Pub Date : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144962
R. Beraldi, C. Canali, R. Lancellotti, Gabriele Proietti Mattia
The growth of large scale sensing applications (as in the case of smart cities applications) is a main driver of the fog computing paradigm. However, as the load for such fog infrastructures increases, there is a growing need for coordination mechanisms that can provide load balancing. The problem is exacerbated by local overload that may occur due to an uneven distribution of processing tasks (jobs) over the infrastructure, which is typical real application such as smart cities, where the sensor deployment is irregular and the workload intensity can fluctuate due to rush hours and users behavior. In this paper we introduce two load sharing mechanisms that aim to offload jobs towards the neighboring nodes. We evaluate the performance of such algorithms in a realistic environment that is based on a real application for monitoring in a smart city. Our experiments demonstrate that even a simple load balancing scheme is effective in addressing local hot spots that would arise in a non-collaborative fog infrastructure.
{"title":"A Random Walk based Load Balancing Algorithm for Fog Computing","authors":"R. Beraldi, C. Canali, R. Lancellotti, Gabriele Proietti Mattia","doi":"10.1109/FMEC49853.2020.9144962","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144962","url":null,"abstract":"The growth of large scale sensing applications (as in the case of smart cities applications) is a main driver of the fog computing paradigm. However, as the load for such fog infrastructures increases, there is a growing need for coordination mechanisms that can provide load balancing. The problem is exacerbated by local overload that may occur due to an uneven distribution of processing tasks (jobs) over the infrastructure, which is typical real application such as smart cities, where the sensor deployment is irregular and the workload intensity can fluctuate due to rush hours and users behavior. In this paper we introduce two load sharing mechanisms that aim to offload jobs towards the neighboring nodes. We evaluate the performance of such algorithms in a realistic environment that is based on a real application for monitoring in a smart city. Our experiments demonstrate that even a simple load balancing scheme is effective in addressing local hot spots that would arise in a non-collaborative fog infrastructure.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117135824","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144765
Amal Almasri, A. Khalifeh, Khalid A. Darabkh
Wireless Sensor Networks (WSNs) are gaining significant research momentum due to their potential in providing a scalable, reliable, affordable, secure, and energy efficient infrastructure to several Internet of Things applications and scenarios. To achieve that, several clustering protocols have been proposed and widely used in the research community, among which are: The Low-Energy Adaptive Clustering Hierarchy protocol (LEACH) and Threshold sensitive Energy Efficient sensor Network (TEEN) for clustered homogeneous wireless sensor networks. The Stable Election Protocol (SEP), and Threshold Sensitive stable Election Protocol (TSEP) for clustered heterogeneous wireless sensor networks. The purpose of this paper is to provide a comparative analysis of these protocols, starting on a brief discussion on their operation, mentioning their strength and weakness aspects, and comparing between them thus highlighting their pros and cons, which will be a rich source for researchers who are keen toward developing new algorithms and protocols that leverage the pros of these protocols and minimize their cons.
{"title":"A Comparative Analysis for WSNs Clustering Algorithms","authors":"Amal Almasri, A. Khalifeh, Khalid A. Darabkh","doi":"10.1109/FMEC49853.2020.9144765","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144765","url":null,"abstract":"Wireless Sensor Networks (WSNs) are gaining significant research momentum due to their potential in providing a scalable, reliable, affordable, secure, and energy efficient infrastructure to several Internet of Things applications and scenarios. To achieve that, several clustering protocols have been proposed and widely used in the research community, among which are: The Low-Energy Adaptive Clustering Hierarchy protocol (LEACH) and Threshold sensitive Energy Efficient sensor Network (TEEN) for clustered homogeneous wireless sensor networks. The Stable Election Protocol (SEP), and Threshold Sensitive stable Election Protocol (TSEP) for clustered heterogeneous wireless sensor networks. The purpose of this paper is to provide a comparative analysis of these protocols, starting on a brief discussion on their operation, mentioning their strength and weakness aspects, and comparing between them thus highlighting their pros and cons, which will be a rich source for researchers who are keen toward developing new algorithms and protocols that leverage the pros of these protocols and minimize their cons.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"366 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124596810","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144973
Milena Radenkovic, Vu San Ha Huynh
