Pub Date : 2016-07-06DOI: 10.1109/CITS.2016.7546393
Xiao-chao Dang, Yili Hei, Zhanjun Hao
Received signal strength indicator (RSSI)-based localization attracting a great deal of research interest since it requires a relatively low configuration, battery power and easy control. However, the indoor localization algorithm based on RSSI is easy to be influenced by the channel interference and the environment. In this paper, a novel method is presented for improving the accuracy of indoor localization, which is based on anchor node feedback correction. First, the whole environment is divided before positioning, after the minimum location area is determined, the model parameters of the path loss in the region are estimated, then the distance between nodes is calculated accurately, and the feedback of neighbor anchor nodes is used to improve the accuracy further. The simulation results indicate that the method improves the accuracy of node localization and lower the delay and energy consumption of networks compared with conventional RSSI-based algorithm.
基于接收信号强度指示器(Received signal strength indicator, RSSI)的定位技术以其相对低的配置、电池电量和易于控制等优点吸引了大量的研究兴趣。然而，基于RSSI的室内定位算法容易受到信道干扰和环境的影响。本文提出了一种基于锚节点反馈校正的室内定位精度提高方法。首先在定位前对整个环境进行划分，确定最小定位区域后，估计区域内路径损失的模型参数，然后精确计算节点间距离，并利用相邻锚节点的反馈进一步提高精度。仿真结果表明，与传统的rssi算法相比，该方法提高了节点定位的精度，降低了网络的时延和能耗。
{"title":"An improved indoor localization based on RSSI and feedback correction of anchor node for WSN","authors":"Xiao-chao Dang, Yili Hei, Zhanjun Hao","doi":"10.1109/CITS.2016.7546393","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546393","url":null,"abstract":"Received signal strength indicator (RSSI)-based localization attracting a great deal of research interest since it requires a relatively low configuration, battery power and easy control. However, the indoor localization algorithm based on RSSI is easy to be influenced by the channel interference and the environment. In this paper, a novel method is presented for improving the accuracy of indoor localization, which is based on anchor node feedback correction. First, the whole environment is divided before positioning, after the minimum location area is determined, the model parameters of the path loss in the region are estimated, then the distance between nodes is calculated accurately, and the feedback of neighbor anchor nodes is used to improve the accuracy further. The simulation results indicate that the method improves the accuracy of node localization and lower the delay and energy consumption of networks compared with conventional RSSI-based algorithm.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134281094","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546385
Amit Dua, Neeraj Kumar, Mukesh Singh, M. Obaidat, K. Hsiao
Message exchange among vehicles is an integral part of communication in smart cities. Messages are exchanged to inform the other vehicles about emergency situations such as-safety alerts, and location privacy. Due to the usage of an insecure wireless medium, malicious activities in vehicles, i.e., illegal use of the false messages, can astray other vehicles. Security in communication among the vehicles can be provided by encrypting the messages using various security keys. However, it has been found from the literature that existing schemes for secure communication require large key size, and therefore may these schemes may not be applicable to smart cities. To address these issues, a secure message communication scheme among vehicles based on elliptic curve cryptography (ECC) is proposed. The proposed scheme needs smaller key size leading to mathematically simple and cost effective solution. Furthermore, the scheme provides mutual authentication, confidentiality, and forward secrecy. Security analysis prove that the proposed scheme is suitable to be adapted in smart city environment.
