Krasimir Tonchev, P. Lindgren, A. Manolova, N. Neshov, V. Poulkov
{"title":"Digitizing human behavior in business model innovation","authors":"Krasimir Tonchev, P. Lindgren, A. Manolova, N. Neshov, V. Poulkov","doi":"10.1109/GWS.2017.8300484","DOIUrl":"https://doi.org/10.1109/GWS.2017.8300484","url":null,"abstract":"The ability to develop innovative Business Models (BM) has become the cornerstone for the competitiveness of many successful business entities. Business Model Innovation (BMI) appears even more important as digitalization affect all areas of life and lead to new ways of working, communicating and cooperating in this digital world of Industry 4.0. Thanks to new technologies today businesses are connected in physical, digital and virtual networks, therefor the cooperation between businesses and academia and the use of competences across different domains will strengthen the BMI. One main challenge of digitization of BMI is modelling human behavior and cognitive processes into logical expressions that can be digitized and automated. The objective of this paper is to develop a conceptual model of an agile business model innovation learning environment which can be easily adapted by businesses utilizing sensors and machine learning techniques to observe, analyse and predict human behavior and facilitate the BMI development. The proposed technology backbone is a cloud-based sensing business model and sensing business model innovation room embedded with advanced mobile and wireless sensors, both environmental and wearable by the participants.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480500","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}
Bilal Muhammad, R. Prasad, Marco Nisi, A. Mennella, Graziano Gagliarde, E. Cianca, D. Marenchino, A. Angrisano, M. Bernardi, P. Addabbo, S. Ullo
{"title":"Automating the maintenance of photovoltaic power plants","authors":"Bilal Muhammad, R. Prasad, Marco Nisi, A. Mennella, Graziano Gagliarde, E. Cianca, D. Marenchino, A. Angrisano, M. Bernardi, P. Addabbo, S. Ullo","doi":"10.1109/GWS.2017.8300492","DOIUrl":"https://doi.org/10.1109/GWS.2017.8300492","url":null,"abstract":"Photovoltaic (PV) plants experience aging over a time span that can lead to faults, consequently reducing the overall power production of PV plants. Thermo-diagnosis is one of the most effective methods for inspecting the photovoltaic plants for faults, such as hotspots. The inspection of individual PV panels for hotspots can be time consuming and expensive. Either the panels are located at a height on the rooftop of buildings or over a larger area, thus making the inspection process significantly complicated. This paper presents a solution to automate the process of PV plant maintenance by employing a Remotely Piloted Aircraft System (RPAS) equipped with a custom-designed payload that includes a thermal camera and a low-cost GNSS RTK receiver. The RPAS performs a flying mission over a PV plant to collect thermal images accurately geo-referenced by GNSS RTK receiver that allows to identify and locate the defective PV module without immediate human intervention. The paper presents end-to-end system design of the proposed solution and preliminary results of the proof-of-concept.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"26 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125808386","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}
{"title":"A real-time big-data system for smart spectrum sharing: Enabling affordable broadband in 5g for underserved communities","authors":"L. Montsi, L. Mfupe, F. Mekuria, D. Macleod","doi":"10.1109/GWS.2017.8300478","DOIUrl":"https://doi.org/10.1109/GWS.2017.8300478","url":null,"abstract":"The dream of connecting under-served global communities with affordable broadband internet has been given a new hope with the advent of spectrum sharing wireless broadband networks in the TV-band frequencies. There is however a technical challenge from the software engineering perspective of developing such solutions. This is mainly due to the fact that such solutions require vast numbers of network devices to communicate to a smart spectrum sharing system with real-time response expectation. This paper will discuss a big-data cloud framework for a smart spectrum sharing system. Firstly, smart spectrum sharing based wireless broadband networks (S3-WBN) as means to enable broadband connectivity through dynamic spectrum access (DSA) will be introduced. The marriage between spectrum sharing and fifth Generation (5G) networks is then presented. Cloud based spectrum sharing for 5G networks will be the next section. This will encompass challenges of designing smart spectrum sharing wireless broadband networks and systems that enable them, alternative cloud-based solutions when developing such systems and how the cloud enables functionality of such systems, and results that were uncovered as findings from the test bed of the case study of an implementation of smart spectrum sharing Database system (S3DB).","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122755095","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}