The fast-growing popularity of electric vehicles (EVs) poses complex challenges for the existing power grid infrastructure to meet the high demands at peak charging hours. Discovering and transferring energy amongst EVs in mobile vehicular edges and fogs is expected to be an effective solution for bringing energy closer to where the demand is and improving the scalability and flexibility compared to traditional charging solutions. In this paper, we propose a fully-distributed energy-aware opportunistic charging approach which enables distributed multi-layer adaptive edge cloud platform for sustainable mobile autonomous vehicular edges which host dynamic on-demand virtual edge containers of on-demand services. We introduce a novel Reinforcement Learning (Q-learning) based SmartCharge algorithm formulated as a finite Markov Decision Process. We define multiple edge energy states, transitions and possible actions of edge nodes in dynamic complex network environments which are adaptively resolved by multilayer real-time multidimensional predictive analytics. This allows SmartCharge edge nodes to more accurately capture, predict and adapt to dynamic spatial-temporal energy supply and demand as well as mobility patterns when energy peaks are expected. More specifically, SmartCharge edge nodes are able to autonomously and collaboratively understand when (how soon) and where the geo-temporal peaks are expected to happen, thus enable better local prediction and more accurate global distribution of energy resources. We provide multi-criteria evaluation of SmartCharge against competitive protocols over real-world San Francisco Cab mobility traces and in the presence of real-world users' energy interest traces driven by Foursquare San Francisco dataset. We show that SmartCharge successfully predicts and mitigates congestion in peak charging hours, reduces the waiting time between vehicles sending energy demand requests and being successfully charged as well as significantly reduces the total number of vehicles in need of energy.
{"title":"Energy-Aware Opportunistic Charging and Energy Distribution for Sustainable Vehicular Edge and Fog Networks","authors":"Milena Radenkovic, Vu San Ha Huynh","doi":"10.1109/FMEC49853.2020.9144973","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144973","url":null,"abstract":"The fast-growing popularity of electric vehicles (EVs) poses complex challenges for the existing power grid infrastructure to meet the high demands at peak charging hours. Discovering and transferring energy amongst EVs in mobile vehicular edges and fogs is expected to be an effective solution for bringing energy closer to where the demand is and improving the scalability and flexibility compared to traditional charging solutions. In this paper, we propose a fully-distributed energy-aware opportunistic charging approach which enables distributed multi-layer adaptive edge cloud platform for sustainable mobile autonomous vehicular edges which host dynamic on-demand virtual edge containers of on-demand services. We introduce a novel Reinforcement Learning (Q-learning) based SmartCharge algorithm formulated as a finite Markov Decision Process. We define multiple edge energy states, transitions and possible actions of edge nodes in dynamic complex network environments which are adaptively resolved by multilayer real-time multidimensional predictive analytics. This allows SmartCharge edge nodes to more accurately capture, predict and adapt to dynamic spatial-temporal energy supply and demand as well as mobility patterns when energy peaks are expected. More specifically, SmartCharge edge nodes are able to autonomously and collaboratively understand when (how soon) and where the geo-temporal peaks are expected to happen, thus enable better local prediction and more accurate global distribution of energy resources. We provide multi-criteria evaluation of SmartCharge against competitive protocols over real-world San Francisco Cab mobility traces and in the presence of real-world users' energy interest traces driven by Foursquare San Francisco dataset. We show that SmartCharge successfully predicts and mitigates congestion in peak charging hours, reduces the waiting time between vehicles sending energy demand requests and being successfully charged as well as significantly reduces the total number of vehicles in need of energy.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124001880","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144756
Étienne Helluy-Lafont, A. Boé, G. Grimaud, M. Hauspie
Physical fingerprinting is a trending domain in wireless security. Those methods aim at identifying transmitters based on the subtle variations existing in their handling of a communication protocol. They can provide an additional authentication layer, hard to emulate, to improve the security of systems. Software Defined Radios (SDR) are a tool of choice for the fingerprinting, as they virtually enable the analysis of any wireless communication scheme. However, they require expensive computations, and are still complex to handle by newcomers. In this paper, we use low cost SDR to propose a physical-layer fingerprinting approach, that allows recognition of the model of a device performing a Bluetooth scan, with more than 99.8% accuracy in a set of ten devices.
