2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)最新文献

{"title":"Intelligent Device Disambiguation for Smart Home Control","authors":"Siddharth Chaudhary, Shalabh Singh, Vijaya Kumar Tukka, Vinisha Parwal, Siddhartha Sinha","doi":"10.1109/FiCloud.2019.00050","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00050","url":null,"abstract":"User interaction with smart devices is challenging when there are multiple devices that can perform the required task. Disambiguating between similar devices is a common problem that user faces when controlling devices from an app or from voice enabled smart assistants, because of the time required to interact. Moreover user command might be incomplete in case of smart assistants, leading to further challenges in identifying the user intended device. To predict the user intended device, we propose a machine learning based device disambiguation service using XGBoost algorithm. The predictions are based out of historical usage pattern of smart home users and is personalized for them. The machine learning model is optimized using random search over hyper-parameters in a completely automated fashion, which ensures optimum user experience. The solution addresses the important problem of identifying the device intended by the user and is a suitable platform for further improvements in voice assistant enabled smart home experience.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114757233","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":"Systems that Sustain Themselves: Energy Harvesting Sensor Nodes for Monitoring the Environment","authors":"Kaumudi Singh, K. NitheshNayak, Anup A. Kedilaya, T. V. Prabhakar, J. Kuri","doi":"10.1109/FiCloud.2019.00045","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00045","url":null,"abstract":"Battery-less sensor networks, that harvest energy from the ambient, have attracted much attention in the last few years due to the promise of low maintenance and untethered perpetual operation. However, the major challenge in such networks is that the availability of nodes in the network depends on the energy profile of their harvesting sources. This might affect network reliability. In this work, we study the suitability of Energy Harvesting Sensor (EHS) nodes, powered using light and vibrations, for a simple temperature monitoring application. We evaluate whether such an EHS node-based system can sustain itself and compare its performance with that of a traditional battery-based system. To economize on energy expenditure in the EHS system, we implement an Autoregressive (AR) model based adaptive sampling algorithm on the EHS nodes. After thorough experimental investigations, we conclude that the EHS node-based system fares quite well. Results show that adaptive sampling helps achieve energy savings of 62.12% and a 52.33% reduction in the amount of sampled data.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114751397","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":"Message from the FiCloud-2019 Chairs","authors":"","doi":"10.1109/ficloud.2019.00005","DOIUrl":"https://doi.org/10.1109/ficloud.2019.00005","url":null,"abstract":"On behalf of the organizing committee, we welcome you to the 7th International Conference on Future Internet of Things and Cloud (FiCloud-2019), IEEE CS-TCI, which is held during 26-28 August 2019, in Istanbul, Turkey. Istanbul is one of the major cities in Turkey wherein Europe and Asia meets across the Bosphorus Strait. Istanbul attracts a large number of visitors from different countries due to a combination of magnificent attractions such as centuries-old mosques, churches, traditional markets and modern restaurants and galleries. Alongside the attractions of Istanbul, we are delighted to see that FiCloud has become an established conference in the area of cloud computing and IoT and it is attracting an increasing number of participants every year. We are also pleased that the program committee has put together an interesting technical program which comprises a number of sessions that includes keynote, industrial talks and technical papers. We believe that the conference will provide useful opportunity to the participants for sharing ideas and establishing research network with colleagues from different countries across the world. The FiCloud 2019 focuses on new and emerging topics in the area of cloud and IoT which have been established as major modern IT platforms. Cloud and IoT have been used in various domains such as smart cities, home and office automation, healthcare services, weather and environment, transportation and so on. This year call-for-papers has generated significant interest in the research and development community and has attracted a large number of submissions from authors across different countries of the world. All the submitted papers went through a rigorous review process. Based on the reviews, 57 papers were accepted for the conference, which include, regular and short papers. The acceptance rate for the regular papers is 29%. Accepted papers have been organized into different technical sessions which span the three days of the conference. Technical sessions are related to various aspects of Cloud Computing and IoT such as security and privacy, smart environment, data and knowledge management, software-define network, fog and edge computing, energy efficiency, multimedia data and advanced networks. The success of the FiCloud conference involves contributions from many people in planning and organizing the technical program, social events and local arrangements. We are very grateful of the Local Organizing Chairs, Perin Unal (Teknopar, Turkey), Tacha Serif and Sezer Gören Uğurdağ (Yeditepe University, Turkey). We would like to thank Vincenzo Piuri, (General Co-Chair), Filipe Portela (Workshop Coordinator), Joyce El Haddad (Publicity Chair), Lin Guan, (Journal