Pub Date : 2019-07-22DOI: 10.1109/IWCMC.2019.8766452
Oluyomi Simpson, Yichuang Sun
In this paper, a framework for capitalizing on the potential benefits of physical layer security in an amplify-and-forward cooperative spectrum sensing (AF-CSS) in a cognitive radio network (CRN) using a stochastic geometry is proposed. In the CRN network the sensing data from secondary users (SUs) are collected by a fusion center (FC) with the help of access points (AP) as relays, and when malicious eavesdropping secondary users (SUs) are listening. We focus on the secure transmission of active SUs transmitting their sensing data to the AP. Closed expressions for the average secrecy rate are presented. Numerical results corroborate our analysis and show that multiple antennas at the APs can enhance the security of the AF-CSS-CRN. The obtained numerical results show that average secrecy rate between the AP and its correlated FC decreases when the number of AP is increased. Nevertheless, we find that an increase in the number of AP initially increases the overall average secrecy rate, with a perilous value at which the overall average secrecy rate then decreases. While increasing the number of active SUs, there is a decrease in the secrecy rate between the sensor and its correlated AP.
{"title":"A Stochastic Method to Physical Layer Security of an Amplify-and-Forward Spectrum Sensing in Cognitive Radio Networks: Secondary User to Relay","authors":"Oluyomi Simpson, Yichuang Sun","doi":"10.1109/IWCMC.2019.8766452","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766452","url":null,"abstract":"In this paper, a framework for capitalizing on the potential benefits of physical layer security in an amplify-and-forward cooperative spectrum sensing (AF-CSS) in a cognitive radio network (CRN) using a stochastic geometry is proposed. In the CRN network the sensing data from secondary users (SUs) are collected by a fusion center (FC) with the help of access points (AP) as relays, and when malicious eavesdropping secondary users (SUs) are listening. We focus on the secure transmission of active SUs transmitting their sensing data to the AP. Closed expressions for the average secrecy rate are presented. Numerical results corroborate our analysis and show that multiple antennas at the APs can enhance the security of the AF-CSS-CRN. The obtained numerical results show that average secrecy rate between the AP and its correlated FC decreases when the number of AP is increased. Nevertheless, we find that an increase in the number of AP initially increases the overall average secrecy rate, with a perilous value at which the overall average secrecy rate then decreases. While increasing the number of active SUs, there is a decrease in the secrecy rate between the sensor and its correlated AP.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131360805","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 : 2019-07-01DOI: 10.1109/IWCMC.2019.8766787
A. A. Bisu, Andrew Gallant, Hongjian Sun, Katharine Brigham, Alan Purvis
In this paper, we present the experimental measurement and evaluation of Transmission Control Protocol (TCP) performance over Internet Protocol (IP) using a real, heterogeneous network environment, incorporating at least one leg of satellite and land mobile link that, together, make an Integrated Satellite-Terrestrial Network (ISTN) testbed for our investigation and performance analysis. Originally, the TCP algorithm was developed for short latency and low link error network environments and has become a de-facto standard protocol for the reliable delivery of IP traffic over the Internet, which, in reality, is a heterogeneous network environment nowadays. Using the real latency figures measured with our testbed systems, we numerically analyse the performance of a standard TCP scheme and compare it with the newly developed TCP Hybla algorithm that claims to address performance degradation due to long round-trip-time (RTT) and high wireless link error channels such as Geostationary Satellite Links. The overall performance was compared with the achievable throughput of each of the two TCP algorithms and available bandwidth of the real testbed system. TCP Hybla performed better even with changing real values of RTT obtained from a real hybrid ISTN environment with a Geostationary Satellite link as the testbed.
