Pub Date : 2016-10-01DOI: 10.1109/CAMAD.2016.7790327
M. Hasan, H. Mouftah
This paper proposes a latency-aware trust system placement scheme for smart grid SCADA networks. Trust systems are specialized security devices that are deployed to provide cyber protection to supervisory control and data acquisition (SCADA) systems. Their functionalities include firewalling and intrusion detection. They are capable of monitoring both types of traffic, ingress and egress. Only a selected number of nodes are equipped with trust systems due to budgetary constraints. Those nodes are known as the trust nodes. As trust nodes are responsible for distributing time critical messages, it is important to consider the impact of latency in the selection of trust nodes. Network segmentation is a commonly used way of trust node computations. This paper proposes a latency-aware segmentation approach that exploits the graph theoretic properties of minimum spanning trees (MSTs). Numerical results are obtained through case studies for the IEEE BUS 118 test system topology. The results reveal that the proposed scheme is capable of reducing the impact of latency.
提出了一种基于延迟感知的智能电网SCADA网络信任系统配置方案。信任系统是为监控和数据采集(SCADA)系统提供网络保护而部署的专用安全设备。它们的功能包括防火墙和入侵检测。它们能够监控两种类型的流量，入口和出口。由于预算限制，只有选定数量的节点配备了信任系统。这些节点被称为信任节点。由于信任节点负责分发时间关键消息，因此在选择信任节点时考虑延迟的影响非常重要。网络分段是一种常用的信任节点计算方法。本文提出了一种利用最小生成树(MSTs)图论特性的延迟感知分割方法。通过对IEEE BUS 118测试系统拓扑的实例分析，得到了数值结果。结果表明，所提出的方案能够降低延迟的影响。
{"title":"Latency-aware segmentation and trust system placement in smart grid SCADA networks","authors":"M. Hasan, H. Mouftah","doi":"10.1109/CAMAD.2016.7790327","DOIUrl":"https://doi.org/10.1109/CAMAD.2016.7790327","url":null,"abstract":"This paper proposes a latency-aware trust system placement scheme for smart grid SCADA networks. Trust systems are specialized security devices that are deployed to provide cyber protection to supervisory control and data acquisition (SCADA) systems. Their functionalities include firewalling and intrusion detection. They are capable of monitoring both types of traffic, ingress and egress. Only a selected number of nodes are equipped with trust systems due to budgetary constraints. Those nodes are known as the trust nodes. As trust nodes are responsible for distributing time critical messages, it is important to consider the impact of latency in the selection of trust nodes. Network segmentation is a commonly used way of trust node computations. This paper proposes a latency-aware segmentation approach that exploits the graph theoretic properties of minimum spanning trees (MSTs). Numerical results are obtained through case studies for the IEEE BUS 118 test system topology. The results reveal that the proposed scheme is capable of reducing the impact of latency.","PeriodicalId":207184,"journal":{"name":"2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129992688","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 : 2016-10-01DOI: 10.1109/CAMAD.2016.7790321
M. O. B. Saeed, A. Zerguine, M. S. Sohail, S. Rehman, W. Ejaz, A. Anpalagan
The Internet of Things (IoT) paradigm depends on sensor networks to collect data and perform information processing as well as communication tasks to attain a common goal. This work presents the formulation and analysis of a sparsity-based variable step-size distributed least-mean-square algorithm based on the diffusion cooperation scheme in wireless sensor networks. In particular, the scheme is applied to compressible systems of which the sparse systems are a special case. The performance of the algorithm is assessed for compressible systems in comparison with existing algorithms in order to showcase the superiority of the proposed algorithm. The proposed scheme is then applied to diffusion-based wireless sensor networks for estimating a compressible system and steady-state analysis is carried out for the proposed scheme.
