Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514964
D. Panno, Salvatore Riolo
In this paper, we propose a new Radio Resource Allocation scheme for Downlink OFDMA-based 5G New Radio, where the scheduler inside a Next Generation Node B jointly allocates Resource Block Groups to users requiring Guaranteed Bit Rate (GBR) or non-GBR services. We propose two different strategies which exploit the complete view of the channel conditions perceived by User Equipements. The goal is to achieve a good trade-off between maximizing the system throughput and improving the fairness among users, while guaranteeing minimum bit rate requirements. We benchmark our approach against other existing resource allocation algorithms via several system-level simulations, under different traffic and channel conditions. The comparative analysis shows that our control scheme outperforms the reference schemes in terms of throughput and fairness, while guaranteeing a larger number of GBR services.
{"title":"A New Joint Scheduling Scheme for GBR and non-GBR Services in 5G RAN","authors":"D. Panno, Salvatore Riolo","doi":"10.1109/CAMAD.2018.8514964","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514964","url":null,"abstract":"In this paper, we propose a new Radio Resource Allocation scheme for Downlink OFDMA-based 5G New Radio, where the scheduler inside a Next Generation Node B jointly allocates Resource Block Groups to users requiring Guaranteed Bit Rate (GBR) or non-GBR services. We propose two different strategies which exploit the complete view of the channel conditions perceived by User Equipements. The goal is to achieve a good trade-off between maximizing the system throughput and improving the fairness among users, while guaranteeing minimum bit rate requirements. We benchmark our approach against other existing resource allocation algorithms via several system-level simulations, under different traffic and channel conditions. The comparative analysis shows that our control scheme outperforms the reference schemes in terms of throughput and fairness, while guaranteeing a larger number of GBR services.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122732341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514995
D. Pubill, Jordi Serra, C. Verikoukis
Wireless Sensor Networks (WSN) devices are usually battery powered and thereby their lifetime is limited. This issue leads to lose data measurements and thus to a performance loss of the underlying WSN application. It also increases the maintenance cost in Internet of Things (IoT) scenarios with a huge number of WSN devices. Energy harvesting (EH) is one of the key technologies to solve this issue. In this paper, energy harvesting by artificial light is proposed to power WSN devices in indoor scenarios. Contrary to the state-of-the-art related work, this paper experimentally demonstrates that it is possible, under certain conditions, to achieve energy neutral WSN devices by harvesting energy from artificial light. The experimental setup consists of an EH module, which powers a WSN source data acquisition node, and a WSN sink node which receives the data sent by the first. The EH module consists of a photovoltaic (PV) cell, a boost converter and a 3V coin battery.
{"title":"Harvesting artificial light indoors to power perpetually a Wireless Sensor Network node","authors":"D. Pubill, Jordi Serra, C. Verikoukis","doi":"10.1109/CAMAD.2018.8514995","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514995","url":null,"abstract":"Wireless Sensor Networks (WSN) devices are usually battery powered and thereby their lifetime is limited. This issue leads to lose data measurements and thus to a performance loss of the underlying WSN application. It also increases the maintenance cost in Internet of Things (IoT) scenarios with a huge number of WSN devices. Energy harvesting (EH) is one of the key technologies to solve this issue. In this paper, energy harvesting by artificial light is proposed to power WSN devices in indoor scenarios. Contrary to the state-of-the-art related work, this paper experimentally demonstrates that it is possible, under certain conditions, to achieve energy neutral WSN devices by harvesting energy from artificial light. The experimental setup consists of an EH module, which powers a WSN source data acquisition node, and a WSN sink node which receives the data sent by the first. The EH module consists of a photovoltaic (PV) cell, a boost converter and a 3V coin battery.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127005770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8515002
Luca Perilli, Matteo Pizzotti, E. Franchi, R. Canegallo
A method is proposed to verify the efficiency of low-power harvesting systems based on Photovoltaic (PV) cells for indoor applications and a Fractional Open-Circuit Voltage (FOCV) technique to track the Maximum Power Point (MPP). It relies on an algorithm to reconstruct the PV cell Power versus Voltage (P-V) characteristic measuring the open circuit voltage and the voltage/current operating point but not the short-circuit current as required by state-of-the-art algorithms. This way the characteristic is reconstructed starting from the two values corresponding to standard operation modes of dc-dc converters implementing the FOCV Maximum Power Point Tracking (MPPT) technique. The method is applied to a prototype system: an external board is connected between the transducer and the dc-dc converter to measure the open circuit voltage and the voltage/current operating values. Experimental comparisons between the reconstructed and the measured P-V characteristics validate the reconstruction algorithm. Experimental results show the method is able to clearly identify the error between the transducer operating point and the one corresponding to the maximum power transfer, whilst also suggesting corrective action on the programmable factor of the FOCV technique. The proposed technique therefore provides a possible way of estimating MPPT efficiency without sampling the full P-V characteristic.
