Pub Date : 2021-09-22DOI: 10.1109/SmartNets50376.2021.9555418
Rabia Khan, R. Asif
In the context of Internet-of-Things (IoT), big Data analytic and the interconnected world, the scientific revolution is increasing the demand for an improved spectrum utilization. An efficient use of the existing spectrum is required for high data-rate transmission. There are several potential ways of solving the challenges of spectrum scarcity. In-Band Full Duplex (IBFD) and Non-Orthogonal Multiple Access (NOMA) are two techniques that can improve the spectral efficiency (SE) in a 5G and Beyond (5GB) cellular networks. This paper proposes a spectral efficient IBFD scheme, Reflective In-Band Full-Duplex (R-IBFD) algorithm for relay selection to improve security of the system with minimum interference. The interference is basically reduced by the addition of orthogonality between the transmitted and received signal in the IBFD mode. The proposed R-IBFD is evaluated with IBFD, Device-to-Device (D2D) and Artificial Noise (AN). Secrecy Outage Probability (SOP) and throughput is analysed for R-IBFD. The simulation results present the comparison between the R-IBFD and conventional decode-and-forward IBFD communication with one or more users operated as a relay.
{"title":"Reflective In-Band Full Duplex NOMA Communications for Secure 5G Networks","authors":"Rabia Khan, R. Asif","doi":"10.1109/SmartNets50376.2021.9555418","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555418","url":null,"abstract":"In the context of Internet-of-Things (IoT), big Data analytic and the interconnected world, the scientific revolution is increasing the demand for an improved spectrum utilization. An efficient use of the existing spectrum is required for high data-rate transmission. There are several potential ways of solving the challenges of spectrum scarcity. In-Band Full Duplex (IBFD) and Non-Orthogonal Multiple Access (NOMA) are two techniques that can improve the spectral efficiency (SE) in a 5G and Beyond (5GB) cellular networks. This paper proposes a spectral efficient IBFD scheme, Reflective In-Band Full-Duplex (R-IBFD) algorithm for relay selection to improve security of the system with minimum interference. The interference is basically reduced by the addition of orthogonality between the transmitted and received signal in the IBFD mode. The proposed R-IBFD is evaluated with IBFD, Device-to-Device (D2D) and Artificial Noise (AN). Secrecy Outage Probability (SOP) and throughput is analysed for R-IBFD. The simulation results present the comparison between the R-IBFD and conventional decode-and-forward IBFD communication with one or more users operated as a relay.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116327122","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 : 2021-09-22DOI: 10.1109/SmartNets50376.2021.9555419
Ambar Prajapati
Diverse heterogeneous systems that process digital information are critical factors behind an industry’s success. However, their diversity calls for standard protocols to pass massive, sometimes complex data sets through them. For years now, an open middleware protocol, called the Advanced Message Queuing Protocol (AMQP), is available to manage the messaging needs of non-compatible digital systems. However, AMQP appears to be less exploited than its potential in the industry now. Hence, this study explores emboldening interest, innovation, and investment by accentuating the core principles, success stories, and numerous integration possibilities with AMQP. The study reaches the background, overview, architecture patterns, and working methodology of AMQP. It describes the successful solutions built around AMQP and suggests further integration opportunities using AMQP based messaging. The study highlights AMQP solutions in practice and potential integration strategies using AMQP. With ongoing innovation, a flood of devices and systems have become ready to integrate and feed the cloud. The ubiquitous cloud is the place for all-size businesses, provided the connectivity comes cheaper, better, and quicker. Turning their focus onto the AMQP, the organizations can position themselves for better trade and commoditize their offerings competitively.