{"title":"Secure message communication among vehicles using elliptic curve cryptography in smart cities","authors":"Amit Dua, Neeraj Kumar, Mukesh Singh, M. Obaidat, K. Hsiao","doi":"10.1109/CITS.2016.7546385","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546385","url":null,"abstract":"Message exchange among vehicles is an integral part of communication in smart cities. Messages are exchanged to inform the other vehicles about emergency situations such as-safety alerts, and location privacy. Due to the usage of an insecure wireless medium, malicious activities in vehicles, i.e., illegal use of the false messages, can astray other vehicles. Security in communication among the vehicles can be provided by encrypting the messages using various security keys. However, it has been found from the literature that existing schemes for secure communication require large key size, and therefore may these schemes may not be applicable to smart cities. To address these issues, a secure message communication scheme among vehicles based on elliptic curve cryptography (ECC) is proposed. The proposed scheme needs smaller key size leading to mathematically simple and cost effective solution. Furthermore, the scheme provides mutual authentication, confidentiality, and forward secrecy. Security analysis prove that the proposed scheme is suitable to be adapted in smart city environment.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133342603","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546413
Chengzhi Jiang, Dayu Zhang, Song Zhang, He Wang
Increasing process variation and reducing supply voltage can significantly degrade the write-ability of near-threshold SRAM cells. Meanwhile, the dynamic write assisting techniques and the high write latency at near-threshold Vdd makes the traditional static performance metrics no longer capable. In this paper, we adopt transient negative bit-line voltage technique (T-NBL) to improve cell write-ability without disturb the read ability and data retention ability. And we propose a new set of performance metrics to fully access the performance of SRAM cells considering the dynamic nature of the write operation. Meanwhile, the efficient robustness consideration has been included. Statistical simulations with a 40nm technology design verify the proposed performance metrics.
{"title":"Near-threshold SRAM design with dynamic write-assist circuitry","authors":"Chengzhi Jiang, Dayu Zhang, Song Zhang, He Wang","doi":"10.1109/CITS.2016.7546413","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546413","url":null,"abstract":"Increasing process variation and reducing supply voltage can significantly degrade the write-ability of near-threshold SRAM cells. Meanwhile, the dynamic write assisting techniques and the high write latency at near-threshold Vdd makes the traditional static performance metrics no longer capable. In this paper, we adopt transient negative bit-line voltage technique (T-NBL) to improve cell write-ability without disturb the read ability and data retention ability. And we propose a new set of performance metrics to fully access the performance of SRAM cells considering the dynamic nature of the write operation. Meanwhile, the efficient robustness consideration has been included. Statistical simulations with a 40nm technology design verify the proposed performance metrics.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132372290","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546440
Kun Fang, R. Xue, Yanbo Zhu
To reduce the inflation for statistical uncertainty and describe the real error distribution objectively, generalized autoregressive conditional heteroskedasticity (GARCH) model is utilized in this paper to model and overbound ground based augmentation system (GBAS) heavy-tail errors. Based on the GARCH model, heavy-tail errors are normalized to the standard Gaussian distribution, and error samples from all elevations are mixed together to calculate overbound without being grouped. By this means, compared with classic error distribution models, the heavy-tail errors are overbounded more tightly, and the calculated inflation factors, error confidence limits in pseudorange domain and protection levels in position domain are reduced correspondingly.
{"title":"GBAS heavy-tail error overbounding with GARCH model","authors":"Kun Fang, R. Xue, Yanbo Zhu","doi":"10.1109/CITS.2016.7546440","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546440","url":null,"abstract":"To reduce the inflation for statistical uncertainty and describe the real error distribution objectively, generalized autoregressive conditional heteroskedasticity (GARCH) model is utilized in this paper to model and overbound ground based augmentation system (GBAS) heavy-tail errors. Based on the GARCH model, heavy-tail errors are normalized to the standard Gaussian distribution, and error samples from all elevations are mixed together to calculate overbound without being grouped. By this means, compared with classic error distribution models, the heavy-tail errors are overbounded more tightly, and the calculated inflation factors, error confidence limits in pseudorange domain and protection levels in position domain are reduced correspondingly.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114362784","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546454
Li Cai, Zhexin Xu, Yi Wu, Xiao Lin
In this paper, reconstruction and allocation transmission sequences are investigated for addressing media access control (MAC) without feedback in Vehicular Ad-hoc Network (VANET). Global Navigation Satellite Systems (GNSS) based code allocation is a great solution. It tessellates the geographic region to be covered into regular hexagonal quantization cell. All users access to their location information at marked time instances through GNSS. The transmission sequences are pre-assigned to the location cells and then dynamically assigned to the users. It also proposed a concept of sequence reuse that is akin to frequency reuse. A drawback of GNSS-based code allocation is the average user throughput (AUT) is relatively low. Transmission sequence reconstruction and allocation (TSRA) based on GNSS-based code allocation is proposed. Firstly, in each superframe T, each user acquires user irrepressibility (UI) sequence according to GNSS-based mechanism in the first period to obtain the information of neighbors in the same cell cluster; users in different direction use half of the superframe T respectively. Secondly, users reconstruct a set of UI sequences according to the number of neighbors in the same cell cluster. Then, users acquire a reconstructed sequence according to the order of the users' first successful “1” in the first period. The performance of TSRA is compared with GNSS-based code allocation by ns-2 with the vehicle mobility data from the Simulation of Urban Mobility (SUMO). The simulation results show that the AUT of TSRA is better than GNSS-based code allocation in a relatively sparser distributed network.
