Pub Date : 2017-11-01DOI: 10.1109/ICAIT.2017.8388908
Lulu Ru, Linghua Zhang
In wireless sensor networks, one of the core problems is the realization of positioning. In order to solve the issue of traditional centroid localization algorithm's localization accuracy, a weighted centroid of mass algorithm based on weight correction is proposed in this paper. Firstly, this improved algorithm converts the RSSI data received by unknown nodes into distance, then calculate the negative square of distance ratio as a mend weight. Finally, use the modified weight to further improving the positioning precision. The simulation results indicate that the proposed weighted centroid algorithm can greatly improve the accuracy of positioning and reduce the error of positioning.
{"title":"A weighted centroid localization algorithm for wireless sensor networks based on weight correction","authors":"Lulu Ru, Linghua Zhang","doi":"10.1109/ICAIT.2017.8388908","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388908","url":null,"abstract":"In wireless sensor networks, one of the core problems is the realization of positioning. In order to solve the issue of traditional centroid localization algorithm's localization accuracy, a weighted centroid of mass algorithm based on weight correction is proposed in this paper. Firstly, this improved algorithm converts the RSSI data received by unknown nodes into distance, then calculate the negative square of distance ratio as a mend weight. Finally, use the modified weight to further improving the positioning precision. The simulation results indicate that the proposed weighted centroid algorithm can greatly improve the accuracy of positioning and reduce the error of positioning.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128299188","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388917
Yang Qiao, Zhicheng Xia, X. Hong, J. Shen
This paper proposes a Visible Light Communication (VLC) based vehicle collision avoidance scheme for curve lane situations by theoretical analysis and numerical calculation. A VLC terminal is introduced to release warning information among vehicles on both sides of the curve which realizes bilateral communications. The experimental result shows that the scheme can reduce the risk of possible collisions effectively.
{"title":"A visible light communication based vehicle collision avoidance scheme for curve lane situations","authors":"Yang Qiao, Zhicheng Xia, X. Hong, J. Shen","doi":"10.1109/ICAIT.2017.8388917","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388917","url":null,"abstract":"This paper proposes a Visible Light Communication (VLC) based vehicle collision avoidance scheme for curve lane situations by theoretical analysis and numerical calculation. A VLC terminal is introduced to release warning information among vehicles on both sides of the curve which realizes bilateral communications. The experimental result shows that the scheme can reduce the risk of possible collisions effectively.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114783926","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388946
Xiang Wang, S. Leng, Xiru Liu, Quanxin Zhao, Kezhi Wang, Kun Yang
Multi-view video (MVV) consists of multiple video streams captured simultaneously by multiple closely spaced cameras, and it enables users to freely change their viewpoints by playing different video streams. However, the network transmission delay of multiple video streams from certain video sources to the base station via the core network are different, which results in the asynchronous among the video streams when users switch streams. It tremendously degrades user Quality of Experience (QoE). Considering the social characteristics of MVV users in terms of spatially clustering and the similarity of interests on MVV streams, we introduce the edge caching technology in fog computing into the application of MVV in mobile social networks (MSNs), with which the MVV streams can be synchronized with the assistance of edge caching among local users. Besides, we model the spatial distribution of edge caching users to calculate their capability of edge caching and D2D communication, as well as the coverage probability and Ergodic rate of the multicast groups. Moreover, the edge caching user selection is formulated as an optimization problem to maximize the system throughput, and a greedy based edge caching algorithm is proposed to find the suboptimal solution. Simulation results indicate that the proposed edge caching scheme can significantly increase the QoE of MVV and the system throughput.
{"title":"Fog computing aided multi-view video in mobile social networks","authors":"Xiang Wang, S. Leng, Xiru Liu, Quanxin Zhao, Kezhi Wang, Kun Yang","doi":"10.1109/ICAIT.2017.8388946","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388946","url":null,"abstract":"Multi-view video (MVV) consists of multiple video streams captured simultaneously by multiple closely spaced cameras, and it enables users to freely change their viewpoints by playing different video streams. However, the network transmission delay of multiple video streams from certain video sources to the base station via the core network are different, which results in the asynchronous among the video streams when users switch streams. It tremendously degrades user Quality of Experience (QoE). Considering the social characteristics of MVV users in terms of spatially clustering and the similarity of interests on MVV streams, we introduce the edge caching technology in fog computing into the application of MVV in mobile social networks (MSNs), with which the MVV streams can be synchronized with the assistance of edge caching among local users. Besides, we model the spatial distribution of edge caching users to calculate their capability of edge caching and D2D communication, as well as the coverage probability and Ergodic rate of the multicast groups. Moreover, the edge caching user selection is formulated as an optimization problem to maximize the system throughput, and a greedy based edge caching algorithm is proposed to find the suboptimal solution. Simulation results indicate that the proposed edge caching scheme can significantly increase the QoE of MVV and the system throughput.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124176511","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388931
Shengwei Lyu, Xiaohan Guan
For large-scale multiple-input multiple-output (MIMO) systems, the near-optimal algorithm of minimum mean square error (MMSE) method is widely used for uplink signal detection, but the matrix inversion process leads to high computational complexity. In this paper, a low-complexity signal detection algorithm based on biconjugate gradient stabilized (BiCGSTAB) method is proposed. A special property of the MMSE filtering matrix indicates the appropriateness of this algorithm and the computational complexity analysis shows that this method is capable to reduce the complexity from O(K3) to O(K2) and can be easier to implement on FPGA. Finally, simulation result verifies the advantage of BiCGSTAB algorithm over other stationary iterative algorithms.
