readers’ perceptions could drive online popularity, which is the paramount factor of digital news readership. This work explores an approach to use tree-based machine learning algorithms to address this problem based on selected characteristics, which measure engagement, drawn from prior research mostly developed by communication scientists. A proposed extended model is used to examine the association between the engagement features and perceived quality concerning all the articles depending mainly on their genre. To demonstrate the capacity of using predictive analytics to facilitate journalistic news writing the proposed methodology is applied on a novel data set with 200K articles in total constructed from a blog site. The results of phase A, indicate interesting correlations between the features and the perceived quality of the articles. In stage B, the paper seeks to extract a set of rules that can be used as guidelines for authors in the writing of their next articles, indicating the probability of popularity that their articles may gain if these rules are taken into consideration.

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Tang, Weisheng, Xiaoyuan Ma, Jun Huang, and Jianming Wei. "Toward Improved RPL: A Congestion Avoidance Multipath Routing Protocol with Time Factor for Wireless Sensor Networks." Journal of Sensors 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8128651.

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Designing routing protocols in Low power and Lossy Networks (LLNs) imposes great challenges. In emergency scenarios, the large and rapid data traffic caused by emergencies will lead to network congestion and bring about significant packet loss and delay. Routing protocol for LLNs (RPL) is the IETF standard for IPv6 routing in LLNs. The basic version of RPL uses Expected Transmission Count (ETX) as the default routing metric; it cannot solve the problem of sudden large data traffic. In this paper, we propose a congestion avoidance multipath routing protocol which uses composite routing metrics based on RPL, named CA-RPL. A routing metric for RPL that minimized the average delay towards the DAG root is proposed, and the weight of each path is computed by four metrics. The mechanism is explained and its performance is evaluated through simulation experiments based on Contiki. Simulation results show that the proposed CA-RPL reduces the average time delay by about 30% compared to original RPL when the interpacket interval is short and has almost 20% reduction in packet loss ratio. The CA-RPL can effectively alleviate the network congestion in the network with poor link quality and large data traffic and significantly improve the performance of LLNs.

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Kim, Seongkwan, Okhwan Lee, Sunghyun Choi, and Sung-Ju Lee. "Comparative analysis of link quality metrics and routing protocols for optimal route construction in wireless mesh networks." Ad Hoc Networks 9, no. 7 (September 2011): 1343–58. http://dx.doi.org/10.1016/j.adhoc.2011.03.011.

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Galaviz-Mosqueda, Alejandro, Salvador Villarreal-Reyes, Hiram Galeana-Zapién, Javier Rubio-Loyola, and David H. Covarrubias-Rosales. "Reliable Multihop Broadcast Protocol with a Low-Overhead Link Quality Assessment for ITS Based on VANETs in Highway Scenarios." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/359636.

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Vehicular ad hoc networks (VANETs) have been identified as a key technology to enable intelligent transport systems (ITS), which are aimed to radically improve the safety, comfort, and greenness of the vehicles in the road. However, in order to fully exploit VANETs potential, several issues must be addressed. Because of the high dynamic of VANETs and the impairments in the wireless channel, one key issue arising when working with VANETs is the multihop dissemination of broadcast packets for safety and infotainment applications. In this paper a reliable low-overhead multihop broadcast (RLMB) protocol is proposed to address the well-known broadcast storm problem. The proposed RLMB takes advantage of the hello messages exchanged between the vehicles and it processes such information to intelligently select a relay set and reduce the redundant broadcast. Additionally, to reduce the hello messages rate dependency, RLMB uses a point-to-zone link evaluation approach. RLMB performance is compared with one of the leading multihop broadcast protocols existing to date. Performance metrics show that our RLMB solution outperforms the leading protocol in terms of important metrics such as packet dissemination ratio, overhead, and delay.

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Vimala, K., and Dr D. Maruthanayagam. "Comparative Analysis of Routing Algorithms to Enhance the Quality of Service in MANET." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 1 (May 30, 2022): 108–15. http://dx.doi.org/10.35940/ijrte.a6949.0511122.