{"title":"Transmission sequence reconstruction and allocation for VANET","authors":"Li Cai, Zhexin Xu, Yi Wu, Xiao Lin","doi":"10.1109/CITS.2016.7546454","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546454","url":null,"abstract":"In this paper, reconstruction and allocation transmission sequences are investigated for addressing media access control (MAC) without feedback in Vehicular Ad-hoc Network (VANET). Global Navigation Satellite Systems (GNSS) based code allocation is a great solution. It tessellates the geographic region to be covered into regular hexagonal quantization cell. All users access to their location information at marked time instances through GNSS. The transmission sequences are pre-assigned to the location cells and then dynamically assigned to the users. It also proposed a concept of sequence reuse that is akin to frequency reuse. A drawback of GNSS-based code allocation is the average user throughput (AUT) is relatively low. Transmission sequence reconstruction and allocation (TSRA) based on GNSS-based code allocation is proposed. Firstly, in each superframe T, each user acquires user irrepressibility (UI) sequence according to GNSS-based mechanism in the first period to obtain the information of neighbors in the same cell cluster; users in different direction use half of the superframe T respectively. Secondly, users reconstruct a set of UI sequences according to the number of neighbors in the same cell cluster. Then, users acquire a reconstructed sequence according to the order of the users' first successful “1” in the first period. The performance of TSRA is compared with GNSS-based code allocation by ns-2 with the vehicle mobility data from the Simulation of Urban Mobility (SUMO). The simulation results show that the AUT of TSRA is better than GNSS-based code allocation in a relatively sparser distributed network.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116324632","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546400
Chuanxi Xing, Guofang Dong, Lingling Kong, T. Gao
For the research on the multipath characteristics of shallow water wideband signal, the methods of multi-path separation were explored. After the summary of all kinds of normal mode decomposition method and the combination with a new kind of non-linear signal processing transformation method Warping transformation, a new method of multi-path separation for shallow water wideband acoustic signal based on Warping transformation was proposed. With the transmitted signals limited on a time window and the received signal of the processing of pulse compression, the processed received signal had a processing of warping transform and time-frequency analysis, in this way, a method which has wide applicability and high precision on decomposition and information ex-traction of the normal mode was achieved. Finally, a conclusion was verified through a simulation, the new method can be used in the normal mode separation of the chirp transmitted signal with a certain length of time, and has a greater advantage compared with conventional Warping transform processing results. Meanwhile, the separation signals extracted were substantially identical with the original signal after inverse operation restore, which proved the accuracy of this method.