{"title":"End-to-end availability analysis: Worst-case study of e-learning network at mae fah luang university","authors":"Chayapol Kamyod","doi":"10.1109/GWS.2017.8300482","DOIUrl":"https://doi.org/10.1109/GWS.2017.8300482","url":null,"abstract":"End-to-end availability of an e-learning network connection topology is evaluated and compared between centralized server and decentralized server network architecture. The combination of Reliability Block Diagram (RBD) and the simplex three-state Continuous Time Markov Chain (CTMQ model was applied to evaluate overall system availability on the worse case condition. The simulation results showed interesting transient end-to-end availability characteristics where the decentralized architecture has higher availability than the centralized architecture.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"10 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131750981","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}
Ramtanu Mukherjee, Sanchita Ghosh, B. Gupta, T. Chakravarty
{"title":"Reflective PPG-based noninvasive continuous pulse rate measurement and remote monitoring system","authors":"Ramtanu Mukherjee, Sanchita Ghosh, B. Gupta, T. Chakravarty","doi":"10.1109/GWS.2017.8300493","DOIUrl":"https://doi.org/10.1109/GWS.2017.8300493","url":null,"abstract":"Noninvasive continuous pulse rate (PR) monitoring has recently become a budding topic in the field of remote healthcare monitoring. Photoplethysmography (PPG) based PR measurement is a continuous, unobtrusive, reliable, patient-friendly and low-cost solution. In this paper, a novel reflective type PPG sensing technique has been described in order to eliminate the limitations of a typical reflective type PPG sensor. Here, the angular incidence of the light is introduced to minimize the impact of motion artifacts and maximize the signal to noise ratio of the PPG signal. A complete PR monitoring system has been developed which can easily be integrated with the remote healthcare system. Also, this system can be very useful to monitor the PR of infants, elderly aged people, patients having a wound or burn injury or in the intensive care unit environment. The overall accuracy is achieved 99% and the percentage of error is around 1% for red light at 65° angle of incidence and the Signal-to-Noise Ratio (SNR) is increased up to 26% for 65° angle of incidence with respect to the perpendicular incidence. Hence, experimental results demonstrate that by using the developed reflective PPG-based sensing system, the measurement accuracy of the PR and the SNR of the PPG signal is significantly increased whereas the impact of motion artifact is considerably decreased.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385479","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}
{"title":"Energy efficient reliable data transmission in resource constrained Ad-Hoc communication networks","authors":"M. Chaudhari, P. Koleva, V. Poulkov, V. Deshpande","doi":"10.1109/GWS.2017.8300500","DOIUrl":"https://doi.org/10.1109/GWS.2017.8300500","url":null,"abstract":"The wireless sensor network (WSN) is one of the resource constrained ad-hoc communication networks, having limited resources such as storage space, energy and computational capability. In addition to this it suffers from quick changes in the structure of the wireless link due to variations of the signal strength, interference, and multi-path propagation characteristics. Reliable energy efficient data transmission in WSNs to prolong the network lifetime is an important and challenging issue. In general, there are several approaches like multi-path routing and source coding, automatic repeat request, used for providing reliable data transfer in WSNs. But the overhead and performance of such end-to-end single-path approaches are often dominated by congestion as well as some poor-quality links or nodes on the path. That is, these traditional approaches are not able to quickly and properly react in this multi-hop wireless environment. To cope with the above issues, in this paper we propose an energy efficient reliable data transfer scheme named as \"Adaptive Sectoring Scheme for Reliability (ASSR)\" for WSNs. In this approach, the given sensor field is divided into sectors activated one at a time by the occurrence of an event. To minimize the congestion as well as to increase the throughput with maximum packet delivery ratio, the sectoring process is adjusted dynamically to ensure reliable data transmission. Simulation experiments show that the proposed scheme leads to an improvement of the reliability and energy consumption.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124395970","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}