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Mobile Ad hoc Network is a self-organizing, infrastructure-free, distributed wireless networks made up of various mobile devices. Quality-of-Service routing is most difficult task in MANET due to inherent characteristics–for example frequent dynamic topology, node mobility, resource scarcity, absence of centralized control, etc as well. The QoS variables of any MANET routing algorithms determine its performance. QoS routing is process of routing packets from source (S) to destination (D) based on QoS resource constraints such as bandwidth, delay, packet loss rate, cost, security, link stability, and so on. Swarm intelligence, which mimics the collective behaviour of biological organisms to handle routing problems and improve QoS in the network, has been one of most popular studies for network routing in recent years. Particle Swarm Optimization algorithm (PSO), Genetic Algorithm (GA) and Ant Colony Optimization algorithm (ACO) have all been shown to be effective for developing routing algorithms by improving QoS metrics in ad hoc networks using Swarm Intelligence (SI). The primary objective of this comparative study paper is to improve QoS parameters by applying swarm intelligence to MANET routing algorithms. Swarm intelligence-based routing algorithms will be more promising for the specific nature of adhoc networks, outperforming in real scenarios/constraints/environmental conditions and will be tuned and simulated to obtain an efficient and effective MANET routing protocol. This paper investigates four potential pre-existing approaches proposed for MANET routing problems. These routing algorithms are evaluated using various performance metrics such as packet delivery ratio, routing overhead, link failure prevention, energy consumption, accuracy, and throughput, among others.

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Abdu, Abdullahi Ibrahim, Oguz Bayat, and Osman Nur Ucan. "Designing insistence-aware medium access control protocol and energy conscious routing in quality-of-service-guaranteed wireless body area network." International Journal of Distributed Sensor Networks 15, no. 1 (January 2019): 155014771881584. http://dx.doi.org/10.1177/1550147718815843.

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Wireless body area network is a type of wireless sensor network that enables efficient healthcare system. To minimize frequent sensor replacement due to resource restrictions, it is necessary to improve energy efficiency in wireless body area network. This article deals with energy efficiency and quality-of-service improvement together in novel wireless body area network architecture. A novel wireless body area network architecture is designed with dual sink nodes in order to minimize delay and energy consumption. A novel insistence-aware medium access control protocol which is aware of criticality of sensed data is presented in the proposed wireless body area network. Prior knowledge-based weighted routing algorithm is responsible to select optimal route for data transmission. In prior knowledge-based weighted routing, weight value is computed by considering significant metrics such as residual energy, link stability, distance, and delay in order to improve energy efficiency and quality of service in the network. Energy consumption is further minimized by incorporating graph-based sleep scheduling algorithm. In graph-based sleep scheduling, criticality of sensor node is also considered as major metric. In coordinator, split and map–based neural network classifier is involved to perform packet classification. After classification, packets are assigned to corresponding sink node according to packet type. Then, throughput and delay metrics are improved by frame aggregation process which is involved in sink node. Extensive simulation in OMNeT++ shows better performance in network lifetime, throughput, residual energy, dropped packets, and delay.

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Knowlton, Lisa M., Tanya Zakrison, Lillian S. Kao, Marta L. McCrum, Suresh Agarwal,, Brandon Bruns, Kathie-Ann Joseph, and Cherisse Berry. "Quality care is equitable care: a call to action to link quality to achieving health equity within acute care surgery." Trauma Surgery & Acute Care Open 8, no. 1 (May 2023): e001098. http://dx.doi.org/10.1136/tsaco-2023-001098.

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Health equity is defined as the sixth domain of healthcare quality. Understanding health disparities in acute care surgery (defined as trauma surgery, emergency general surgery and surgical critical care) is key to identifying targets that will improve outcomes and ensure delivery of high-quality care within healthcare organizations. Implementing a health equity framework within institutions such that local acute care surgeons can ensure equity is a component of quality is imperative. Recognizing this need, the AAST (American Association for the Surgery of Trauma) Diversity, Equity and Inclusion Committee convened an expert panel entitled ‘Quality Care is Equitable Care’ at the 81st annual meeting in September 2022 (Chicago, Illinois). Recommendations for introducing health equity metrics within health systems include: (1) capturing patient outcome data including patient experience data by race, ethnicity, language, sexual orientation, and gender identity; (2) ensuring cultural competency (eg, availability of language services; identifying sources of bias or inequities); (3) prioritizing health literacy; and (4) measuring disease-specific disparities such that targeted interventions are developed and implemented. A stepwise approach is outlined to include health equity as an organizational quality indicator.