{"title":"Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs","authors":"M. O. B. Saeed, A. Zerguine, M. S. Sohail, S. Rehman, W. Ejaz, A. Anpalagan","doi":"10.1109/CAMAD.2016.7790321","DOIUrl":"https://doi.org/10.1109/CAMAD.2016.7790321","url":null,"abstract":"The Internet of Things (IoT) paradigm depends on sensor networks to collect data and perform information processing as well as communication tasks to attain a common goal. This work presents the formulation and analysis of a sparsity-based variable step-size distributed least-mean-square algorithm based on the diffusion cooperation scheme in wireless sensor networks. In particular, the scheme is applied to compressible systems of which the sparse systems are a special case. The performance of the algorithm is assessed for compressible systems in comparison with existing algorithms in order to showcase the superiority of the proposed algorithm. The proposed scheme is then applied to diffusion-based wireless sensor networks for estimating a compressible system and steady-state analysis is carried out for the proposed scheme.","PeriodicalId":207184,"journal":{"name":"2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130150262","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 : 2016-10-01DOI: 10.1109/CAMAD.2016.7790331
Richa Siddavaatam, I. Woungang, Glaucio H. S. Carvalho, A. Anpalagan
Recently, mobile cloud computing (MCC) has arisen as a promising technology to augment the user equipment (UE)' capabilities in emerging 5G systems by wirelessly transferring the computation-burden from it to the resource-rich cloud computing centers. In this setting, the massive data transfer over a standalone wireless network becomes a challenging task due to the expected increased latency over the wireless channels associated with the remote cloud data centers. This paper proposes an efficient data transfer method for mobile big data along with a data correction technique to cope with the problem of failure to retrieve the data chunks in the cloud. The proposed algorithm exploits the overlapping feature of heterogeneous wireless networks (HetNets) to expedite the mobile big data transfer between the UE and the cloud by splitting the data into a number of smaller chunks which are transmitted simultaneously over the wireless links. Simulation results are provided, showing that our proposed method outperforms the baseline data storage method.
{"title":"An efficient method for mobile big data transfer over HetNet in emerging 5G systems","authors":"Richa Siddavaatam, I. Woungang, Glaucio H. S. Carvalho, A. Anpalagan","doi":"10.1109/CAMAD.2016.7790331","DOIUrl":"https://doi.org/10.1109/CAMAD.2016.7790331","url":null,"abstract":"Recently, mobile cloud computing (MCC) has arisen as a promising technology to augment the user equipment (UE)' capabilities in emerging 5G systems by wirelessly transferring the computation-burden from it to the resource-rich cloud computing centers. In this setting, the massive data transfer over a standalone wireless network becomes a challenging task due to the expected increased latency over the wireless channels associated with the remote cloud data centers. This paper proposes an efficient data transfer method for mobile big data along with a data correction technique to cope with the problem of failure to retrieve the data chunks in the cloud. The proposed algorithm exploits the overlapping feature of heterogeneous wireless networks (HetNets) to expedite the mobile big data transfer between the UE and the cloud by splitting the data into a number of smaller chunks which are transmitted simultaneously over the wireless links. Simulation results are provided, showing that our proposed method outperforms the baseline data storage method.","PeriodicalId":207184,"journal":{"name":"2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131699903","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 : 2016-10-01DOI: 10.1109/CAMAD.2016.7790364
Christopher Mekhiel, Xavier N Fernando
With the emergence of Light-Fidelity (Li-Fi) networks, it is essential to study the underlying challenges. Shadowing and low reflected energy that make the line-of-sight condition as a main requirement are the major obstacles in optical wireless communications. In this paper, we discuss the steps and procedure required for enabling a beam forming system for LED light. This can focus light on the desired direction improving throughput and overcome shadowing. A possible monolithic steering solution is introduced which can work despite incoherent light emanating from the LED. Electronic steering of the light beam will also have lighting applications.