Special Issue Coordinator) and Barbara Masucci (Publication Chair). We thank members of the Program Committee for helping in the review process and for providing timely and constructive feedback to the authors. We are deeply indebted to the track chairs, Antonio","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114892263","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":"Distributed Network Behaviour Prediction Using Machine Learning and Agent-Based Micro Simulation","authors":"O. Makinde, A. Sangodoyin, Bashir Mohammed, D. Neagu, Umaru Adamu","doi":"10.1109/FiCloud.2019.00033","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00033","url":null,"abstract":"Distributed network behaviour is increasingly attracting huge attention both in academics and industrial initiatives, and most recently machine learning has been used in every possible field, leveraging its advantages.Typically, a distributed networking allows for the execution of distributed applications which results in complex behaviours among connected systems. This complexity in itself can create grey areas and vulnerabilities in the securities of these networks, therefore predicting the behaviour of these systems both at the macro and micro level has become essential. In the past most researchers have predicted network behaviour and network attack patterns by using aggregated data, but in this paper we focus on the application of machine learning at the individual user level such that the prediction of the individual network user behaviour pattern at the micro level becomes a substasive tool in creating a realistic agent based simulation of the whole distributed network, which in turn can serve as a test bed for predicting what-if scenarios such as network attacks on the target system or exposing vulnerabilities within the target system. The simulation result was validated by comparing the simulated interaction within the simulated network to the data logged in the server logs within the real life network system. This produced a correlation above 0.8, indicating a realistic model.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115963760","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 Framework for Distributed Denial of Service Attack Detection and Reactive Countermeasure in Software Defined Network","authors":"A. Sangodoyin, Bashir Mohammed, S. Moyo, I. Awan, Jules Pagna Disso","doi":"10.1109/FiCloud.2019.00019","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00019","url":null,"abstract":"Software Defined Network is an evolving and promising architecture which allows greater control over network entities by centralising the control plane. Although on the surface SDN provides a simple framework for network programmability and monitoring, few has been said about security measures to make it more robust to hitherto security flaws. Among the identified security flaws, DDoS flooding attack continue to be one of the major security concerns as attack volumes are increasing year on year. In this paper, we developed and implement the feasibility of spoofing and flooding DDoS attack on data plane devices using Mininet emulator, floodlight and network performance testing tools. We further developed a mitigation mechanism to counter these attacks by pushing reactive flow through the controller to the attacking switch port. Our result shows that pushing flows through the controller mitigates the flooding attack with low performance overheads, and requires no change to the controllers mode of operation for deployment, which indicates a good performance of our model.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114631282","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":"IoT and Microservice Architecture for Multimobility in a Smart City","authors":"Cristian Lai, Francesco Boi, Alberto Buschettu, Renato Caboni","doi":"10.1109/FiCloud.2019.00040","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00040","url":null,"abstract":"In this paper, we will illustrate how microservice architectures can be adopted to build Internet of Things services for multimobility in a smart city. Traditional centralized architectures are built as monolithic solutions, which lack the flexibility required to deal with heterogeneous devices efficiently. Microservice architectures implement small features bounded within a running process; independent microservices can be deployed separately in a distributed system. We have proposed a draft of architecture for general-purpose Internet of Things applications. Thanks to the choice of the microservice paradigm, the architecture is capable of interfacing with a wide range of heterogeneous IoT devices while implementing scalability by design. On this basis, a web application has been developed bearing in mind a set of real case scenarios mobility services for citizens multimobility in a smart city.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128520375","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":"Utilizing 5G in Industrial Robotic Applications","authors":"M. Aleksy, F. Dai, Nima Enayati, P. Rost, Guillermo Pocovi","doi":"10.1109/FiCloud.2019.00046","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00046","url":null,"abstract":"Sensor-based real-time control is being used in robotics for different purposes. The trend is to develop intelligent robots that can understand and react on environmental situations. This leads to the integration of more complex algorithms and involving multiple sensors and mobile assets for a more flexible and intelligent motion control. The requirement on computing power becomes often higher than it could be performed on the robot controller itself. Using an external computer introduces, nowadays, significant communication delays that make real-time control difficult or even impossible. Furthermore, to integrate mobile assets in a motion control scenario wired communication cannot be employed. A 5G network / local factory cloud may bridge this gap. In this paper we describe why 5G technology can make a significant contribution to enable new types of industrial robotics applications. Moreover, we present various use cases and discuss simulation results of a 5G-based robotics application in an industrial environment.