{"title":"Low-complexity MMSE signal detection algorithm based on BiCGSTAB method for uplink massive MIMO systems","authors":"Shengwei Lyu, Xiaohan Guan","doi":"10.1109/ICAIT.2017.8388931","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388931","url":null,"abstract":"For large-scale multiple-input multiple-output (MIMO) systems, the near-optimal algorithm of minimum mean square error (MMSE) method is widely used for uplink signal detection, but the matrix inversion process leads to high computational complexity. In this paper, a low-complexity signal detection algorithm based on biconjugate gradient stabilized (BiCGSTAB) method is proposed. A special property of the MMSE filtering matrix indicates the appropriateness of this algorithm and the computational complexity analysis shows that this method is capable to reduce the complexity from O(K3) to O(K2) and can be easier to implement on FPGA. Finally, simulation result verifies the advantage of BiCGSTAB algorithm over other stationary iterative algorithms.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127949179","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388911
M. Li, Ping Wang, Chao Wang, Fuqiang Liu
In this paper, we study a cross-layer transmission design problem in a class of multi-user wireless network. We consider the case that two independent information sources both desire to send two types of delay-sensitive message to a common destination. One type is generated periodically, and is expected to be delivered with sufficient transmission reliability. The other type is generated randomly, and is expected to have finite transmission delay. Utilizing the Lyapunov optimization theory, we design a transmission strategy to achieve high energy efficiency based on both imperfect channel state information (CSI) at the physical layer and queue state information (QSI) at the Media Access Control layer. Simulation results show that the performance of the proposed strategy can be balanced through tuning optimization parameters. The capability of being adaptive to both CSI and QSI also permits the proposed method to outperform the transmission design based on only CSI.
{"title":"Energy efficient cross-layer transmission design for two-user wireless systems with imperfect channel state information","authors":"M. Li, Ping Wang, Chao Wang, Fuqiang Liu","doi":"10.1109/ICAIT.2017.8388911","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388911","url":null,"abstract":"In this paper, we study a cross-layer transmission design problem in a class of multi-user wireless network. We consider the case that two independent information sources both desire to send two types of delay-sensitive message to a common destination. One type is generated periodically, and is expected to be delivered with sufficient transmission reliability. The other type is generated randomly, and is expected to have finite transmission delay. Utilizing the Lyapunov optimization theory, we design a transmission strategy to achieve high energy efficiency based on both imperfect channel state information (CSI) at the physical layer and queue state information (QSI) at the Media Access Control layer. Simulation results show that the performance of the proposed strategy can be balanced through tuning optimization parameters. The capability of being adaptive to both CSI and QSI also permits the proposed method to outperform the transmission design based on only CSI.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128106278","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388918
Tingting Cheng, Minglun Zhang
In this paper, we report an indoor Li-Fi system operating at 18.9 Mbps by employing access authentication technology and collision avoidance technology. Experiments show that the system maintains high throughput and low bit error rate at different distances, angles, and PHY bit rates. Based on existing ubiquitous lighting devices, the Li-Fi system helps solve the problem of spectrum shortage in wireless communications conveniently.
{"title":"Design and measurement of an indoor Li-Fi system based on 802.3 protocol","authors":"Tingting Cheng, Minglun Zhang","doi":"10.1109/ICAIT.2017.8388918","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388918","url":null,"abstract":"In this paper, we report an indoor Li-Fi system operating at 18.9 Mbps by employing access authentication technology and collision avoidance technology. Experiments show that the system maintains high throughput and low bit error rate at different distances, angles, and PHY bit rates. Based on existing ubiquitous lighting devices, the Li-Fi system helps solve the problem of spectrum shortage in wireless communications conveniently.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129947196","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388916
Yu Zuo, Jian Zhang, Yanyu Zhang
Visible light communication (VLC) system provides an opportunity for data transmission and its traditional use as source of illumination. Besides, dimming control is also required to achieve variable levels in some specific circumstances. Among the various modulation schemes to achieve dimming control, multiple pulse-position-modulation (MPPM) is regarded as a more spectral-efficient and energy-saving method. In this paper, we proposed the Fast Detection Algorithm for MPPM based on maximum likelihood (ML) principle, which is suitable for fast dimmable indoor VLC system. Thus, the information about transmitted data and dimming factor can be acquired instantly. Finally, error performances are provided with difference dimming levels via MATLAB simulation.
{"title":"The fast detection algorithm suitable for fast dimmable indoor visible light communication system","authors":"Yu Zuo, Jian Zhang, Yanyu Zhang","doi":"10.1109/ICAIT.2017.8388916","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388916","url":null,"abstract":"Visible light communication (VLC) system provides an opportunity for data transmission and its traditional use as source of illumination. Besides, dimming control is also required to achieve variable levels in some specific circumstances. Among the various modulation schemes to achieve dimming control, multiple pulse-position-modulation (MPPM) is regarded as a more spectral-efficient and energy-saving method. In this paper, we proposed the Fast Detection Algorithm for MPPM based on maximum likelihood (ML) principle, which is suitable for fast dimmable indoor VLC system. Thus, the information about transmitted data and dimming factor can be acquired instantly. Finally, error performances are provided with difference dimming levels via MATLAB simulation.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125808871","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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