{"title":"PV Cell Characteristic Extraction to Verify Power Transfer Efficiency in Indoor Harvesting System","authors":"Luca Perilli, Matteo Pizzotti, E. Franchi, R. Canegallo","doi":"10.1109/CAMAD.2018.8515002","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8515002","url":null,"abstract":"A method is proposed to verify the efficiency of low-power harvesting systems based on Photovoltaic (PV) cells for indoor applications and a Fractional Open-Circuit Voltage (FOCV) technique to track the Maximum Power Point (MPP). It relies on an algorithm to reconstruct the PV cell Power versus Voltage (P-V) characteristic measuring the open circuit voltage and the voltage/current operating point but not the short-circuit current as required by state-of-the-art algorithms. This way the characteristic is reconstructed starting from the two values corresponding to standard operation modes of dc-dc converters implementing the FOCV Maximum Power Point Tracking (MPPT) technique. The method is applied to a prototype system: an external board is connected between the transducer and the dc-dc converter to measure the open circuit voltage and the voltage/current operating values. Experimental comparisons between the reconstructed and the measured P-V characteristics validate the reconstruction algorithm. Experimental results show the method is able to clearly identify the error between the transducer operating point and the one corresponding to the maximum power transfer, whilst also suggesting corrective action on the programmable factor of the FOCV technique. The proposed technique therefore provides a possible way of estimating MPPT efficiency without sampling the full P-V characteristic.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130575910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8515003
Riad Kouah, Abdelhamid Alleg, Abir Laraba, T. Ahmed
The Internet of Things (IoT) has become a masterpiece in today networks since it provides a way to digitalize our physical world. The proliferation of IoT devices offers new opportunities to enhance many aspects of our daily lives such as eHealth, Smart cities, Domestics, etc. Meanwhile, Network Function Virtualization (NFV) and Software Defined Networking (SDN) technologies are drawing an increasing attention nowadays by offering more flexibility and programmability compared to traditional network solution. We believe that building IoT services on top of NFV/SDN enabling technologies will be one of the key research area in the near future.In this paper, we investigate how NFV concept can be extended to IoT to allow decoupling IoT functionalities from specific dedicated devices. As a result, an IoT device becomes a whitebox that can be augmented with different functionalities instantiated and linked with other cloud-based functions to build end-to-end services. Furthermore, we propose an energy efficient solution for the placement of IoT Service Function Chain (IoTSFC) using an exact Mixed Integer Program (MIP) solution and a Genetic Algorithm (GA) heuristic to deal with scalability issue.
{"title":"Energy-Aware Placement for IoT-Service Function Chain","authors":"Riad Kouah, Abdelhamid Alleg, Abir Laraba, T. Ahmed","doi":"10.1109/CAMAD.2018.8515003","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8515003","url":null,"abstract":"The Internet of Things (IoT) has become a masterpiece in today networks since it provides a way to digitalize our physical world. The proliferation of IoT devices offers new opportunities to enhance many aspects of our daily lives such as eHealth, Smart cities, Domestics, etc. Meanwhile, Network Function Virtualization (NFV) and Software Defined Networking (SDN) technologies are drawing an increasing attention nowadays by offering more flexibility and programmability compared to traditional network solution. We believe that building IoT services on top of NFV/SDN enabling technologies will be one of the key research area in the near future.In this paper, we investigate how NFV concept can be extended to IoT to allow decoupling IoT functionalities from specific dedicated devices. As a result, an IoT device becomes a whitebox that can be augmented with different functionalities instantiated and linked with other cloud-based functions to build end-to-end services. Furthermore, we propose an energy efficient solution for the placement of IoT Service Function Chain (IoTSFC) using an exact Mixed Integer Program (MIP) solution and a Genetic Algorithm (GA) heuristic to deal with scalability issue.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132705521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514981
D. Abonyi, Dorathy Rigelsford
This paper describes an observer system that can be easily incorporated in a mobile cellular network base transceiver station (BTS) for the optimization of small-cell deployment in 2-tier HetNets. The system can be used to periodically monitor the cell coverage area and identify regions of high concentrations of mobile users for possible small cell deployment. By deploying micro-, pico-, or femto-cells in areas of higher user concentration, high data rates and good quality of service in the network can be maintained. The observer system divides the cell into a series of azimuthal and range sectors, and determines which sector the users are located in. The observer system provides the network manager with relative angle of arrival (AoA), and distance estimation to determine the relative location of user clusters within the cell. Simulation results indicate system robustness to a range of propagating environments and at different noise levels. Result show that mobile user location estimation can be determined for a signal to noise ratio of as little as -20dB.