{"title":"AMQP and beyond","authors":"Ambar Prajapati","doi":"10.1109/SmartNets50376.2021.9555419","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555419","url":null,"abstract":"Diverse heterogeneous systems that process digital information are critical factors behind an industry’s success. However, their diversity calls for standard protocols to pass massive, sometimes complex data sets through them. For years now, an open middleware protocol, called the Advanced Message Queuing Protocol (AMQP), is available to manage the messaging needs of non-compatible digital systems. However, AMQP appears to be less exploited than its potential in the industry now. Hence, this study explores emboldening interest, innovation, and investment by accentuating the core principles, success stories, and numerous integration possibilities with AMQP. The study reaches the background, overview, architecture patterns, and working methodology of AMQP. It describes the successful solutions built around AMQP and suggests further integration opportunities using AMQP based messaging. The study highlights AMQP solutions in practice and potential integration strategies using AMQP. With ongoing innovation, a flood of devices and systems have become ready to integrate and feed the cloud. The ubiquitous cloud is the place for all-size businesses, provided the connectivity comes cheaper, better, and quicker. Turning their focus onto the AMQP, the organizations can position themselves for better trade and commoditize their offerings competitively.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"92 41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128909059","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 : 2021-09-22DOI: 10.1109/SmartNets50376.2021.9555426
Juan Benedicto L. Aceron, Marc Elizette R. Teves, Wilson M. Tan
Internet of Things (IoT) enabled devices are becoming increasingly common, but their reliance on internet connectivity reduces their overall reliability. The use of cloud servers is one way of achieving interoperability between different IoT devices. It is not necessary for two devices to know how to directly communicate with each other, because their vendor’s cloud servers will do it for them. As a result, cloud servers have become a critical part of the IoT infrastructure. For some of these devices, losing connectivity to them means that even very basic functions cease to work. A possible approach to this problem would be to analyze traffic between sensor-actuator pairs while online, build a model for each pair, and predict cloud server responses based on this model when the network loses internet connectivity. An important precursor to this approach is identifying sensor-actuator pairs in an IoT network, with no prior knowledge except for the hardware addresses of each IoT device - the association detection problem. This paper will discuss shortcomings of earlier approaches; describe a solution to the association detection problem using a modified Apriori algorithm, along with a method to create its input from network traffic; and finally, modify the solution to adapt to fluctuating network conditions. The final design accurately discovers sensor-actuator pairs using a simple approach with relatively low computational complexity, and with only minimal initial information. It will become an important first step towards providing a full offline reliability solution for IoT networks.
{"title":"Detecting Application-Level Associations Between IoT Devices Using A Modified Apriori Algorithm","authors":"Juan Benedicto L. Aceron, Marc Elizette R. Teves, Wilson M. Tan","doi":"10.1109/SmartNets50376.2021.9555426","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555426","url":null,"abstract":"Internet of Things (IoT) enabled devices are becoming increasingly common, but their reliance on internet connectivity reduces their overall reliability. The use of cloud servers is one way of achieving interoperability between different IoT devices. It is not necessary for two devices to know how to directly communicate with each other, because their vendor’s cloud servers will do it for them. As a result, cloud servers have become a critical part of the IoT infrastructure. For some of these devices, losing connectivity to them means that even very basic functions cease to work. A possible approach to this problem would be to analyze traffic between sensor-actuator pairs while online, build a model for each pair, and predict cloud server responses based on this model when the network loses internet connectivity. An important precursor to this approach is identifying sensor-actuator pairs in an IoT network, with no prior knowledge except for the hardware addresses of each IoT device - the association detection problem. This paper will discuss shortcomings of earlier approaches; describe a solution to the association detection problem using a modified Apriori algorithm, along with a method to create its input from network traffic; and finally, modify the solution to adapt to fluctuating network conditions. The final design accurately discovers sensor-actuator pairs using a simple approach with relatively low computational complexity, and with only minimal initial information. It will become an important first step towards providing a full offline reliability solution for IoT networks.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130058545","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 : 2021-09-22DOI: 10.1109/SmartNets50376.2021.9555421
Aydin Jadidi, Mostafa Rahimi Dizadji
This paper calculates sufficient conditions for semidefinite programming (SDP) to achieve exact recovery under the binary asymmetric stochastic block model with a noisy-label attribute for each node. We show that in regimes where semidefinite programming fails and cannot achieve the exact recovery on a graph realization, the presence of a noisy label attribute for each node permits exact recovery. We also calculate necessary conditions that are tight, showing that semidefinite programming is asymptotically optimal. Finally, numerical results on synthetic data are provided, indicating that the asymptotic results of this paper can also be useful for analyzing a graph realization with a finite number of nodes.
{"title":"Node Clustering in Binary Asymmetric Stochastic Block Model with Noisy Label Attributes via SDP","authors":"Aydin Jadidi, Mostafa Rahimi Dizadji","doi":"10.1109/SmartNets50376.2021.9555421","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555421","url":null,"abstract":"This paper calculates sufficient conditions for semidefinite programming (SDP) to achieve exact recovery under the binary asymmetric stochastic block model with a noisy-label attribute for each node. We show that in regimes where semidefinite programming fails and cannot achieve the exact recovery on a graph realization, the presence of a noisy label attribute for each node permits exact recovery. We also calculate necessary conditions that are tight, showing that semidefinite programming is asymptotically optimal. Finally, numerical results on synthetic data are provided, indicating that the asymptotic results of this paper can also be useful for analyzing a graph realization with a finite number of nodes.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114854111","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 : 2021-09-22DOI: 10.1109/SmartNets50376.2021.9555430
Di Wang, Ahmad Al-Rubaie, Sandra Stincic, John Davies, A. Aljasmi
In the age of IoT, a huge amount of real time data is produced every second from the colossal number and different types of sensors deployed. A generic and intelligent method to monitor these large data streams from a wide range of sources without human supervision or the use of expert knowledge is a big challenge. In this paper we propose, develop, and test a generic method for anomaly detection which is completely data-driven without human supervision. The proposed method is able to detect the underlying correlations amongst multiple sensors and detect the data patterns from all correlated sensor data through time. Anomalies are detected from marginal deviations from the normal identified patterns. The proposed method is applied to Building Management System’s data which include various types of sensors and proves the generality of the proposed method.
