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FoVs correlation model for wireless multimedia sensor networks based on three-dimensional perception

Advances in Information Sciences and Service Sciences 2012年第3期4卷 27-34页

作者： Han, Chong Sun, Lijuan Xiao, Fu Guo, Jian Wang, Ruchuan College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing 210003 China

Wireless multimedia sensor networks have become the focus of research in a wide variety of areas in recent years. The camera sensor nodes observe the phenomenon at different locations in the field, and the spatially proximal cameras could have highly overlapped field of views (FoVs). Based on the three-dimensional sensing model of camera sensor node, a FoVs correlation model was proposed in this paper. Then, a grid-based and a relative position-based approach were respectively designed to calculate the correlation coefficient between two cameras. Simulation results and algorithm complexity analysis demonstrate that the relative position-based method has highly efficiency and nearly reduces two orders of magnitude of time complexity to the former.

关键词： Sensor nodes

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Delay constraint adaptive routing based on seed spray in opportunistic networks

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Journal of Computational Information Systems 2012年第12期8卷 5137-5148页

作者： Xu, Jia Wang, Ruchuan Sun, Lijuan College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technol. Min. of Edu. Jiangsu Prov. Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Laboratory for Computer Network and Information Integration Ministry of Education Southeast University Nanjing 211189 China State Key Lab. for Novel Software Technology Nanjing University Nanjing 210093 China

Opportunistic networks are sparse wireless networks which have no complete path from the source to the destination most of the time. Many applications require the support of delay constrained routing mechanism which can provide acceptable and resilient services in the challenged environments. We proposed Adaptive Seed Spray (ASS) to achieve the delay constraint with low cost in dynamic opportunistic networks. ASS will estimate the routing cost in source node, and use a small number of seed nodes to spray message copies in order to reduce redundant copies. Furthermore, ASS will make spray decisions in relay nodes which have the latest information of the networking conditions. Simulation results have shown that ASS has prominent superiority in routing cost and adaptability, and it is an efficient delay-bounded multi-copy routing protocol for opportunistic networks especially for dynamic conditions. © 2012 Binary Information Press.

关键词： Cost benefit analysis

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Driving Fatigue Detection Combining Face Features with Physiological Information 7

Driving Fatigue Detection Combining Face Features with Physi...

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7th IEEE International Conference on network Intelligence and Digital Content, IC-NIDC 2021

作者： Zeng, Lingqiu Wang, Yang Han, Qingwen Zhou, Kun Ye, Lei Long, Yang Chongqing University School of Computer Science Chongqing400044 China Research and Development Center of Transport Industry of Self-driving Technology Chongqing400000 China School OfMicroelectronics and Communication Engineering Chongqing University Chongqing400044 China Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion College of Mechanical and Vehicle Engineering Chongqing University Chongqing400044 China

ISBN: (纸本)9781665405829

Fatigue driving is one of the main reasons that cause sever accidents. It's necessary to detect fatigue state and warn drivers to avoid life-threatening accidents. There are many related technologies to detect fatigue, some of which based on physiological information or face features. However, biological indicators are difficult to analyze in real-time and the signal sensor is invasive while image-based approaches have relatively strong subjective. Hence, in this paper, a method combined physiological information and face features is employed. We use near-infrared spectroscopy (fNIRS) on behalf of physical states and eye and mouth condition representing face states. Firstly, Multi-Task Convolutional Neural network (MTCNN) was used to extract image features and then a lightly classifier was designed to recognize the state of face states. Finally, we use Long Short-Term Memory (LSTM) model to fuse these characters and predict fatigue. Experiment results show that the method proposed have a high accuracy about 95.8% and fast speed about 6.12ms to detect fatigue. © 2021 IEEE.

关键词： Long short-term memory

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T-QoS-aware based parallel ant colony algorithm for services composition

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Journal of Systems Science & Complexity 2015年第5期28卷 1100-1106页

作者： Lin Zhang Kaili Rao Ruchuan Wang College of Computer Nanjing University of Posts and Telecommunications Institute of Computer Technology Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology Nangjing University of Posts and Telecommunications

In order to make cloud users get credible, high-quality composition of services, the trust quality of service aware(TQoS-aware) based parallel ant colony algorithm is proposed. Our approach takes the service credibility as the weight of the quality of service, then calculates the trust service quality T-QoS for each service, making the service composition situated in a credible environment. Through the establishment on a per-service T-QoS initialization pheromone matrix, we can reduce the colony's initial search time. By modifying the pheromone updating rules and introducing two ant colonies to search from different angles in parallel,we can avoid falling into the local optimal solution, and quickly find the optimal combination of global solutions. Experiments show that our approach can combine high-quality services and the improvement of the operational success rate. Also, the convergence rate and the accuracy of optimal combination are improved.