{"title":"Experimental Performance Evaluation of TCP Over an Integrated Satellite-Terrestrial Network Environment","authors":"A. A. Bisu, Andrew Gallant, Hongjian Sun, Katharine Brigham, Alan Purvis","doi":"10.1109/IWCMC.2019.8766787","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766787","url":null,"abstract":"In this paper, we present the experimental measurement and evaluation of Transmission Control Protocol (TCP) performance over Internet Protocol (IP) using a real, heterogeneous network environment, incorporating at least one leg of satellite and land mobile link that, together, make an Integrated Satellite-Terrestrial Network (ISTN) testbed for our investigation and performance analysis. Originally, the TCP algorithm was developed for short latency and low link error network environments and has become a de-facto standard protocol for the reliable delivery of IP traffic over the Internet, which, in reality, is a heterogeneous network environment nowadays. Using the real latency figures measured with our testbed systems, we numerically analyse the performance of a standard TCP scheme and compare it with the newly developed TCP Hybla algorithm that claims to address performance degradation due to long round-trip-time (RTT) and high wireless link error channels such as Geostationary Satellite Links. The overall performance was compared with the achievable throughput of each of the two TCP algorithms and available bandwidth of the real testbed system. TCP Hybla performed better even with changing real values of RTT obtained from a real hybrid ISTN environment with a Geostationary Satellite link as the testbed.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133503947","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 : 2019-06-24DOI: 10.1109/IWCMC.2019.8766620
Qingtao Zeng, Anping Xu, Yeli Li, Chunhe Piao
How to further improve clinical efficacy of acupuncture, extend its application range is a key issue in the research and promotion of acupuncture. Famous acupuncturists represent the highest academic level and treatment ability, and have an important influence on development of acupuncture and rehabilitation of patients. Therefore, how to accurately find the acupuncturist is a difficult problem for both patients and peer doctors. At the same time, Internet is also full of a large number of false information, how to accurately analyze the real acupuncturist from these information is the key issue. We can automatically acquire these tags by using information collection technology, and select acupuncture experts from them by combining artificial intelligence. However, tags of social network users is sparse, only a small number of users have tags, and the number of tags is limited. Most users only publish articles and pay attention to other interested users and blogs. They do not tag themselves. There are problems of no tags or less tags, which make it more difficult to find acupuncturists. For untagged users, we can consider predicting tags from their social relationships. In this paper, we design an intelligent tag prediction algorithms for acupuncture experts, which first predicts intimate users of users, and then predicts the users' tags through intimate users' tags. Firstly, possible close users are selected as candidates through cosine similarity. If the user doesn't have an object of interest, then replace it with his fans. Subsequently, user tags are predicted according to the tags of the target audience or fans. Finally, the effectiveness of ITPAE is verified by simulation experiments.
{"title":"Intelligent Tag Prediction Algorithms for Acupuncture Experts","authors":"Qingtao Zeng, Anping Xu, Yeli Li, Chunhe Piao","doi":"10.1109/IWCMC.2019.8766620","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766620","url":null,"abstract":"How to further improve clinical efficacy of acupuncture, extend its application range is a key issue in the research and promotion of acupuncture. Famous acupuncturists represent the highest academic level and treatment ability, and have an important influence on development of acupuncture and rehabilitation of patients. Therefore, how to accurately find the acupuncturist is a difficult problem for both patients and peer doctors. At the same time, Internet is also full of a large number of false information, how to accurately analyze the real acupuncturist from these information is the key issue. We can automatically acquire these tags by using information collection technology, and select acupuncture experts from them by combining artificial intelligence. However, tags of social network users is sparse, only a small number of users have tags, and the number of tags is limited. Most users only publish articles and pay attention to other interested users and blogs. They do not tag themselves. There are problems of no tags or less tags, which make it more difficult to find acupuncturists. For untagged users, we can consider predicting tags from their social relationships. In this paper, we design an intelligent tag prediction algorithms for acupuncture experts, which first predicts intimate users of users, and then predicts the users' tags through intimate users' tags. Firstly, possible close users are selected as candidates through cosine similarity. If the user doesn't have an object of interest, then replace it with his fans. Subsequently, user tags are predicted according to the tags of the target audience or fans. Finally, the effectiveness of ITPAE is verified by simulation experiments.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128560790","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 : 2019-06-24DOI: 10.1109/IWCMC.2019.8766756
A. Ivanov, Maria Stoliarenko, S. Kruglik, S. Novichkov, Andrey Savinov
In this paper we propose a new low power resource management for Low Earth Orbit (LEO) satellite communication system with a hybrid multi-beamforming. LEO satellite communication systems are known to have a serious mobility management problem, resulting in inefficient radio resources management and extra power consumption. Joint time/frequency/space resources allocation requires a lot of computational resources to serve thousands of active users. Data traffic suffers from a huge amount of service data, caused by multiple time-frequency resources reallocation. The Earth’s footprint has a curved ellipse shape, which also requires extra computations to calculate the user time location inside a single beam. By utilizing hybrid beamforming structure of the system, we propose a low power resource allocation scheme with a minimal control channel traffic.