{"title":"Data-Driven Anomaly Detection Based on Multi-Sensor Data Fusion","authors":"Di Wang, Ahmad Al-Rubaie, Sandra Stincic, John Davies, A. Aljasmi","doi":"10.1109/SmartNets50376.2021.9555430","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555430","url":null,"abstract":"In the age of IoT, a huge amount of real time data is produced every second from the colossal number and different types of sensors deployed. A generic and intelligent method to monitor these large data streams from a wide range of sources without human supervision or the use of expert knowledge is a big challenge. In this paper we propose, develop, and test a generic method for anomaly detection which is completely data-driven without human supervision. The proposed method is able to detect the underlying correlations amongst multiple sensors and detect the data patterns from all correlated sensor data through time. Anomalies are detected from marginal deviations from the normal identified patterns. The proposed method is applied to Building Management System’s data which include various types of sensors and proves the generality of the proposed method.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122357862","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 : 2021-09-22DOI: 10.1109/SmartNets50376.2021.9555414
V. Marsic, E. Kampert, M. Higgins
Thanks to the recent advancements in the automotive industry, in smart city infrastructure and in electronics miniaturization, low-power wireless sensors are becoming a reference sensing technology connecting the internet of things (IoT) with the conventional world. This study provides an empirical solution to the modern radio location problem of inside-outside position discrimination for a mobile radio frequency (RF) source. The solution is delivered by a detection system that is fully enclosed inside a modern vehicle cabin, whereas the RF ranging is based solely on the received signal strength indicator (RSSI) and the individual sensor’s directivity achieved through shielding. The RF detection system is provided through a low-power wireless sensing network as a complete 2.4 GHz IEEE 802.15.4 solution, anticipating the future integration of this technology in the next generation of smartphones. The RSSI fingerprinting database, which is derived from empirical outdoor measurements for a range up to 5 m, delivers a consistent performance inside the highly RF-reflective vehicle cabin by exploiting the sensor position and directivity, focused on the front of each seat to avoid future human interference. Moreover, a theoretical propagation model based on Friis’ transmission equation constructed on system parameters shows a high correlation with the RSSI fingerprinting experimental model, supporting the consistency of the empirical model, and demonstrating a similar high inside-outside discrimination. The decision algorithm logics used for inside-outside discrimination illustrate a strong example for sensor group decision based on two spatial thresholds: maximum detection range for outside discrimination and the cabin width for inside discrimination. This study’s location system design creates exploitation possibilities beyond the vehicle environment. Various applications that require complete sensor encasement, such as road flushed traffic sensors or underground systems for parking space occupancy detection may benefit from this work’s findings.
{"title":"Position Discrimination of a 2.4 GHz IEEE 802.15.4 RF Mobile Source Inside-Outside a Vehicle","authors":"V. Marsic, E. Kampert, M. Higgins","doi":"10.1109/SmartNets50376.2021.9555414","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555414","url":null,"abstract":"Thanks to the recent advancements in the automotive industry, in smart city infrastructure and in electronics miniaturization, low-power wireless sensors are becoming a reference sensing technology connecting the internet of things (IoT) with the conventional world. This study provides an empirical solution to the modern radio location problem of inside-outside position discrimination for a mobile radio frequency (RF) source. The solution is delivered by a detection system that is fully enclosed inside a modern vehicle cabin, whereas the RF ranging is based solely on the received signal strength indicator (RSSI) and the individual sensor’s directivity achieved through shielding. The RF detection system is provided through a low-power wireless sensing network as a complete 2.4 GHz IEEE 802.15.4 solution, anticipating the future integration of this technology in the next generation of smartphones. The RSSI fingerprinting database, which is derived from empirical outdoor measurements for a range up to 5 m, delivers a consistent performance inside the highly RF-reflective vehicle cabin by exploiting the sensor position and directivity, focused on the front of each seat to avoid future human interference. Moreover, a theoretical propagation model based on Friis’ transmission equation constructed on system parameters shows a high correlation with the RSSI fingerprinting experimental model, supporting the consistency of the empirical model, and demonstrating a similar high inside-outside discrimination. The decision algorithm logics used for inside-outside discrimination illustrate a strong example for sensor group decision based on two spatial thresholds: maximum detection range for outside discrimination and the cabin width for inside discrimination. This study’s location system design creates exploitation possibilities beyond the vehicle environment. Various applications that require complete sensor encasement, such as road flushed traffic sensors or underground systems for parking space occupancy detection may benefit from this work’s findings.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"24 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132313164","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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