{"title":"A System for Optimizing Small-Cell Deployment in 2-Tier HetNets","authors":"D. Abonyi, Dorathy Rigelsford","doi":"10.1109/CAMAD.2018.8514981","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514981","url":null,"abstract":"This paper describes an observer system that can be easily incorporated in a mobile cellular network base transceiver station (BTS) for the optimization of small-cell deployment in 2-tier HetNets. The system can be used to periodically monitor the cell coverage area and identify regions of high concentrations of mobile users for possible small cell deployment. By deploying micro-, pico-, or femto-cells in areas of higher user concentration, high data rates and good quality of service in the network can be maintained. The observer system divides the cell into a series of azimuthal and range sectors, and determines which sector the users are located in. The observer system provides the network manager with relative angle of arrival (AoA), and distance estimation to determine the relative location of user clusters within the cell. Simulation results indicate system robustness to a range of propagating environments and at different noise levels. Result show that mobile user location estimation can be determined for a signal to noise ratio of as little as -20dB.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113944235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/camad.2018.8514962
{"title":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) [Table of contents]","authors":"","doi":"10.1109/camad.2018.8514962","DOIUrl":"https://doi.org/10.1109/camad.2018.8514962","url":null,"abstract":"","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122447069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8515005
Keven T. Kearney, D. Presenza, F. Sacca, Philip Wright
To help meet the health and caregiving needs of an increasingly ageing population, Engineering is developing SARA, a ’’Socially Assistive Robotic Solution for Ambient assisted living’’, as an extension of its commercial AREAS Enterprise Resource Planning suite for the Health sector. SARA is a complex distributed home automation and robotics system providing health monitoring and (socially interactive) assistance in daily living tasks to the elderly (and their caregivers) at home – with the aim to prolong their autonomy and delay their institutionalization. While advances in artificial intelligence and internet-of-things technologies are converging to make SARA (and similar automated solutions) ever more technically feasible and economically viable, there nevertheless remain significant technological challenges to overcome. This paper introduces SARA, describes some of the key challenges faced in its development, and explains how smart end-to-end IoT interoperability, connectivity and security can help tackle these challenges.
{"title":"Key challenges for developing a Socially Assistive Robotic (SAR) solution for the health sector","authors":"Keven T. Kearney, D. Presenza, F. Sacca, Philip Wright","doi":"10.1109/CAMAD.2018.8515005","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8515005","url":null,"abstract":"To help meet the health and caregiving needs of an increasingly ageing population, Engineering is developing SARA, a ’’Socially Assistive Robotic Solution for Ambient assisted living’’, as an extension of its commercial AREAS Enterprise Resource Planning suite for the Health sector. SARA is a complex distributed home automation and robotics system providing health monitoring and (socially interactive) assistance in daily living tasks to the elderly (and their caregivers) at home – with the aim to prolong their autonomy and delay their institutionalization. While advances in artificial intelligence and internet-of-things technologies are converging to make SARA (and similar automated solutions) ever more technically feasible and economically viable, there nevertheless remain significant technological challenges to overcome. This paper introduces SARA, describes some of the key challenges faced in its development, and explains how smart end-to-end IoT interoperability, connectivity and security can help tackle these challenges.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127275855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514967
Diogo Acatauassu, Marx M. M. Freitas, Joao W. Costa, E. Medeiros, Igor Almeida, A. Cavalcante
In this paper, we present an investigation about the potential of coaxial networks for 5G fronthaul. The study is motivated since some countries have a big coaxial infrastructure that could potentially be used for 5G applications. In this context, we propose here a fronthaul scheme with analog radio over coaxial cables and evaluate the maximum number of antennas that can be employed in such a system assuming a predefined signal-to-noise ratio condition. The results indicate that this solution is able to meet the high capacity requirements of 5G, with the additional benefits of low latency and low cost.
{"title":"Coaxial Networks for 5G Fronthaul","authors":"Diogo Acatauassu, Marx M. M. Freitas, Joao W. Costa, E. Medeiros, Igor Almeida, A. Cavalcante","doi":"10.1109/CAMAD.2018.8514967","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514967","url":null,"abstract":"In this paper, we present an investigation about the potential of coaxial networks for 5G fronthaul. The study is motivated since some countries have a big coaxial infrastructure that could potentially be used for 5G applications. In this context, we propose here a fronthaul scheme with analog radio over coaxial cables and evaluate the maximum number of antennas that can be employed in such a system assuming a predefined signal-to-noise ratio condition. The results indicate that this solution is able to meet the high capacity requirements of 5G, with the additional benefits of low latency and low cost.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130261840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514977
Stavros G. Domouchtsidis, C. Tsinos, S. Chatzinotas, B. Ottersten
Large-Scale Antenna Array Systems may be used to serve multiple users in the same time-frequency resource block which results to harmful multi-user interference (MUI). In the literature precoding techniques have been proposed as a way to mitigate the induced MUI, by designing the transmitted signals using the knowledge of the Channel State Information (CSI), in block-level precoding (BLP) or both the CSI and the information-bearing symbols, in symbol-level precoding (SLP). However, the proposed SLP techniques require fully digital baseband processing which is infeasible in large-scale antenna array systems because of the high cost and power consumption of radio frequency (RF) components. In order to reduce the number of y-RF chains, we address an Antenna Selection Symbol-Level Precoding (AS-SLP) scheme, which minimizes the MUI by activating only a subset of the available antennas. For this scheme we develop an efficient algorithm, based on Coordinate Descent. Simulations provide an insight on the efficiency of the proposed approach and its improvement with respect to the fully digitally approaches.