{"title":"Dynamic Resource Allocation in LEO Satellite","authors":"A. Ivanov, Maria Stoliarenko, S. Kruglik, S. Novichkov, Andrey Savinov","doi":"10.1109/IWCMC.2019.8766756","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766756","url":null,"abstract":"In this paper we propose a new low power resource management for Low Earth Orbit (LEO) satellite communication system with a hybrid multi-beamforming. LEO satellite communication systems are known to have a serious mobility management problem, resulting in inefficient radio resources management and extra power consumption. Joint time/frequency/space resources allocation requires a lot of computational resources to serve thousands of active users. Data traffic suffers from a huge amount of service data, caused by multiple time-frequency resources reallocation. The Earth’s footprint has a curved ellipse shape, which also requires extra computations to calculate the user time location inside a single beam. By utilizing hybrid beamforming structure of the system, we propose a low power resource allocation scheme with a minimal control channel traffic.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124595998","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 : 2019-06-24DOI: 10.1109/IWCMC.2019.8766568
Hassan Malik, S. Khan, Jeffrey Leonel Redondo Sarmiento, A. Kuusik, M. Alam, Y. Moullec, Sven Pärand
Recent advancements in cellular technologies allow discrete computing devices embedded with sensors to communicate over long distances with low-cost and low-energy consumption. This could drastically impact the future internet of thing (IoT) ecosystem. In this regard, Third Generation Partnership Project (3GPP) has introduced a new cellular-based technology called Narrowband Internet of Things (NB-IoT) which is one of the potential technologies for enabling IoT application in vehicular, health-care, industry 4.0, etc. However, NB-IoT technology is still in its infancy and so far it is unclear whether it is sufficiently reliable to complement or replace existing short-range and cellular technologies to enable such use-case scenarios. Therefore, this paper presents a preliminary investigation of the coverage of NB-IoT in three different scenarios i.e., outdoor, indoor, and underground with empirical measurements, one of the key performance indicators in which operators are most interested. The measurements were conducted on Tallinn University of Technology (TalTech) campus and nearby residential areas within a range of 700 m. The obtained results indicate that NB-IoT is able to provide good connectivity to meet the IoT application requirements in outdoor and indoor environments. However, for an underground scenario with the beam enabled for 700 m, it is only possible to provide connectivity to the devices up to 400 m. Furthermore, it is also observed that NB-IoT is able to provide connectivity to devices with a received signal strength indicator (RSSI) value as low as −105 dBm as compared to −95 dBm as in long-term evolution (LTE).