{"title":"Research on the methods of multipath separation for shallow water wideband signal based on warping transformation","authors":"Chuanxi Xing, Guofang Dong, Lingling Kong, T. Gao","doi":"10.1109/CITS.2016.7546400","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546400","url":null,"abstract":"For the research on the multipath characteristics of shallow water wideband signal, the methods of multi-path separation were explored. After the summary of all kinds of normal mode decomposition method and the combination with a new kind of non-linear signal processing transformation method Warping transformation, a new method of multi-path separation for shallow water wideband acoustic signal based on Warping transformation was proposed. With the transmitted signals limited on a time window and the received signal of the processing of pulse compression, the processed received signal had a processing of warping transform and time-frequency analysis, in this way, a method which has wide applicability and high precision on decomposition and information ex-traction of the normal mode was achieved. Finally, a conclusion was verified through a simulation, the new method can be used in the normal mode separation of the chirp transmitted signal with a certain length of time, and has a greater advantage compared with conventional Warping transform processing results. Meanwhile, the separation signals extracted were substantially identical with the original signal after inverse operation restore, which proved the accuracy of this method.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128704850","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546414
Yayun Wang, M. Peng, Kecheng Zhang
As an advanced paradigm, the cloud radio access network (C-RAN) promises high spectral efficiency (SE) and energy efficiency (EE). However, the capacity-constrained fronthaul has become a key performance bottleneck for C-RANs. Generally, the traditional SE and EE are utilized to evaluate radio transmit performances without considering fronthaul cost, which is always the major concern for operators. In this paper, an economical spectral efficiency (ESE) is proposed to jointly take traditional SE/EE and the impact of wired/wireless fronthaul into account. Aiming at maximizing ESE, a non-convex beamformer design problem with fronthaul capacity and transmit power constraints is formulated. To deal with this non-convexity, the primal problem is transformed to an equivalent problem, which is solved by the weighted minimum mean square error approach. Simulation results demonstrate that the proposed algorithm can significantly improve ESE, in which the impact of fronthaul on ESE is evaluated and analyzed as well.
{"title":"Economy-efficient resource allocation in cloud radio access networks with fronthaul capacity constraints","authors":"Yayun Wang, M. Peng, Kecheng Zhang","doi":"10.1109/CITS.2016.7546414","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546414","url":null,"abstract":"As an advanced paradigm, the cloud radio access network (C-RAN) promises high spectral efficiency (SE) and energy efficiency (EE). However, the capacity-constrained fronthaul has become a key performance bottleneck for C-RANs. Generally, the traditional SE and EE are utilized to evaluate radio transmit performances without considering fronthaul cost, which is always the major concern for operators. In this paper, an economical spectral efficiency (ESE) is proposed to jointly take traditional SE/EE and the impact of wired/wireless fronthaul into account. Aiming at maximizing ESE, a non-convex beamformer design problem with fronthaul capacity and transmit power constraints is formulated. To deal with this non-convexity, the primal problem is transformed to an equivalent problem, which is solved by the weighted minimum mean square error approach. Simulation results demonstrate that the proposed algorithm can significantly improve ESE, in which the impact of fronthaul on ESE is evaluated and analyzed as well.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126951160","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546405
Min Zhang, Yinlin Fu, K. Bennett, Teresa Wu
Variational Bayesian Gaussian Mixture Model is a popular clustering algorithm with a reliable performance. However, it is noted that the model fitting process takes long time, especially when dealing with large scale data, since it utilizes the whole dataset. To address this issue, in paper we propose a new algorithm termed a weighted VBGMM via Coreset. Specifically, a new coreset construction method is first proposed to sample the data which is used to fit the model. To evaluate the algorithm, two datasets are used: 1) six rat kidney images datasets 2) three human kidney images datasets. The results show that our proposed algorithm is much faster (~ 20 times) comparing to classic VBGMM while maintaining the similar performance on whole dataset.
{"title":"Computational efficient Variational Bayesian Gaussian Mixture Models via Coreset","authors":"Min Zhang, Yinlin Fu, K. Bennett, Teresa Wu","doi":"10.1109/CITS.2016.7546405","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546405","url":null,"abstract":"Variational Bayesian Gaussian Mixture Model is a popular clustering algorithm with a reliable performance. However, it is noted that the model fitting process takes long time, especially when dealing with large scale data, since it utilizes the whole dataset. To address this issue, in paper we propose a new algorithm termed a weighted VBGMM via Coreset. Specifically, a new coreset construction method is first proposed to sample the data which is used to fit the model. To evaluate the algorithm, two datasets are used: 1) six rat kidney images datasets 2) three human kidney images datasets. The results show that our proposed algorithm is much faster (~ 20 times) comparing to classic VBGMM while maintaining the similar performance on whole dataset.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130006497","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546458
Jiangfeng Yang, Chuanxi Xing, Yuebin Chen
The framework of the ScSPM (Spatial Pyramid matching method using Sparse Coding) model is concise, but a good performance in scene classification is achieved. However, its performance can not be significantly improved duo to the limited discriminative power of the SIFT descriptors. To address the problem, covariance matrices as region descriptors are introduced to incorporate with the SIFTs. For computing the distance between them, covariances are transformed to LECM features by matrix logarithm operation. Moreover, exponential weights are imposed on the pooled features to enhance the performance of linear kernel SVM. Experiments on the public datasets demonstrate that the performance of the ScSPM can be improved dramatically by combining the LECM features, and our model achieves the performance competitive with previous methods.
