{"title":"Use of frequency diversity to improve the performance of RSSI-based distance measurements","authors":"D. Capriglione, Deborah Casinelli, L. Ferrigno","doi":"10.1109/IWMN.2015.7322973","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322973","url":null,"abstract":"In several fields of application of wireless sensors networks (WSNs) the ability of estimating the position of a node with respect to a reference coordinate is a key feature. The most of the WSN applications involve indoor environments and low costs requirements, so the Global Position System cannot always assure a reliable operating and cheap solution. As a consequence, other methods have to be considered for nodes locating, among all, the most widespread methods are based on Received Signal Strength Indicator (RSSI) measurements. The main advantage of this method is that it does not require additional hardware since the measurement of RSSI is often built-in in radio chipsets for the most common standards in use for a WSN (Bluetooth, Wi-Fi, ZigBee). However, solutions based on RSSI measurements suffer of high uncertainty due to several phenomena as high variability of RSSI measurements, external interferences and multipath to cite a few. In this paper the influence of the multipath is investigated and the effects of different processing techniques for multipath mitigating, based on the employment of frequency diversity, are analyzed in simulation environment and in real scenarios.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"10 24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114185992","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}
A. D. Giudice, G. Graditi, A. Pietrosanto, V. Paciello
{"title":"Power quality in smart distribution grids","authors":"A. D. Giudice, G. Graditi, A. Pietrosanto, V. Paciello","doi":"10.1109/IWMN.2015.7322967","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322967","url":null,"abstract":"Demand Side Management requires both an adequate architecture to observe and control the status of the power grid and precise and real time measurements on which rely. In case of frequency fluctuations, precision is no more guaranteed so without adding more hardware the authors exploit FFT interpolation to estimate the real frequency of electrical signals. After the discovery phase follows the measurement phase in which a low cost Smart Meter computes the metrics specified in the following chapters. Finally, a comparison among measures taken by a reference instrument and the proposed meter is reported.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116759670","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":"Traffic classification and verification using unsupervised learning of Gaussian Mixture Models","authors":"Hassan Alizadeh, Abdolrahman Khoshrou, A. Zúquete","doi":"10.1109/IWMN.2015.7322980","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322980","url":null,"abstract":"This paper presents the use of unsupervised Gaussian Mixture Models (GMMs) for the production of per-application models using their flows' statistics in order to be exploited in two different scenarios: (i) traffic classification, where the goal is to classify traffic flows by application (ii) traffic verification or traffic anomaly detection, where the aim is to confirm whether or not traffic flow generated by the claimed application conforms to its expected model. Unlike the first scenario, the second one is a new research path that has received less attention in the scope of Intrusion Detection System (IDS) research. The term “unsupervised” refers to the method ability to select the optimal number of components automatically without the need of careful initialization. Experiments are carried out using a public dataset collected from a real network. Favorable results indicate the effectiveness of unsupervised GMMs.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115430200","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":"Towards a reference ontology for security in the Internet of Things","authors":"B. Mozzaquatro, R. Jardim-Gonçalves, C. Agostinho","doi":"10.1109/IWMN.2015.7322984","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322984","url":null,"abstract":"The diversity of wireless technologies, connected to the Internet and the more powerful and smaller embedded devices, allows to encompass services to improve everyday activities around us through new applications and businesses. This context emerged with the Internet of Things (IoT), where different technologies connected with the Internet provide several applications to change people's lifestyle. However, such integration of heterogeneous devices causes many problems of security and privacy due vulnerabilities of technologies, carrying important consequences to the users of IoT technologies. In this context, we proposed a reference ontology (IoTSec) with security concepts of M2M communications to help find secure solutions to the IoT environment. We followed a literature review and MENTOR methodology to gather and harmonize security ontologies and knowledge of vulnerabilities, which are the root causes for problems of all information security. In order to elucidate our approach, we describe a case study about the applicability of IoTSec in the industrial scenario.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128241497","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":"Data processing algorithm for direction tracking in indoor localization","authors":"G. Frigo, G. Giorgi, C. Narduzzi","doi":"10.1109/IWMN.2015.7322975","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322975","url":null,"abstract":"Indoor localization based on inertial sensors such as accelerometer, gyroscope and magnetometer, has gathered broad interest within the scientific community. This approach in fact does not require the installation of external devices since it relies on low-cost devices of common use, like smartphones, which are used both as measurement platform and user interface. In this paper we focus the attention on implementing algorithms for estimating and tracking the heading direction of a user while he/she is walking inside a building. The novelty of the method here proposed, is that it does not refer to an absolute estimation of the heading direction of a user with respect to the four cardinal directions, as usually done in literature. The method proposed in this paper is based on detecting relative changes in the direction of a user with respect to a reference system obtained during an initial calibration phase. Then, the fundamental direction which exhibits the minimum ℓ2-norm distance with respect to the raw measured values is provided in output. As it can be noted from experimental results reported in the paper, the direction of a user can be detected with a sufficient reliability.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124229162","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}