{"title":"NB-IoT Network Field Trial: Indoor, Outdoor and Underground Coverage Campaign","authors":"Hassan Malik, S. Khan, Jeffrey Leonel Redondo Sarmiento, A. Kuusik, M. Alam, Y. Moullec, Sven Pärand","doi":"10.1109/IWCMC.2019.8766568","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766568","url":null,"abstract":"Recent advancements in cellular technologies allow discrete computing devices embedded with sensors to communicate over long distances with low-cost and low-energy consumption. This could drastically impact the future internet of thing (IoT) ecosystem. In this regard, Third Generation Partnership Project (3GPP) has introduced a new cellular-based technology called Narrowband Internet of Things (NB-IoT) which is one of the potential technologies for enabling IoT application in vehicular, health-care, industry 4.0, etc. However, NB-IoT technology is still in its infancy and so far it is unclear whether it is sufficiently reliable to complement or replace existing short-range and cellular technologies to enable such use-case scenarios. Therefore, this paper presents a preliminary investigation of the coverage of NB-IoT in three different scenarios i.e., outdoor, indoor, and underground with empirical measurements, one of the key performance indicators in which operators are most interested. The measurements were conducted on Tallinn University of Technology (TalTech) campus and nearby residential areas within a range of 700 m. The obtained results indicate that NB-IoT is able to provide good connectivity to meet the IoT application requirements in outdoor and indoor environments. However, for an underground scenario with the beam enabled for 700 m, it is only possible to provide connectivity to the devices up to 400 m. Furthermore, it is also observed that NB-IoT is able to provide connectivity to devices with a received signal strength indicator (RSSI) value as low as −105 dBm as compared to −95 dBm as in long-term evolution (LTE).","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126998510","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 : 2019-06-24DOI: 10.1109/IWCMC.2019.8766459
Benjamin Leiding, Arne Bochem, Luca Hernández Acosta
Even though technological advances changed and improved our daily life in various ways, the risks and dangers of extreme sport activities (ESAs) still persist and the progress of technology had little impact on them. Existing emergency rescue devices for ESAs still require manual activation and do not detect emergency situations autonomously. However, fusing the data feeds of simple sensors can easily enhance the functionalities of those devices and allow for the detection of emergency situations and subsequent rescue in the case of injuries. We identify the difficulties and challenges posed by ESAs, the role and potential value of information technology in such activities and example use cases and scenarios. We further present a prototype device for climbers that can detect potentially dangerous fall events.
{"title":"Automated Sensor-Fusion Based Emergency Rescue for Remote and Extreme Sport Activities","authors":"Benjamin Leiding, Arne Bochem, Luca Hernández Acosta","doi":"10.1109/IWCMC.2019.8766459","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766459","url":null,"abstract":"Even though technological advances changed and improved our daily life in various ways, the risks and dangers of extreme sport activities (ESAs) still persist and the progress of technology had little impact on them. Existing emergency rescue devices for ESAs still require manual activation and do not detect emergency situations autonomously. However, fusing the data feeds of simple sensors can easily enhance the functionalities of those devices and allow for the detection of emergency situations and subsequent rescue in the case of injuries. We identify the difficulties and challenges posed by ESAs, the role and potential value of information technology in such activities and example use cases and scenarios. We further present a prototype device for climbers that can detect potentially dangerous fall events.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129097144","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 : 2019-06-24DOI: 10.1109/IWCMC.2019.8766481
Amira Chriki, Haifa Touati, H. Snoussi, F. Kamoun
Unmanned Aerial Vehicles (UAVs) have known much popularity for dangerous missions for human operators or for applications which do not need human intervention (such as monitoring and surveillance of physical infrastructures and interest areas). They operate in frequency bands (IEEE L-Band, IEEE S-Band, and ISM band) shared with other users. Accordingly, these frequency bands have become overcrowded and UAVs may face the issue of spectrum scarcity. Furthermore, there are particular difficulties associated with aeronautical communication links. Cognitive radio (CR) has emerged as a promising strategy for resolving the problems caused by scarce spectrum. It checks the spectrum availability and allows the adjustment of the transmission parameters. The aim is to opportunistically use spectral bands with minimum interference to applications or other users. In this paper, we present a centralized CR based frequency allocation scheme for UAV-Ground Control Station (GCS) communication in surveillance applications within an urban environment. In the proposed model, the GCS monitors and allocates available WiMAX frequencies using CR and Software Defined Radio (SDR). If no WiMAX frequency is available at a given time, the Wi-Fi will be used. Therefore in the worst case, our approach will have the same performance as when the Wi-Fi is only used for UAV-GCS communication.