{"title":"Bluetooth devices fingerprinting using low cost SDR","authors":"Étienne Helluy-Lafont, A. Boé, G. Grimaud, M. Hauspie","doi":"10.1109/FMEC49853.2020.9144756","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144756","url":null,"abstract":"Physical fingerprinting is a trending domain in wireless security. Those methods aim at identifying transmitters based on the subtle variations existing in their handling of a communication protocol. They can provide an additional authentication layer, hard to emulate, to improve the security of systems. Software Defined Radios (SDR) are a tool of choice for the fingerprinting, as they virtually enable the analysis of any wireless communication scheme. However, they require expensive computations, and are still complex to handle by newcomers. In this paper, we use low cost SDR to propose a physical-layer fingerprinting approach, that allows recognition of the model of a device performing a Bluetooth scan, with more than 99.8% accuracy in a set of ten devices.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133700895","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144819
Maghsoud Morshedi
Wi-Fi will be the preferred access network in smart infrastructure, which is a considerably cheaper alternative of mobile broadband. Emerging services such as Internet of things (IoT), virtual reality (VR) and ehealth, which require carrier-grade quality have shifted data traffic. Therefore, smart infrastructures need an extensive analysis of application requirements and user expectations. This paper presents the concept of cumulative network parameter monitoring and analysis in order to improve overall Wi-Fi quality in smart infrastructure. The proposed concept incorporates security and privacy in addition to generic performance parameters. The cumulative network parameters monitoring and analysis investigates various parameters in order to assess overall quality rather than individual performance parameter monitoring for a particular service. Hence, cumulative network parameter monitoring and analysis concept can establish a baseline to estimate user acceptability objectively rather than costly subjective assessments.
{"title":"Preparing Wi-Fi Networks for Novel Services in Smart Infrastructure","authors":"Maghsoud Morshedi","doi":"10.1109/FMEC49853.2020.9144819","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144819","url":null,"abstract":"Wi-Fi will be the preferred access network in smart infrastructure, which is a considerably cheaper alternative of mobile broadband. Emerging services such as Internet of things (IoT), virtual reality (VR) and ehealth, which require carrier-grade quality have shifted data traffic. Therefore, smart infrastructures need an extensive analysis of application requirements and user expectations. This paper presents the concept of cumulative network parameter monitoring and analysis in order to improve overall Wi-Fi quality in smart infrastructure. The proposed concept incorporates security and privacy in addition to generic performance parameters. The cumulative network parameters monitoring and analysis investigates various parameters in order to assess overall quality rather than individual performance parameter monitoring for a particular service. Hence, cumulative network parameter monitoring and analysis concept can establish a baseline to estimate user acceptability objectively rather than costly subjective assessments.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128893494","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144845
Oussama Mounnan, A. E. Mouatasim, Otman Manad, Tarik Hidar, A. A. E. Kalam, N. Idboufker
Fog computing is a new distributed computing paradigm that extends the cloud to the network edge. Fog computing aims at improving quality of service, data access, networking, computation and storage. However, the security and privacy issues persist, even if many cloud solutions were proposed. Indeed, Fog computing introduces new challenges in terms of security and privacy, due to its specific features such as mobility, geo-distribution and heterogeneity etc. Blockchain is an emergent concept bringing efficiency in many fields. In this paper, we propose a new access control scheme based on blockchain technology for the fog computing with fault tolerance in the context of the Internet of Things. Blockchain is used to provide secure management authentication and access process to IoT devices. Each network entity authenticates in the blockchain via the wallet, which allows a secure communication in decentralized environment, hence it achieves the security objectives. In addition, we propose to establish a secure connection between the users and the IoT devices, if their attributes satisfy the policy stored in the blockchain by smart contract. We also address the blockchain transparency problem by the encryption of the users attributes both in the policy and in the request. An authorization token is generated if the encrypted attributes are identical. Moreover, our proposition offers higher scalability, availability and fault tolerance in Fog nodes due to the implementation of load balancing through the Min-Min algorithm.