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Fatih Erden, Ozgur Ozdemir, Ismail Guvenc, and David W. Matolak. "EMR: A new metric to assess the resilience of directional mmWave channels to blockages." ITU Journal on Future and Evolving Technologies 2, no. 2 (September 20, 2021): 47–60. http://dx.doi.org/10.52953/hzob9789.

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Millimeter-wave (mmWave) communication systems require narrow beams to compensate for high path loss and to increase the communication range. If an obstacle blocks the dominant communication direction, alternative paths (directions) should be quickly identified to maintain reliable connectivity. In this paper, we introduce a new metric to quantify the Effective Multipath Richness (EMR) of a directional communication channel in the angular domain. In particular, the proposed metric takes into account the strength and spatial diversity of the resolved Multipath Components (MPCs), while also considering the beamwidth of the communication link and the blockage characteristics. The metric is defined as a weighted sum of the number of distinct MPC clusters in the angular domain, where the clustering of the MPCs is performed based on the cosine-distance between the dominant MPCs. For a given transmitter (TX) and receiver (RX) pair, the EMR is a single scalar value that characterizes the robustness of the communication link against blockages, as it captures the number of unique communication directions that can be utilized. It is also possible to characterize the blockage robustness for the whole environment by evaluating the spatial distribution of the EMR metric considering various different TX/RX locations. Using our proposed metric, one can assess the scattering richness of different environments to achieve a particular service quality. We evaluate the proposed metric using our 28 GHz channel measurements in a library environment for Line-of-Sight (LOS) and NLOS scenarios, and compare it with some other commonly used propagation metrics. We argue that EMR is especially informative at higher frequencies, e.g., mmWave and terahertz (THz), where the propagation attenuation is high, and directional Non-Light-of-Sight (NLOS) communication is critical for the success of the network.

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Imhof, Gustavo, and Phil Klaus. "The dawn of traditional CX metrics? Examining satisfaction, EXQ, and WAR." International Journal of Market Research 62, no. 6 (May 23, 2019): 673–88. http://dx.doi.org/10.1177/1470785319848955.

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Customer experience (CX) has evolved into a top priority of business executives worldwide. CX is a key determinant of long-term corporate success. CX research has become commonplace among academics and marketing practitioners alike. Despite CX’s omnipresence, scholars and managers cannot agree on the meaning, foundations of CX, and develop enough evidence and tools to demonstrate CX’s crucial link to firm performance. Many argue that market researchers, by still relying on proxy measurements of CX, such as service quality, customer satisfaction, or the Net-Promoter-Score, all measurements with very little or no link to consumer behavior, are to be partially blamed for this predicament. As a result, there is a growing need for new, more comprehensive measurements built to understand the CX as main driver of consumer behavior. Scholars try to address this need by offering new measures, such as CX quality (EXQ), and the wallet allocation rule (WAR). The goal of our article is to use one of the most used measurements, customer satisfaction, in comparison with EXQ and WAR to determine which one of them can explain and predict consumer behavior best. Behavior is measured by examining the share-of-category of customers with multiple automobiles. The study highlighted that CX is a far better predictor of consumer behavior than customer satisfaction. Indeed, it provides more insight and a stronger explanatory power of consumers’ share-of-wallet (SoW). The findings confirmed that customer satisfaction has a weak influence on share-of-category. We could not confirm the proposed powerful correlation between share-of-category and the WAR. The most interesting finding is that the direct relationship between CX and SoW is negative in nature. We discuss the reasons for this counterintuitive result and its implication for theory, managers, and market researchers.

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Mothku, Sai Krishna, and Rashmi Ranjan Rout. "Adaptive Fuzzy-Based Energy and Delay-Aware Routing Protocol for a Heterogeneous Sensor Network." Journal of Computer Networks and Communications 2019 (January 2, 2019): 1–11. http://dx.doi.org/10.1155/2019/3237623.