{"title":"Centralized Cognitive Radio Based Frequency Allocation for UAVs Communication","authors":"Amira Chriki, Haifa Touati, H. Snoussi, F. Kamoun","doi":"10.1109/IWCMC.2019.8766481","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766481","url":null,"abstract":"Unmanned Aerial Vehicles (UAVs) have known much popularity for dangerous missions for human operators or for applications which do not need human intervention (such as monitoring and surveillance of physical infrastructures and interest areas). They operate in frequency bands (IEEE L-Band, IEEE S-Band, and ISM band) shared with other users. Accordingly, these frequency bands have become overcrowded and UAVs may face the issue of spectrum scarcity. Furthermore, there are particular difficulties associated with aeronautical communication links. Cognitive radio (CR) has emerged as a promising strategy for resolving the problems caused by scarce spectrum. It checks the spectrum availability and allows the adjustment of the transmission parameters. The aim is to opportunistically use spectral bands with minimum interference to applications or other users. In this paper, we present a centralized CR based frequency allocation scheme for UAV-Ground Control Station (GCS) communication in surveillance applications within an urban environment. In the proposed model, the GCS monitors and allocates available WiMAX frequencies using CR and Software Defined Radio (SDR). If no WiMAX frequency is available at a given time, the Wi-Fi will be used. Therefore in the worst case, our approach will have the same performance as when the Wi-Fi is only used for UAV-GCS communication.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121140791","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 : 2019-06-24DOI: 10.1109/IWCMC.2019.8766789
Wei Ren, Yang Zhou, Wei Ji, Ting Li, Yan Liang, Fei Li
Signal detection is one of the fundamental problems in three-dimensional multiple-input multiple-output (3D-MIMO) wireless communication systems. This paper addresses a signal detection problem in 3D-MIMO system, in which matrix approximate inversion techniques is considered. It is well known that the signal detection accuracy of nonlinear signal detection algorithm is improved compared with the linear signal detection algorithm in MIMO systems, but its hardware requirements are higher in practical applications. Therefore, a more easily implemented linear signal detection algorithm is needed in MIMO systems. This paper studies the equivalent matrix inversion method based on linear equation generation and introduces the signal detection scheme based on matrix approximate inversion in large-scale 3D MIMO systems.
{"title":"Matrix Approximate Inversion Based Signal Detection in Large-scale 3D-MIMO Systems","authors":"Wei Ren, Yang Zhou, Wei Ji, Ting Li, Yan Liang, Fei Li","doi":"10.1109/IWCMC.2019.8766789","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766789","url":null,"abstract":"Signal detection is one of the fundamental problems in three-dimensional multiple-input multiple-output (3D-MIMO) wireless communication systems. This paper addresses a signal detection problem in 3D-MIMO system, in which matrix approximate inversion techniques is considered. It is well known that the signal detection accuracy of nonlinear signal detection algorithm is improved compared with the linear signal detection algorithm in MIMO systems, but its hardware requirements are higher in practical applications. Therefore, a more easily implemented linear signal detection algorithm is needed in MIMO systems. This paper studies the equivalent matrix inversion method based on linear equation generation and introduces the signal detection scheme based on matrix approximate inversion in large-scale 3D MIMO systems.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134215235","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 : 2019-06-24DOI: 10.1109/IWCMC.2019.8766469
Ahmad Karaki, A. Nasser, C. A. Jaoude, Hassan Harb
Wireless sensor networks are becoming very popular nowadays. Sensors in such networks are used to gather data periodically about a given zone area and send the collected data to the sink. However, such networks face several challenges especially the limited energy source and the data management. Hence, data sampling approach is becoming one of the essential techniques that saves he sensor energies and extend the network lifetime. Adaptive algorithms are created to allow each sensor to adapt its sampling rate to the application under surveillance, which leads to reduced data collection thus, reducing energy consumption. In this paper, we propose a new adaptive sampling technique that is dedicated to periodic sensor network applications. Our technique consists of two stages: aggregation and adapting stages. The first stage is applied at sensor level and aims to reduce the amount of data collected by the sensor. The second stage is applied at an intermediate level node called cluster-head (CH). The CH receives data periodically from the sensors and computes the new sampling rate for each sensor based on the spatio-temporal correlation between the sensors. Our technique is evaluated based on real sensor data collected in the Intel lab. The obtained results show the effectiveness of our technique in terms reducing the energy consumption while ensuring a high level of data accuracy and coverage network.