{"title":"A packet scheduling scheme in S-LTE networks using logarithmic function as a control parameter","authors":"Gbolahan Aiyetoro, F. Takawira","doi":"10.1109/GWS.2017.8300297","DOIUrl":"https://doi.org/10.1109/GWS.2017.8300297","url":null,"abstract":"This paper proposes a new packet scheduling scheme for real time traffic in satellite Long Term Evolution (S-LTE) network using a logarithmic function as its control parameter. The S-LTE air interface is able to complement its terrestrial counterparts since it's able to provide worldwide coverage and higher data rate especially in the provision of real time services (multimedia services) to mobile users across the globe. In order to achieve high throughput and also meet varying Quality of Service (QoS) demands of real time traffic users, a cross-layer design approach based packet scheduling scheme is very important. Hence, the aim of this paper is to propose a new packet scheduling scheme tagged Logarithmic Based Channel and Queue-Aware (LBCQA) Scheduler that will maximize the throughput without any serious compromise to QoS and also investigate the effect of the control parameter — logarithmic function in the performance of the proposed scheme. The newly proposed scheduler is compared with existing ones through simulations and various performance indices have been considered. The video streaming and VoIP traffic have been adopted to model the real time traffic.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114886689","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}
{"title":"Estimation of relative offset and drift between local clocks in wireless sensor networks","authors":"Ayako Arao, H. Higaki","doi":"10.1109/FGCT.2017.8103722","DOIUrl":"https://doi.org/10.1109/FGCT.2017.8103722","url":null,"abstract":"In wireless sensor networks, each wireless sensor node records events occurred in its observation area with their observation time. Each wireless sensor node possesses its own local clock whose drift and offset are generally different from the others. In addition, it is difficult for the wireless sensor nodes to adjust drifts and offsets of their local clocks since transmission delays of messages between neighbor wireless sensor nodes are difficult to estimate due to CSMA/CA and RTS/CTS control for collision avoidance. Thus, it is difficult to achieve an order and an interval among events observed by different wireless sensor nodes. Moreover, even if multiple wireless sensor nodes observe the same events, their recorded observation times might be different and two observation records for the same event by multiple wireless sensor nodes are not always recognized as the records for the same event. Based on an assumption that observation areas of neighbor wireless sensor nodes are overlapped, by using observation records of the commonly observed events by neighbor wireless sensor nodes, a novel method to estimate the relative drift and offset between local clocks of the neighbor wireless sensor nodes. Here, each sensor node only detects the occurrences of events and cannot achieve the locations where the events occur. Hence, commonly observed events between neighbor wireless sensor nodes are required to be detected. Our proposed method applies a heuristic that multiple observation records in neighbor wireless sensor nodes whose intervals are the same are estimated to be commonly observed events.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114848073","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}
{"title":"Practical achievements on throughput improvement in real networks","authors":"Mohammad Rasoul Tanhatalab, Seyed Majid Jafari Joor Jadeh, Amirhossein Orouji Esfahani","doi":"10.1109/gws.2017.8300467","DOIUrl":"https://doi.org/10.1109/gws.2017.8300467","url":null,"abstract":"Throughput is one if the major performance metrics for mobile networks. Higher throughput is crucially important for subscribers and service providers (operators); it helps subscribers to save time and enables them to use applications and services requiring higher throughput. The increase in data usage for subscribers experiencing higher throughput is evidenced by existing operators. This recurring revenue boost and also more efficient utilization of spectrum and infrastructure investments make higher throughput more and more attractive for operators. In this paper, we will show some practical solutions which are deployed for throughput improvement in a live mobile network consisting multi-vendor equipment — Ericsson, Nokia, HUAWEI and ZTE — and also different technologies; 2G, 3G and LTE","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123309726","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}
M. Conci, F. Burkhardt, Ilie-Daniel Gheorghe-Pop, T. Schlichter, S. Covaci, A. Kapovits
{"title":"Performance evaluation of virtual evolved packet core networks with integrated satellite backhaul","authors":"M. Conci, F. Burkhardt, Ilie-Daniel Gheorghe-Pop, T. Schlichter, S. Covaci, A. Kapovits","doi":"10.1109/GWS.2017.8300465","DOIUrl":"https://doi.org/10.1109/GWS.2017.8300465","url":null,"abstract":"With the evolution towards 5G networks, the current system architectures gain more interoperability that allow services to perform at increased efficiency. In the case of telco networks, by integrating a satellite backhaul, a wider range of services can be obtained for the end devices, while at the same time optimizing the backhaul usage. In this paper we present a set of evaluations performed on virtual evolved packet core network with GEO satellite network is used as backhaul. The proposed system is deployed in 2 configurations on which various telco functionalities are tested in order to determine which range or applications are suited for each setup. The testbed includes the Fraunhofer CoSat satellite emulator and the Open5GCore toolkit, and was used for functional tests as well as performance benchmarks.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132235971","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}