{"title":"Privacy-Aware and Authentication based on Blockchain with Fault Tolerance for IoT enabled Fog Computing","authors":"Oussama Mounnan, A. E. Mouatasim, Otman Manad, Tarik Hidar, A. A. E. Kalam, N. Idboufker","doi":"10.1109/FMEC49853.2020.9144845","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144845","url":null,"abstract":"Fog computing is a new distributed computing paradigm that extends the cloud to the network edge. Fog computing aims at improving quality of service, data access, networking, computation and storage. However, the security and privacy issues persist, even if many cloud solutions were proposed. Indeed, Fog computing introduces new challenges in terms of security and privacy, due to its specific features such as mobility, geo-distribution and heterogeneity etc. Blockchain is an emergent concept bringing efficiency in many fields. In this paper, we propose a new access control scheme based on blockchain technology for the fog computing with fault tolerance in the context of the Internet of Things. Blockchain is used to provide secure management authentication and access process to IoT devices. Each network entity authenticates in the blockchain via the wallet, which allows a secure communication in decentralized environment, hence it achieves the security objectives. In addition, we propose to establish a secure connection between the users and the IoT devices, if their attributes satisfy the policy stored in the blockchain by smart contract. We also address the blockchain transparency problem by the encryption of the users attributes both in the policy and in the request. An authorization token is generated if the encrypted attributes are identical. Moreover, our proposition offers higher scalability, availability and fault tolerance in Fog nodes due to the implementation of load balancing through the Min-Min algorithm.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114608772","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144852
H. Barzegar, Nabil El Ioini, V. T. Le, C. Pahl
One of the main centrepieces in the next generation of cellular wireless communication networks is to always provide seamless network connectivity on the top of high-speed data rate and network availability. The emerging fifth-generation (5G) is expected to drastically improve the market demand in terms of higher data rates, excellent user coverage, superb end-to-end connection with very low-latency and ultra-reliability. Even though existing mechanisms such as handover and roaming procedures have already introduced possible solutions in previous generations, mobile users still suffer from delays during network switching in cross border situations. This paper summarizes the research being done on service continuity cross border for different generations of cellular wireless communication networks and demonstrates the benefits that 5G brings to service continuity use cases in the context of a European project. Opening challenges remain highlighted and guidelines are provided to modify the current schemes to address these limitations.
{"title":"Wireless Network Evolution Towards Service Continuity in 5G enabled Mobile Edge Computing","authors":"H. Barzegar, Nabil El Ioini, V. T. Le, C. Pahl","doi":"10.1109/FMEC49853.2020.9144852","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144852","url":null,"abstract":"One of the main centrepieces in the next generation of cellular wireless communication networks is to always provide seamless network connectivity on the top of high-speed data rate and network availability. The emerging fifth-generation (5G) is expected to drastically improve the market demand in terms of higher data rates, excellent user coverage, superb end-to-end connection with very low-latency and ultra-reliability. Even though existing mechanisms such as handover and roaming procedures have already introduced possible solutions in previous generations, mobile users still suffer from delays during network switching in cross border situations. This paper summarizes the research being done on service continuity cross border for different generations of cellular wireless communication networks and demonstrates the benefits that 5G brings to service continuity use cases in the context of a European project. Opening challenges remain highlighted and guidelines are provided to modify the current schemes to address these limitations.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116028558","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144916
Shadi Alzu'bi, Y. Jararweh
Many significant challenges related to transportation systems have been raised recently, these include the high accidents rate, road congestion, emission of gases, and environment pollution. Furthermore, transportation crashes caused injuries in accident. Researchers investigated virtual methodologies to automate the transportation process that known as Intelligent Transport System (ITS). In the last 20 years, ITS have been employed efficiently to enhance the performance of transportation systems, improve security of travel, and provide several choices for travelers. The idea of virtual technologies integration is a novel in transportation field. Collecting data from multi-sources played a significant improvement in ITS, this can help stakeholders for processing different forms of data. This huge amount of data can significantly help in the revolution of ITS. This paper focused on several Autonomous vehicles (AVs) related technologies that employed efficiently in ITS. This review integrates and synthesizes monitoring AVs using data fusion from different data sources. Furthermore, recent technologies and software toolboxes are presented in this paper to facilitate the researchers job in improving the data and sensor fusion in AVs.