ScSPM (Spatial Pyramid matching method using Sparse Coding)模型框架简洁，但在场景分类方面取得了较好的效果。然而，由于SIFT描述子的判别能力有限，其性能并不能得到显著提高。为了解决这个问题，引入了协方差矩阵作为区域描述符来与sift结合。为了计算它们之间的距离，通过矩阵对数运算将协方差转换为LECM特征。此外，为了提高线性核支持向量机的性能，对池化特征施加指数权重。在公共数据集上的实验表明，结合LECM特征可以显著提高ScSPM的性能，并且我们的模型达到了与以前的方法相媲美的性能。
{"title":"Improving the ScSPM model with Log-Euclidean Covariance matrix for scene classification","authors":"Jiangfeng Yang, Chuanxi Xing, Yuebin Chen","doi":"10.1109/CITS.2016.7546458","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546458","url":null,"abstract":"The framework of the ScSPM (Spatial Pyramid matching method using Sparse Coding) model is concise, but a good performance in scene classification is achieved. However, its performance can not be significantly improved duo to the limited discriminative power of the SIFT descriptors. To address the problem, covariance matrices as region descriptors are introduced to incorporate with the SIFTs. For computing the distance between them, covariances are transformed to LECM features by matrix logarithm operation. Moreover, exponential weights are imposed on the pooled features to enhance the performance of linear kernel SVM. Experiments on the public datasets demonstrate that the performance of the ScSPM can be improved dramatically by combining the LECM features, and our model achieves the performance competitive with previous methods.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922675","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546438
Weilong Hu, Zan Li, Linlin Liang
With the increasing importance of radio spectrum in the national economy and safety, this paper develops a wide area and wide band radio spectrum monitoring system which uses sensor networks. The significant contribution of the paper is introducing wireless sensor networks into the design of the spectrum monitoring system. A spectrum monitoring oriented private network architecture is designed to realize the networked spectrum monitoring, and make the multi-node cooperation possible. So far, our system has covered the old and new campus of Xidian University, the forth telecom science institute, and other test regions, and continuously operated for two years. Under the monitoring band with 20MHz-8GHz, the system can achieve integrated comprehensive signal processing and intelligent analysis including signal detection, modulation recognition and location-tracking. The system solves the problems of spectrum monitoring and signal processing, which can be applied to spectrum monitoring in the complex electromagnetic environment.
{"title":"Wide area and wide band spectrum monitoring system based on sensor networks","authors":"Weilong Hu, Zan Li, Linlin Liang","doi":"10.1109/CITS.2016.7546438","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546438","url":null,"abstract":"With the increasing importance of radio spectrum in the national economy and safety, this paper develops a wide area and wide band radio spectrum monitoring system which uses sensor networks. The significant contribution of the paper is introducing wireless sensor networks into the design of the spectrum monitoring system. A spectrum monitoring oriented private network architecture is designed to realize the networked spectrum monitoring, and make the multi-node cooperation possible. So far, our system has covered the old and new campus of Xidian University, the forth telecom science institute, and other test regions, and continuously operated for two years. Under the monitoring band with 20MHz-8GHz, the system can achieve integrated comprehensive signal processing and intelligent analysis including signal detection, modulation recognition and location-tracking. The system solves the problems of spectrum monitoring and signal processing, which can be applied to spectrum monitoring in the complex electromagnetic environment.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129232545","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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