{"title":"LED beam steering for Li-Fi communications","authors":"Christopher Mekhiel, Xavier N Fernando","doi":"10.1109/CAMAD.2016.7790364","DOIUrl":"https://doi.org/10.1109/CAMAD.2016.7790364","url":null,"abstract":"With the emergence of Light-Fidelity (Li-Fi) networks, it is essential to study the underlying challenges. Shadowing and low reflected energy that make the line-of-sight condition as a main requirement are the major obstacles in optical wireless communications. In this paper, we discuss the steps and procedure required for enabling a beam forming system for LED light. This can focus light on the desired direction improving throughput and overcome shadowing. A possible monolithic steering solution is introduced which can work despite incoherent light emanating from the LED. Electronic steering of the light beam will also have lighting applications.","PeriodicalId":207184,"journal":{"name":"2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127189680","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 : 2016-09-05DOI: 10.1109/CAMAD.2016.7790363
Trinh Van Chien, Emil Björnson, E. Larsson
This paper investigates the spectral efficiency (SE) of multi-cell Massive Multi-Input Multi-Output (MIMO) using different channel models. Prior works have derived closed-form SE bounds and approximations for Gaussian distributed channels, while we consider the double scattering model — a prime example of a non-Gaussian channel for which it is intractable to obtain closed form SE expressions. The channels are estimated using limited resources, which gives rise to pilot contamination, and the estimates are used for linear detection and to compute the SE numerically. Analytical and numerical examples are used to describe the key behaviors of the double scattering models, which differ from conventional Massive MIMO models. Finally, we provide multi-cell simulation results that compare the double scattering model with uncorrelated Rayleigh fading and explain under what conditions we can expect to achieve similar SEs.
{"title":"Multi-cell massive MIMO performance with double scattering channels","authors":"Trinh Van Chien, Emil Björnson, E. Larsson","doi":"10.1109/CAMAD.2016.7790363","DOIUrl":"https://doi.org/10.1109/CAMAD.2016.7790363","url":null,"abstract":"This paper investigates the spectral efficiency (SE) of multi-cell Massive Multi-Input Multi-Output (MIMO) using different channel models. Prior works have derived closed-form SE bounds and approximations for Gaussian distributed channels, while we consider the double scattering model — a prime example of a non-Gaussian channel for which it is intractable to obtain closed form SE expressions. The channels are estimated using limited resources, which gives rise to pilot contamination, and the estimates are used for linear detection and to compute the SE numerically. Analytical and numerical examples are used to describe the key behaviors of the double scattering models, which differ from conventional Massive MIMO models. Finally, we provide multi-cell simulation results that compare the double scattering model with uncorrelated Rayleigh fading and explain under what conditions we can expect to achieve similar SEs.","PeriodicalId":207184,"journal":{"name":"2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130260825","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 : 2016-08-17DOI: 10.1109/CAMAD.2016.7790362
Giovanni Interdonato, H. Ngo, E. Larsson, P. Frenger
In this paper we consider a time-division duplex cell-free massive multiple-input multiple-output (MIMO) system where many distributed access points (APs) simultaneously serve many users. A normalized conjugate beamforming scheme, which satisfies short-term average power constraints at the APs, is proposed and analyzed taking into account the effect of imperfect channel information. We derive an approximate closed-form expression for the per-user achievable downlink rate of this scheme. We also provide, analytically and numerically, a performance comparison between the normalized conjugate beamforming and the conventional conjugate beamforming scheme in [1] (which satisfies long-term average power constraints). Normalized conjugate beamforming scheme reduces the beamforming uncertainty gain, which comes from the users' lack of the channel state information knowledge, and hence, it improves the achievable downlink rate compared to the conventional conjugate beam-forming scheme.
{"title":"On the performance of cell-free massive MIMO with short-term power constraints","authors":"Giovanni Interdonato, H. Ngo, E. Larsson, P. Frenger","doi":"10.1109/CAMAD.2016.7790362","DOIUrl":"https://doi.org/10.1109/CAMAD.2016.7790362","url":null,"abstract":"In this paper we consider a time-division duplex cell-free massive multiple-input multiple-output (MIMO) system where many distributed access points (APs) simultaneously serve many users. A normalized conjugate beamforming scheme, which satisfies short-term average power constraints at the APs, is proposed and analyzed taking into account the effect of imperfect channel information. We derive an approximate closed-form expression for the per-user achievable downlink rate of this scheme. We also provide, analytically and numerically, a performance comparison between the normalized conjugate beamforming and the conventional conjugate beamforming scheme in [1] (which satisfies long-term average power constraints). Normalized conjugate beamforming scheme reduces the beamforming uncertainty gain, which comes from the users' lack of the channel state information knowledge, and hence, it improves the achievable downlink rate compared to the conventional conjugate beam-forming scheme.","PeriodicalId":207184,"journal":{"name":"2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127022414","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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