A. Nisio, T. D. Noia, C. G. C. Carducci, M. Spadavecchia
{"title":"Design of a low cost multipurpose wireless sensor network","authors":"A. Nisio, T. D. Noia, C. G. C. Carducci, M. Spadavecchia","doi":"10.1109/IWMN.2015.7322986","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322986","url":null,"abstract":"This paper proposes the implementation of a low-cost and reliable multipurpose wireless sensor network framework. It has been designed to be easily customizable in order to adapt it to the particular application.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124996711","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}
A. Patuleia, A. Espírito-Santo, V. Paciello, A. Pietrosanto
{"title":"Algorithmic development for power quality monitoring by a network of wireless sensors","authors":"A. Patuleia, A. Espírito-Santo, V. Paciello, A. Pietrosanto","doi":"10.1109/IWMN.2015.7322965","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322965","url":null,"abstract":"Human activity is more than ever dependent on electronic systems. These devices are fed through the electrical grid, which in turn supplies multiple devices simultaneously. The normal operation of an equipment can produce quality events in the power bus that can lead others to fail. This justifies the need for a wireless network of sensors (WSN) spread through the electrical installation. In addition, a wireless solution results in easiness of installation and maintenance. The main task of a WSN will be to monitor in real time the occurrence of power quality events. These goals will demand the development of efficient computational algorithms to detect and report these quality events through the network. In this paper two different solutions are described and compared. In a first approach the wavelet transformation is used for event detection. This solution is afterwards compared with a less computational demanding algorithm based on segmentation and labelling which also compacts the information to be transmitted.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127325690","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":"Radio frequency measurements on a SBX daughter board using GNU radio and USRP N-210","authors":"Rafik Zitouni, S. Ataman, M. Mathian, L. George","doi":"10.1109/IWMN.2015.7322969","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322969","url":null,"abstract":"In this paper we report Radio Frequency (RF) measurements performed on a GNU Radio/Universal Software Radio Peripheral (USRP) testbed. The USRP hardware is connected to SBX daughter board, both designed by Ettus Research. We can confirm the bandwidth stated by the designer, nonetheless the output power was found to be constantly decreasing with increasing the output frequency. USRP Hardware Driver (UHD) gain is a supplementary amplification parameter available to the user, nonetheless its manipulation has to be done with care. For the lower part of the SBX frequency band (400-1500 MHz), simply increasing the UHD gain above some value has the effect to increase the Total Harmonic Distortion (THD) without any increase in the desired carrier frequency power but with a significant increase in the out-of-band emission.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129701005","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 multi-user assistive system for the user safety monitoring in care facilities","authors":"B. Andò, S. Baglio, C. O. Lombardo, V. Marletta","doi":"10.1109/IWMN.2015.7322983","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322983","url":null,"abstract":"This paper deals with the development of a multiuser assistive system for the monitoring of elders and people with neurological pathologies (e.g. Alzheimer) during their staying in social care or health facilities. The system adopts wearable devices to monitor the dynamics of the users and a dedicated wireless network for communication. The wearable device is able to recognize critical events like falls or prolonged inactivity, to monitor the user posture and to send an alarm to a centralized monitoring system which will broadcast the alarm to caregivers alert devices. The paper focuses on the smart algorithms developed for the classification of the ADL (Activities of Daily Living) which use the information from the inertial sensors installed on the user device. In particular a novel, with respect to the State Of The Art, multi-sensor data fusion approach, combining data from the onboard accelerometer and the gyroscope is presented. Apart from alerts management, the information provided by this system is useful to track the evolution of the user pathology, also during rehabilitation tasks.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133872875","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}
L. Angrisani, F. Bonavolontã, Alessandro Tocchi, R. S. L. Moriello
{"title":"Frequency domain measurement node based on compressive sampling for sensors networks","authors":"L. Angrisani, F. Bonavolontã, Alessandro Tocchi, R. S. L. Moriello","doi":"10.1109/IWMN.2015.7322972","DOIUrl":"https://doi.org/10.1109/IWMN.2015.7322972","url":null,"abstract":"The paper deals with the problem of designing and implementing a measurement node based on compressive sampling (CS). The considered node is tailored for wide area sensors networks aimed to carry out measurements in frequency domain. To this aim, the node takes advantage from some known or recently proposed CS features in such a way as to outperform the nominal specification of its data acquisition module. To make the spectrum estimation feasible on the node level, a suitable strategy for input signal random sampling and an efficient CS implementation, i.e. the greedy algorithms based on the so-called match-pursuit approach, are exploited. First tests are presented, related to a cost-effective microcontroller from STMicrocontroller, namely STM32F429ZI, characterized by a data memory depth sufficient to execute the agile computational scheme of the greedy algorithm. The estimated spectra concur with those obtained through standard discrete Fourier transform-based approaches, thus highlighting the feasibility of the proposed measurement node.","PeriodicalId":440636,"journal":{"name":"2015 IEEE International Workshop on Measurements & Networking (M&N)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123339098","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}