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In a heterogeneous sensor actor network, packet loss may occur due to bad link quality, overflow of buffer, and low energy levels. Retransmission of the lost packets leads to more energy consumption and delay. Ensuring data reliability and minimum delay requirement while improving energy efficiency are challenging issues in a resource-constrained heterogeneous sensor actor network. In this paper, a fuzzy-based delay and energy-aware intelligent routing mechanism has been proposed to select efficient routes. In the proposed mechanism, routing decisions are taken using a fuzzy logic system by considering network resources, such as residual energy, quality of link, available buffer size, and distance (proximity). In a network, a node with higher residual energy, higher free available buffer, good link quality, and close distance (proximity) gets opportunity to become a next hop node in a routing path. Furthermore, network performance has been analyzed with various network states. Simulation has been carried out using Network Simulator 3 by considering performance metrics, such as delay, number of retransmissions, energy consumption, lifetime, and network stability of the network.

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Stokes, Thomas A., Douglas J. Gillan, and Jeffery P. Braden. "Establishing the Link Between Usability and Student Satisfaction in Adaptive Online Learning." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 1976–80. http://dx.doi.org/10.1177/1541931213601450.

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Online courses present a new element to learners in college courses. Interfaces (web pages) take the place of an instructor as the primary information delivery system. In other words, a student’s learning experience is now tied to the quality of a course’s human- computer interaction. One emerging method of online course delivery is an adaptive course that tailors to individual students needs, abilities, or preferences. There has been much work done on the algorithms that allow the course to adapt to individual students, but there seems to be a lack of research into the usability of these interfaces and how their quality affects student performance and satisfaction. This paper presents some of the data that was collected in a larger, grant-supported project and establishes relationships between usability metrics (ease of use and perceived usefulness) and student satisfaction and outcome measures in adaptive-online courses.

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Barki, Omar, Zouhair Guennoun, and Adnane Addaim. "Improving the selection of MPRs in OLSR protocol: a survey of methods and techniques." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (February 1, 2020): 288. http://dx.doi.org/10.11591/ijece.v10i1.pp288-295.

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Multi Point Relays (MPRs) are those nodes that are calculated and determined by the Optimized Link State Routing protocol (OLSR) in order to minimize and avoid overload inside the Mobile Ad hoc Network (MANET). In this paper, we will present a synthetic study of many techniques and methods for calculating and selecting the MPR nodes using a set of criteria namely energy, mobility, bandwidth, the quality of links, etc. The result of this study shows that most techniques consider a limited number of metrics for selecting the MPR nodes and therefore they are insufficient to allow the OLSR protocol to be quite complete and efficient because several metrics can occur at the same time in the real execution environment.

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Chaudhari D. A. and Umamaheswari E. "Adaptive Deep Rider LSTM-Enabled Objective Functions for RPL Routing in IoT Applications." International Journal of Information Security and Privacy 16, no. 1 (January 2022): 1–17. http://dx.doi.org/10.4018/ijisp.285583.

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This paper presents a proposed Objective Function (OF) design using various routing metrics for improving the performance of IoT applications. The most important idea of the proposed design is the selection of the routing metrics with respect to the application requirements. The various metrics, such as Energy, Distance, Delay, Link quality, Trust (EDDLT) are used for improving the objective function design of the RPL in various IoT applications. Here, the Adaptive Deep rider LSTM is newly employed for the energy prediction where the Adaptive Deep Rider LSTM is devised by the combination of the adaptive theory with the Rider Adam Algorithm (RAA), and the Deep-Long Short Memory (Deep-LSTM). However, the evaluation of the proposed method is carried out energy dissipation, throughput, and delay by achieving a minimum energy dissipation of 0.549, maximum throughput of 1, and a minimum delay of 0.191, respectively.

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Panibratov, Roman, and Petro Bidyuk. "Estimation of the parameters of generalized linear models in the analysis of actuarial risks." System research and information technologies, no. 2 (June 30, 2023): 139–48. http://dx.doi.org/10.20535/srit.2308-8893.2023.2.10.

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Methods of estimating the parameters of generalized linear models for the case of paying insurance premiums to clients are considered. The iterative-recursive weighted least squares method, the Adam optimization algorithm, and the Monte Carlo method for Markov chains were implemented. Insurance indicators and the target variable were randomly generated due to the problem of public access to insurance data. For the latter, the normal and exponential law of distribution and the Pareto distribution with the corresponding link functions were used. Based on the quality metrics of model learning, conclusions were made regarding their construction quality.

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Journal articles on the topic 'Link Quality Metrics'

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