关键词： services composition trust service quality ant colonyalgorithm parallel

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Research on feature selection algorithm based on mutual information and genetic algorithm

Research on feature selection algorithm based on mutual info...

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International Conference on Wavelet Active Media technology and Information Processing (ICWAMTIP)

作者： Pan-Shi Tang Xiao-Long Tang Zhong-Yu Tao Jian-Ping Li School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Chongqing Key Lab of Computer Network and Communication Technology

ISBN: (纸本)9781479972098

The wide application of Internet technology and media technology produces more and more data which also leads the arrival of the era of big data. However, it is difficult to extract the needed information from the original data directly except some special conditions. In recent years, the development of machine learning which provide a effective way to solve this problem for us. You can obtain lower rate of Miscalculate when you select a reasonable feature selection algorithm under the premise of not increasing the complexity of algorithm. At present it is divided into two categories named the Filter and Wrapper feature selection algorithm in the field of machine learning. This paper considers both the advantages and disadvantages of these two feature selection algorithm and studies the combined feature selection algorithm.

关键词： Classification algorithms Machine learning algorithms Filtering algorithms Algorithm design and analysis Genetic algorithms Mutual information Accuracy

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Differential space-time block coding based cooperative spectrum sensing over fading environments in cognitive radio sensor networks

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Journal of Information and Computational Science 2012年第15期9卷 4599-4606页

作者： Chen, Zhi Yue, Wenjing College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China

Incorporating cognitive radio capability in recource-constrainted multihop wireless sensor networks may help realize the deployment of multiple overlaid sensor networks, and eliminate collision and excessive contention delay incurred by dense node deployment. One of the main requirements of cognitive radio sensor networks is the ability to detect the presence of the primary user with fast speed and high accuracy in wireless environments. Cooperative spectrum sensing emerges as a promising candidate to meet these requirements. In practice, however, since the local sensing observations are forwarded to a sink through fading channels, the sensing performance of cooperative spectrum sensing is deteriorated due to the reporting errors introduced by the fading channels. To deal with this limitation, we propose a differential space-time block coding based cooperative spectrum sensing scheme to improve the sensing performance by decreasing the probability of reporting error. The sensing performance is also derived. Numerical results verify that better sensing performance can be achieved in proposed scheme compared to the conventional cooperative spectrum sensing. © 2012 by Binary Information Press.

关键词： Cognitive radio

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A fast covariance matrix reconstruction method for two-dimensional direction-of-arrival estimation

A fast covariance matrix reconstruction method for two-dimen...

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2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017

作者： Wu, Xiaohuan Zhu, Wei-Ping Yan, Jun Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China Department of Electrical and Computer Engineering Concordia University Montreal Canada

ISBN: (纸本)9781509041176

In this paper, a new method for two-dimensional (2-D) direction-of-arrival (DOA) estimation is proposed. We first reconstruct the covariance matrix of the coarray with block-Toeplitz structure and then retrieve the DOAs. Our method is computationally efficient as supported by the derived closed-form expression for the estimated covariance matrix. Unlike other methods, which require fully loaded arrays, the proposed method can be applied in the case of common rectangular arrays with arbitrary geometries. The estimated azimuth and elevation angles are automatically paired. Moreover, our method is of high estimation accuracy and immune to the angle ambiguity effect. Numerical simulations are carried out to verify the effectiveness of the proposed method. © 2017 IEEE.

关键词： 2-D DOA estimation generalized rectangular array (GRA) Toeplitz-block-Toeplitz structure

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Multi-sample clustering decision fusion for distributed target detection in wireless sensor networks

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Journal of China Universities of Posts and Telecommunications 2012年第SUPPL. 2期19卷 42-46+127页

作者： Chen, Lei Huang, Hai-Ping Wang, