The Tactile Internet, as a promising communication infrastructure, will be rapidly developed in the 5G era. It supports real-time human-to-machine interactions through delivery of touch and sensation information. The realization of Tactile Internet is associated with the demands of ultra-reliable and ultra-low latency connectivity, which is an important issue needing to be handled. Device-to-device (D2D) communication is a short-distance ultra-low latency transmission mode in 5G, which is capable of D2D edge nodes communicating with each other directly without an infrastructure of access point. In addition, D2D communication can reuse the licensed band resources under the management of the base station. Therefore, to meet the reliability and latency demands, D2D can be advocated as a significant component of the Tactile Internet. This paper focuses on a reliability design of D2D which can support ultra-high reliability and ultra-low latency connectivity in the Tactile Internet. Specifically, we firstly simulate the reliability of D2D communication as a birth and death process. Then, we propose a redundant D2D transmission scheme, which enhances D2D reliability under the conditions of latency and resources. Finally, we design a dynamic programming (DP) algorithm to solve the problem of redundant D2D link selection. Simulation results about the transmission reliability and latency show that our proposed scheme can have better performance than the competing schemes, which can satisfy connectivity requirements of the Tactile Internet.
{"title":"Ultra-Reliability Connectivity with Redundant D2D Transmission Scheme for Tactile Internet","authors":"Zhe Yuan, Xin Wei, Jianxin Chen, B. Kang, Wenqin Zhuang, Liang Zhou","doi":"10.1109/GCWkshps45667.2019.9024454","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024454","url":null,"abstract":"The Tactile Internet, as a promising communication infrastructure, will be rapidly developed in the 5G era. It supports real-time human-to-machine interactions through delivery of touch and sensation information. The realization of Tactile Internet is associated with the demands of ultra-reliable and ultra-low latency connectivity, which is an important issue needing to be handled. Device-to-device (D2D) communication is a short-distance ultra-low latency transmission mode in 5G, which is capable of D2D edge nodes communicating with each other directly without an infrastructure of access point. In addition, D2D communication can reuse the licensed band resources under the management of the base station. Therefore, to meet the reliability and latency demands, D2D can be advocated as a significant component of the Tactile Internet. This paper focuses on a reliability design of D2D which can support ultra-high reliability and ultra-low latency connectivity in the Tactile Internet. Specifically, we firstly simulate the reliability of D2D communication as a birth and death process. Then, we propose a redundant D2D transmission scheme, which enhances D2D reliability under the conditions of latency and resources. Finally, we design a dynamic programming (DP) algorithm to solve the problem of redundant D2D link selection. Simulation results about the transmission reliability and latency show that our proposed scheme can have better performance than the competing schemes, which can satisfy connectivity requirements of the Tactile Internet.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115161965","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024643
Ziyi Li, Leifeng Ruan, Chengqiang Yao, Yao Dong, Na Cui
This paper investigates a 5G layer 2 network software architecture design on Intel architecture with best practice. We consider to utilize both CPU and hardware acceleration units to implement layer 2 protocols according to 3rd Generation Partnership Project (3GPP). By considering different split options in centralized unit and distributed unit, the proposed software architecture is proved to be able to suit for both scenarios, as well as small cell and macro cell deployment scenarios. Numerical results show that the proposed architecture can be realized on Intel® Xeon® processors with pretty good performance, with high throughput, minimum latency and minimum CPU costs.
{"title":"A Best Practice of 5G Layer 2 Network on Intel Architecture","authors":"Ziyi Li, Leifeng Ruan, Chengqiang Yao, Yao Dong, Na Cui","doi":"10.1109/GCWkshps45667.2019.9024643","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024643","url":null,"abstract":"This paper investigates a 5G layer 2 network software architecture design on Intel architecture with best practice. We consider to utilize both CPU and hardware acceleration units to implement layer 2 protocols according to 3rd Generation Partnership Project (3GPP). By considering different split options in centralized unit and distributed unit, the proposed software architecture is proved to be able to suit for both scenarios, as well as small cell and macro cell deployment scenarios. Numerical results show that the proposed architecture can be realized on Intel® Xeon® processors with pretty good performance, with high throughput, minimum latency and minimum CPU costs.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116760719","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024408
Zeyu Hu, Zexu Li, Yong Li
With the increasing amount of data in wireless network, the problem of energy consumption becomes more serious due to energy requirement for massive data transmission. This paper proposes an energy-efficient resource allocation algorithm with dynamic cache, which can adjust the caching strategy dynamically according to the channel state to reduce energy consumption under the constraint of smooth video streaming. The mathematical models of energy consumption for video transmission and decision selection are established, respectively. Given the dynamic channel environment, an on-line algorithm using reinforcement learning is proposed. In order to reduce the overall energy consumption of the system, and maintain the balance of energy consumption between transmission and calculation, the model of the off-line part is trained by using the neural network, and the calculation accuracy is adjusted adaptively. The simulation results show that the proposed algorithm can improve the total energy efficiency of the system effectively.
{"title":"Energy-Efficient Resource Allocation with Dynamic Cache Using Reinforcement Learning","authors":"Zeyu Hu, Zexu Li, Yong Li","doi":"10.1109/GCWkshps45667.2019.9024408","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024408","url":null,"abstract":"With the increasing amount of data in wireless network, the problem of energy consumption becomes more serious due to energy requirement for massive data transmission. This paper proposes an energy-efficient resource allocation algorithm with dynamic cache, which can adjust the caching strategy dynamically according to the channel state to reduce energy consumption under the constraint of smooth video streaming. The mathematical models of energy consumption for video transmission and decision selection are established, respectively. Given the dynamic channel environment, an on-line algorithm using reinforcement learning is proposed. In order to reduce the overall energy consumption of the system, and maintain the balance of energy consumption between transmission and calculation, the model of the off-line part is trained by using the neural network, and the calculation accuracy is adjusted adaptively. The simulation results show that the proposed algorithm can improve the total energy efficiency of the system effectively.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115266369","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024691
Yong Wang, Shasha Wang, Mu Zhou, Wei Nie, Xiaolong Yang, Z. Tian
This paper proposes a deep learning based twostream time series hand gesture recognition method using the frequency modulated continuous wave (FMCW) radar. Firstly, we collect the hand gesture data by the FMCW radar, and the range and Doppler of the hand gesture are estimated by the 2 dimensional Fast Fourier Transform (2D-FFT). Then, the angle of hand gesture is estimated by Multiple Signal classification (MUSIC) algorithm. Afterward, we construct the Range- Doppler Map (RDM), and generate the Angle-Time Map (ATM) via multiframe accumulation. The interference in RDM is filtered out by peak interference cancellation, and the hand gesture feature in RDM and ATM are enhanced by wavelet transform. A systematic of two-stream time series neural network is designed for gesture feature extraction and classification. The experimental results show that the recognition accuracy rate for each type hand gesture of the proposed method is higher than 95%.
{"title":"Two-Stream Time Sequential Network Based Hand Gesture Recognition Method Using Radar Sensor","authors":"Yong Wang, Shasha Wang, Mu Zhou, Wei Nie, Xiaolong Yang, Z. Tian","doi":"10.1109/GCWkshps45667.2019.9024691","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024691","url":null,"abstract":"This paper proposes a deep learning based twostream time series hand gesture recognition method using the frequency modulated continuous wave (FMCW) radar. Firstly, we collect the hand gesture data by the FMCW radar, and the range and Doppler of the hand gesture are estimated by the 2 dimensional Fast Fourier Transform (2D-FFT). Then, the angle of hand gesture is estimated by Multiple Signal classification (MUSIC) algorithm. Afterward, we construct the Range- Doppler Map (RDM), and generate the Angle-Time Map (ATM) via multiframe accumulation. The interference in RDM is filtered out by peak interference cancellation, and the hand gesture feature in RDM and ATM are enhanced by wavelet transform. A systematic of two-stream time series neural network is designed for gesture feature extraction and classification. The experimental results show that the recognition accuracy rate for each type hand gesture of the proposed method is higher than 95%.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123599945","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024368
Lars Nielsen, Rasmus Vestergaard, N. Yazdani, Prasad Talasila, D. Lucani, M. Sipos
The amount of data generated worldwide is expected to grow from 33 to 175 ZB by 2025 in part driven by the growth of Internet of Things (IoT) and cyber-physical systems (CPS). To cope with this enormous amount of data, new cloud storage techniques must be developed. Generalised Data Deduplication (GDD) is a new paradigm for reducing the cost of storage by systematically identifying near identical data chunks, storing their common component once, and a compact representation of the deviation to the original chunk for each chunk. This paper presents a system architecture for GDD and a proof-of-concept implementation. We evaluated the compression gain of Generalised Data Deduplication using three data sets of varying size and content and compared to the performance of the EXT4 and ZFS file systems, where the latter employs classic deduplication. We show that Generalised Data Deduplication provide up to 16.75% compression gain compared to both EXT4 and ZFS with data sets with less than 5 GB of data.
{"title":"Alexandria: A Proof-of-Concept Implementation and Evaluation of Generalised Data Deduplication","authors":"Lars Nielsen, Rasmus Vestergaard, N. Yazdani, Prasad Talasila, D. Lucani, M. Sipos","doi":"10.1109/GCWkshps45667.2019.9024368","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024368","url":null,"abstract":"The amount of data generated worldwide is expected to grow from 33 to 175 ZB by 2025 in part driven by the growth of Internet of Things (IoT) and cyber-physical systems (CPS). To cope with this enormous amount of data, new cloud storage techniques must be developed. Generalised Data Deduplication (GDD) is a new paradigm for reducing the cost of storage by systematically identifying near identical data chunks, storing their common component once, and a compact representation of the deviation to the original chunk for each chunk. This paper presents a system architecture for GDD and a proof-of-concept implementation. We evaluated the compression gain of Generalised Data Deduplication using three data sets of varying size and content and compared to the performance of the EXT4 and ZFS file systems, where the latter employs classic deduplication. We show that Generalised Data Deduplication provide up to 16.75% compression gain compared to both EXT4 and ZFS with data sets with less than 5 GB of data.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122317937","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024471
Chaoyi Wan, Yanxiang Jiang, F. Zheng, Pengcheng Zhu, Xiqi Gao, X. You
In this paper, delay and energy efficiency (EE) are investigated in three-tier fog radio access networks (F-RANs) with hybrid caching. By using tools from stochastic geometry, we firstly derive tractable expressions of delay for coded cached, non-partitioned cached and uncached files. Then, we derive tractable expressions of EE by jointly considering power consumed in circuits, transmissions and backhaul links. To balance delay and EE, the corresponding multi-objective optimization problem is formulated to obtain the optimal hybrid caching strategy. Numerical results show the flexibility of the proposed optimal hybrid caching strategy in delay-sensitive and EE-sensitive scenarios, and that fog access point (F-AP) density has a more significant impact on delay-sensitive scenarios than EE-sensitive scenarios.
{"title":"Analysis of Delay and Energy Efficiency in Fog Radio Access Networks with Hybrid Caching","authors":"Chaoyi Wan, Yanxiang Jiang, F. Zheng, Pengcheng Zhu, Xiqi Gao, X. You","doi":"10.1109/GCWkshps45667.2019.9024471","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024471","url":null,"abstract":"In this paper, delay and energy efficiency (EE) are investigated in three-tier fog radio access networks (F-RANs) with hybrid caching. By using tools from stochastic geometry, we firstly derive tractable expressions of delay for coded cached, non-partitioned cached and uncached files. Then, we derive tractable expressions of EE by jointly considering power consumed in circuits, transmissions and backhaul links. To balance delay and EE, the corresponding multi-objective optimization problem is formulated to obtain the optimal hybrid caching strategy. Numerical results show the flexibility of the proposed optimal hybrid caching strategy in delay-sensitive and EE-sensitive scenarios, and that fog access point (F-AP) density has a more significant impact on delay-sensitive scenarios than EE-sensitive scenarios.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122563439","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024558
Michel Massanet Ginard, T. Izydorczyk, P. Mogensen, Gilberto Berardinelli
Cellular networks will be one of the main pillars in the development of future vehicular communications. However, downlink (DL) and uplink (UL) channels must be improved to cope with the required reliability and high throughput of the coming vehicular use cases. Vehicle side solutions which benefit from the high antenna gains could improve the performance of the UL channel whose coverage is limited by UL transmit power. In this paper we experimentally evaluate the performance of a directional antennas switching system based on live Long Term Evolution (LTE) measurements. A total of more than 150 km have been driven comprising different radio propagation scenarios. The results show considerable improvements of Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ), together with a reduction of handovers specially in scenarios with high Line-Of-Sight probability. Additionally, it has been found that the UL throughput does not improve with the increase of antenna gain probably due to the UL Power Control mechanism used in LTE.
{"title":"Enhancing Vehicular Link Performance Using Directional Antennas at the Terminal","authors":"Michel Massanet Ginard, T. Izydorczyk, P. Mogensen, Gilberto Berardinelli","doi":"10.1109/GCWkshps45667.2019.9024558","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024558","url":null,"abstract":"Cellular networks will be one of the main pillars in the development of future vehicular communications. However, downlink (DL) and uplink (UL) channels must be improved to cope with the required reliability and high throughput of the coming vehicular use cases. Vehicle side solutions which benefit from the high antenna gains could improve the performance of the UL channel whose coverage is limited by UL transmit power. In this paper we experimentally evaluate the performance of a directional antennas switching system based on live Long Term Evolution (LTE) measurements. A total of more than 150 km have been driven comprising different radio propagation scenarios. The results show considerable improvements of Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ), together with a reduction of handovers specially in scenarios with high Line-Of-Sight probability. Additionally, it has been found that the UL throughput does not improve with the increase of antenna gain probably due to the UL Power Control mechanism used in LTE.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130551173","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024492
Dongchao Ma, Guangxing Han, Ailing Xiao, Yuekun Hu, Syed Hassan Ahmed, G. Aujla, Haotong Cao
Data compression is one main method for energy-saving optimization of the Internet of Things (IOT). However, the operational capability and the battery of nodes are relatively weak, and the continuous data compression brings potential data security and reliability risks. In this paper, a fragment aggregation strategy for transmission in wireless sensor network (FAT-WSN) is proposed to minimize the number of data fragments and energy consumption with secure sensing. The FATWSN is regarded as a problem of Mixed Integer Programming (MIP), which is then solved in an iterative way with considerable elasticity and low complexity. In addition, by adjusting the routing planning and traffic distribution, the FAT-WSN optimizes the number of data transfers without destructing any data or introducing a compression calculation burden. Experimental results show that the proposed FAT-WSN can effectively reduce the number of data transfers, cut down the energy consumption, and attains standout performance on network life without extra time overhead, when compared with existing data aggregation methods of the same kind.
{"title":"FAT-WSN: A Non Destructive and Secure Aggregation Strategy for Energy Saving in WSN","authors":"Dongchao Ma, Guangxing Han, Ailing Xiao, Yuekun Hu, Syed Hassan Ahmed, G. Aujla, Haotong Cao","doi":"10.1109/GCWkshps45667.2019.9024492","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024492","url":null,"abstract":"Data compression is one main method for energy-saving optimization of the Internet of Things (IOT). However, the operational capability and the battery of nodes are relatively weak, and the continuous data compression brings potential data security and reliability risks. In this paper, a fragment aggregation strategy for transmission in wireless sensor network (FAT-WSN) is proposed to minimize the number of data fragments and energy consumption with secure sensing. The FATWSN is regarded as a problem of Mixed Integer Programming (MIP), which is then solved in an iterative way with considerable elasticity and low complexity. In addition, by adjusting the routing planning and traffic distribution, the FAT-WSN optimizes the number of data transfers without destructing any data or introducing a compression calculation burden. Experimental results show that the proposed FAT-WSN can effectively reduce the number of data transfers, cut down the energy consumption, and attains standout performance on network life without extra time overhead, when compared with existing data aggregation methods of the same kind.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130688001","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024690
Himanshu Sharma, Neeraj Kumar, B. K. Panigrahi
Smart Grid (SG) is the next generation power sys- tem having automated mechanisms for transmission, distribution and generation. Advanced Metering Infrastructure (AMI) in SG, is used for the effective monitoring and controlling of the electric- ity consumption by the end users and is considered as one of the core components of SG. However, AMI is susceptible to various types of cyber-attacks, as it consists of components which are vulnerable to various types of attacks in SG . Therefore physical layer security becomes the important aspect in SG. Motivated from these facts, in this paper, we present Low Density parity check (LDPC) coding scheme for the Additive White Gaussian Noise (AWGN) channel to improve the security at physical layer used in AMI for bidirectional data transfer between meter and SG. Specifically, we designed the scheme for securing the wireless communication channel in AMI from the eavesdropping attack. The proposed scheme is efficient as it minimizes the Bit Error Rate (BER) at the legitimate receiver to lower values of Signal to Noise Ratio (SNR), thus making it difficult for an eavesdropper to listen and to modify the data transmission taking place bi- directionally. Moreover, it significantly reduces the usage of SNR, which leads to low power consumption. Numerical analysis shows that 25% and 41% improvements are observed in SNR using our proposed scheme as compared to the existing schemes i.e., hamming coded and uncoded data transmission.