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132410763","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":"Wake-Up Radio Systems for Cooperative-Intelligent Transport Systems Architecture","authors":"J. Casademont, Elena López-Aguilera, J. Aspas","doi":"10.1109/FiCloud.2019.00059","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00059","url":null,"abstract":"Cooperative-Intelligent Transport systems are new applications developed on top of communications between vehicles and between vehicles and fixed infrastructure. Their architecture envisages devices deployed along the routes and streets, transmitting and receiving different kind of messages belonging to different services. Quite often, these devices will be located in isolated places with very low number of vehicles passing nearby. Being in isolated places, these devices will require to be feed with rechargeable batteries and alternative power sources, the usage of which need to be very efficient. The fact of continuously transmitting messages whenever there is no vehicle to receive them demands a solution. In this paper, we propose to use a well-known saving power strategy already used in Internet of Things, the Wake-up Radio systems. As vehicular communications are based on IEEE 802.11 standard, we propose to use a Wake-up Radio system based on this standard as well, being thus no additional hardware needed for the wake-up transmitter. The paper analyses the feasibility of using this solution on several vehicular applications.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131312413","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":"MAS5G: Move Around Smartly in 5G","authors":"Shylendra Kumar, Rahul Banerji, Naman Gupta, Suman Kumar, Sukhdeep Singh, Avinash Bhat, Seungil Yoon, Shatarupa Dash","doi":"10.1109/FiCloud.2019.00037","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00037","url":null,"abstract":"5th Generation (5G) mobile networks is anticipated to serve large number of devices with multiple services in the single network. Due to heterogeneous service demand in a single network, 5G is presumed to be service based amalgamated with network slicing. The network will create a dedicated slice with dedicated resources and network elements based on the requested service. With so many devices and services under one umbrella of 5G, mobility becomes one of the crucial aspect, which can further have lot of impact on 5G NR (New Radio) requirements such as, radio resource optimization, seamless connectivity, minimal handovers and Quality of Experience (QoE). MAS5G (Move Smartly in 5G) explores the avenues of mobility management, wherein we consider three main services of 5G i.e. (1) enhanced Mobile Broadband (eMBB), (2) Ultra Reliable Low Latency Communications (URLLC) and (3) massive Machine Type Communications (mMTC). Unlike considering single mobility policy for all type of services (in the current networks), we propose MAS5G Central Mobility Manager (CMM), which will create dedicated schema for each service based on the network slice. With the help of User Equipment (UE) capability if network slice subscribed by subscriber is having skewed features and mobility requirement, MAS5G CMM creates schema as per the requirements of a particular network slice. It can help Access and Mobility Management Function (AMF) to provide dedicated attributes of Access and Mobility applied to devices based on predefined schemas. Through our simulation experiment, based on real time mMTC and eMBB traffic traces, we show that MAS5G is able to curtail the number of handovers, thus, saving the energy at UE significantly, which further helps to boost the QoE.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123978253","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":"Fuzzy Based Packet Scheduling Scheme using Non-Real Time Traffic in IP/MPLS Networks","authors":"Oba Zubair Mustapha, Mohammed Ali, Yim-Fun Hu, R. Abd‐Alhameed","doi":"10.1109/FiCloud.2019.00063","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00063","url":null,"abstract":"This paper presents Packets Processing Algorithm (PPA) in an Internet Protocol/Multiprotocol Label Switching (IP/MPLS) based networks. Mainly involved label distribution using Label Distribution Protocol and packet forwarding. Fuzzy based Packet Scheduling Algorithm (FPSA) would be incorporated with PPA in order to provide intelligent performance to the MPLS core networks. Previously, many research has been proposed on the MPLS Traffic Engineering. However, there is still a need to further research on MPLS simulator using different mechanisms such as the analytical model of MPLS, expert-based packet scheduling algorithm for MPLS QoS support. Since MPLS is not able to provide intelligent routing, it is necessary to propose an intelligent expert system of FPSA combined with PPA together with an analytical model of packet forwarding in the MPLS network. This will be able to justify the control of traffic congestion and reliable services. Furthermore, the network model created using NS2, which carries application such as File Transfer Protocol (FTP) will be used. Performance metrics of throughput and end-to-end delay are considered with the results obtained from trace files. Then, trace files are interpreted and used for the calculations of the aforementioned metrics by AWK script.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124347010","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}