{"title":"Antenna Selection Symbol-Level Precoding for Low Complexity Large-Scale Antenna Array Systems","authors":"Stavros G. Domouchtsidis, C. Tsinos, S. Chatzinotas, B. Ottersten","doi":"10.1109/CAMAD.2018.8514977","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514977","url":null,"abstract":"Large-Scale Antenna Array Systems may be used to serve multiple users in the same time-frequency resource block which results to harmful multi-user interference (MUI). In the literature precoding techniques have been proposed as a way to mitigate the induced MUI, by designing the transmitted signals using the knowledge of the Channel State Information (CSI), in block-level precoding (BLP) or both the CSI and the information-bearing symbols, in symbol-level precoding (SLP). However, the proposed SLP techniques require fully digital baseband processing which is infeasible in large-scale antenna array systems because of the high cost and power consumption of radio frequency (RF) components. In order to reduce the number of y-RF chains, we address an Antenna Selection Symbol-Level Precoding (AS-SLP) scheme, which minimizes the MUI by activating only a subset of the available antennas. For this scheme we develop an efficient algorithm, based on Coordinate Descent. Simulations provide an insight on the efficiency of the proposed approach and its improvement with respect to the fully digitally approaches.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126958726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8515001
Stavros Nousias, C. Tselios, Dimitris Bitzas, A. Lalos, K. Moustakas, I. Chatzigiannakis
Contemporary sensing devices provide reliable mechanisms for continuous process monitoring, accommodating use cases related to mHealth and smart mobility, by generating real-time data streams of numerous physiological and vital parameters. Such data streams can be later utilized by machine learning algorithms and decision support systems to predict critical clinical states and motivate users to adopt behaviours that improve the quality of their life and the society as a whole. However, in many cases, even when deployed over highly sophisticated, cutting-edge network infrastructure and deployment paradigms, data may exhibit missing values and non-uniformities due to various reasons, including device malfunction, deliberate data reduction for efficient processing, or data loss due to sensing and communication failures. This work proposes a novel approach to deal with missing entries in heart rate measurements. Benefiting from the low-rank property of the generated data matrices and the proximity of neighbouring measurements, we provide a novel method that combines classical matrix completion approaches with weighted Laplacian interpolation offering high reconstruction accuracy at fast execution times. Extensive evaluation studies carried out with real measurements show that the proposed methods could be effectively deployed by modern wristband-cloud computing systems increasing the robustness, the reliability and the energy efficiency of these systems.
{"title":"Uncertainty Management for Wearable IoT Wristband Sensors Using Laplacian-Based Matrix Completion","authors":"Stavros Nousias, C. Tselios, Dimitris Bitzas, A. Lalos, K. Moustakas, I. Chatzigiannakis","doi":"10.1109/CAMAD.2018.8515001","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8515001","url":null,"abstract":"Contemporary sensing devices provide reliable mechanisms for continuous process monitoring, accommodating use cases related to mHealth and smart mobility, by generating real-time data streams of numerous physiological and vital parameters. Such data streams can be later utilized by machine learning algorithms and decision support systems to predict critical clinical states and motivate users to adopt behaviours that improve the quality of their life and the society as a whole. However, in many cases, even when deployed over highly sophisticated, cutting-edge network infrastructure and deployment paradigms, data may exhibit missing values and non-uniformities due to various reasons, including device malfunction, deliberate data reduction for efficient processing, or data loss due to sensing and communication failures. This work proposes a novel approach to deal with missing entries in heart rate measurements. Benefiting from the low-rank property of the generated data matrices and the proximity of neighbouring measurements, we provide a novel method that combines classical matrix completion approaches with weighted Laplacian interpolation offering high reconstruction accuracy at fast execution times. Extensive evaluation studies carried out with real measurements show that the proposed methods could be effectively deployed by modern wristband-cloud computing systems increasing the robustness, the reliability and the energy efficiency of these systems.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127046711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：