{"title":"An Adaptive Sampling Technique for Massive Data Collection in Distributed Sensor Networks","authors":"Ahmad Karaki, A. Nasser, C. A. Jaoude, Hassan Harb","doi":"10.1109/IWCMC.2019.8766469","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766469","url":null,"abstract":"Wireless sensor networks are becoming very popular nowadays. Sensors in such networks are used to gather data periodically about a given zone area and send the collected data to the sink. However, such networks face several challenges especially the limited energy source and the data management. Hence, data sampling approach is becoming one of the essential techniques that saves he sensor energies and extend the network lifetime. Adaptive algorithms are created to allow each sensor to adapt its sampling rate to the application under surveillance, which leads to reduced data collection thus, reducing energy consumption. In this paper, we propose a new adaptive sampling technique that is dedicated to periodic sensor network applications. Our technique consists of two stages: aggregation and adapting stages. The first stage is applied at sensor level and aims to reduce the amount of data collected by the sensor. The second stage is applied at an intermediate level node called cluster-head (CH). The CH receives data periodically from the sensors and computes the new sampling rate for each sensor based on the spatio-temporal correlation between the sensors. Our technique is evaluated based on real sensor data collected in the Intel lab. The obtained results show the effectiveness of our technique in terms reducing the energy consumption while ensuring a high level of data accuracy and coverage network.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130793103","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 : 2019-06-24DOI: 10.1109/IWCMC.2019.8766499
M. Nazzal, M. A. Aygül, Ali̇ Görçi̇n, H. Arslan
Recent research considers the application of a lens antenna array in order to provide efficient beam selection in beamspace massive MIMO. Achieving the advantages of this beam selection paradigm requires efficient channel estimation in the beamspace. Along this line, beamspace sparsity is an efficient regularizer to this problem. In this paper, we propose using a dictionary trained over a set of example beam selection matrices, as a beam selection tool. In this context, a learned dictionary can more effectively guarantee the sparsity of the representation at the specified sparsity level, owing to the dictionary learning process. This means that it gives a better sparse representation, and, consequently, a better channel estimation quality. Simulations validate that using a trained dictionary improves the quality of channel estimation, as tested over two channel models with different operating scenarios.
{"title":"Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array","authors":"M. Nazzal, M. A. Aygül, Ali̇ Görçi̇n, H. Arslan","doi":"10.1109/IWCMC.2019.8766499","DOIUrl":"https://doi.org/10.1109/IWCMC.2019.8766499","url":null,"abstract":"Recent research considers the application of a lens antenna array in order to provide efficient beam selection in beamspace massive MIMO. Achieving the advantages of this beam selection paradigm requires efficient channel estimation in the beamspace. Along this line, beamspace sparsity is an efficient regularizer to this problem. In this paper, we propose using a dictionary trained over a set of example beam selection matrices, as a beam selection tool. In this context, a learned dictionary can more effectively guarantee the sparsity of the representation at the specified sparsity level, owing to the dictionary learning process. This means that it gives a better sparse representation, and, consequently, a better channel estimation quality. Simulations validate that using a trained dictionary improves the quality of channel estimation, as tested over two channel models with different operating scenarios.","PeriodicalId":363800,"journal":{"name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","volume":"16 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133203813","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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