{"title":"Data Fusion in Autonomous Vehicles Research, Literature Tracing from Imaginary Idea to Smart Surrounding Community","authors":"Shadi Alzu'bi, Y. Jararweh","doi":"10.1109/FMEC49853.2020.9144916","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144916","url":null,"abstract":"Many significant challenges related to transportation systems have been raised recently, these include the high accidents rate, road congestion, emission of gases, and environment pollution. Furthermore, transportation crashes caused injuries in accident. Researchers investigated virtual methodologies to automate the transportation process that known as Intelligent Transport System (ITS). In the last 20 years, ITS have been employed efficiently to enhance the performance of transportation systems, improve security of travel, and provide several choices for travelers. The idea of virtual technologies integration is a novel in transportation field. Collecting data from multi-sources played a significant improvement in ITS, this can help stakeholders for processing different forms of data. This huge amount of data can significantly help in the revolution of ITS. This paper focused on several Autonomous vehicles (AVs) related technologies that employed efficiently in ITS. This review integrates and synthesizes monitoring AVs using data fusion from different data sources. Furthermore, recent technologies and software toolboxes are presented in this paper to facilitate the researchers job in improving the data and sensor fusion in AVs.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130047114","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144704
Krzysztof Mateusz Malarski, Farnaz Moradi, Kalpit Dilip Ballal, L. Dittmann, S. Ruepp
A growing number of connected IoT devices makes it more and more difficult for the network to provide the desired reliability in any deployment scenario. The advent of NB-IoT technology opens new possibilities for low-power long-range IoT applications. However, the design of the standard introduces high battery drainage in the situations when the radio conditions between the UE and the eNB are poor. Device-to-Device (D2D) communication is considered a promising technology to address this problem, since D2D makes it possible for the end-devices to exchange the data without the assistance of the base stations. In this work, we study how NB-IoT applications in general can benefit from enabling D2D communication. We focus on assuring reliability and QoS parametres for critical Internet of Things (IoT) use cases. We provide an overview of the state-of-the-art approaches, identify the realisation challenges and highlight the future research directions.
{"title":"Internet of Reliable Things: Toward D2D-enabled NB-IoT","authors":"Krzysztof Mateusz Malarski, Farnaz Moradi, Kalpit Dilip Ballal, L. Dittmann, S. Ruepp","doi":"10.1109/FMEC49853.2020.9144704","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144704","url":null,"abstract":"A growing number of connected IoT devices makes it more and more difficult for the network to provide the desired reliability in any deployment scenario. The advent of NB-IoT technology opens new possibilities for low-power long-range IoT applications. However, the design of the standard introduces high battery drainage in the situations when the radio conditions between the UE and the eNB are poor. Device-to-Device (D2D) communication is considered a promising technology to address this problem, since D2D makes it possible for the end-devices to exchange the data without the assistance of the base stations. In this work, we study how NB-IoT applications in general can benefit from enabling D2D communication. We focus on assuring reliability and QoS parametres for critical Internet of Things (IoT) use cases. We provide an overview of the state-of-the-art approaches, identify the realisation challenges and highlight the future research directions.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"4 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803018","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 : 2020-04-01DOI: 10.1109/FMEC49853.2020.9144901
Andrea Giordano, C. Mastroianni, L. Scarcello, G. Spezzano
In recent years, the distribution of local and renewable generation plants has introduced significant challenges in the management of electrical energy. In order to increase the usage of renewable energy, prosumers, i.e., users that can act both as producers and consumers, can benefit from joining together and forming energy communities. This new scenario calls for great research investigations aimed to improve the management of energy exchanges inside energy communities In particular, efficient solutions need to consider the interaction among several energy entities, among which distributed renewable plants, residential loads and energy storage systems. In this paper, an optimazation model for the energy management in energy communities is presented. The novelty consists in modeling the entire energy community as a whole, rather than each prosumer separately, with the goal of optimizing the energy sharing and balance at the community level. Experimental results, performed in an university campus, show the advantages of the approach and its capability of reducing the energy costs and increasing the community's energy autonomy.
{"title":"An Optimization Model for Efficient Energy Exchange in Energy Communities","authors":"Andrea Giordano, C. Mastroianni, L. Scarcello, G. Spezzano","doi":"10.1109/FMEC49853.2020.9144901","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144901","url":null,"abstract":"In recent years, the distribution of local and renewable generation plants has introduced significant challenges in the management of electrical energy. In order to increase the usage of renewable energy, prosumers, i.e., users that can act both as producers and consumers, can benefit from joining together and forming energy communities. This new scenario calls for great research investigations aimed to improve the management of energy exchanges inside energy communities In particular, efficient solutions need to consider the interaction among several energy entities, among which distributed renewable plants, residential loads and energy storage systems. In this paper, an optimazation model for the energy management in energy communities is presented. The novelty consists in modeling the entire energy community as a whole, rather than each prosumer separately, with the goal of optimizing the energy sharing and balance at the community level. Experimental results, performed in an university campus, show the advantages of the approach and its capability of reducing the energy costs and increasing the community's energy autonomy.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126389569","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}
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