{"title":"Physical Layer Security of AMI Data Transmission in Smart Grid Environment","authors":"Himanshu Sharma, Neeraj Kumar, B. K. Panigrahi","doi":"10.1109/GCWkshps45667.2019.9024690","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024690","url":null,"abstract":"Smart Grid (SG) is the next generation power sys- tem having automated mechanisms for transmission, distribution and generation. Advanced Metering Infrastructure (AMI) in SG, is used for the effective monitoring and controlling of the electric- ity consumption by the end users and is considered as one of the core components of SG. However, AMI is susceptible to various types of cyber-attacks, as it consists of components which are vulnerable to various types of attacks in SG . Therefore physical layer security becomes the important aspect in SG. Motivated from these facts, in this paper, we present Low Density parity check (LDPC) coding scheme for the Additive White Gaussian Noise (AWGN) channel to improve the security at physical layer used in AMI for bidirectional data transfer between meter and SG. Specifically, we designed the scheme for securing the wireless communication channel in AMI from the eavesdropping attack. The proposed scheme is efficient as it minimizes the Bit Error Rate (BER) at the legitimate receiver to lower values of Signal to Noise Ratio (SNR), thus making it difficult for an eavesdropper to listen and to modify the data transmission taking place bi- directionally. Moreover, it significantly reduces the usage of SNR, which leads to low power consumption. Numerical analysis shows that 25% and 41% improvements are observed in SNR using our proposed scheme as compared to the existing schemes i.e., hamming coded and uncoded data transmission.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130379613","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024537
Shubham Arora, S. Goel, P. Chhikara, Harpreet Singh, Neeraj Kumar, P. Rana
The emission of the harmful CO2 in the environ- mental from the traditional fuel based vehicles is one of the major factors for the rise and popularity of electric vehicles (EVs) in the modern smart cities in the recent years. In this context, EVs provide an eco-friendly environment in the modern smart city. But, there exists many challenges (such as smart charging, path planning, information dissemination etc) for the usage of EVs in the modern smart city. So, there is a need for the new techniques and solutions to improve the efficiency of the existing charging system of the EVs. Keeping focus on these points, this paper proposes a new technique for the electric vehicle wireless charging using RFID tags alongwith an optimized path planning to have an optimal charging cost. In the proposed scheme, the application of RFID tags located at various points across the city is used to have an efficient payment system during EVs charging. To illustrate the proposed scheme, an algorithm which provides the navigation is also designed. The performance of the proposed scheme is tested keeping in view of the mobility of the EVs for an optimal path finding. The results obtained prove the effectiveness of the proposed solution.
{"title":"An Efficient Scheme for Wireless Charging of Electric Vehicles Using RFID with an Optimal Path Planning","authors":"Shubham Arora, S. Goel, P. Chhikara, Harpreet Singh, Neeraj Kumar, P. Rana","doi":"10.1109/GCWkshps45667.2019.9024537","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024537","url":null,"abstract":"The emission of the harmful CO2 in the environ- mental from the traditional fuel based vehicles is one of the major factors for the rise and popularity of electric vehicles (EVs) in the modern smart cities in the recent years. In this context, EVs provide an eco-friendly environment in the modern smart city. But, there exists many challenges (such as smart charging, path planning, information dissemination etc) for the usage of EVs in the modern smart city. So, there is a need for the new techniques and solutions to improve the efficiency of the existing charging system of the EVs. Keeping focus on these points, this paper proposes a new technique for the electric vehicle wireless charging using RFID tags alongwith an optimized path planning to have an optimal charging cost. In the proposed scheme, the application of RFID tags located at various points across the city is used to have an efficient payment system during EVs charging. To illustrate the proposed scheme, an algorithm which provides the navigation is also designed. The performance of the proposed scheme is tested keeping in view of the mobility of the EVs for an optimal path finding. The results obtained prove the effectiveness of the proposed solution.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129958134","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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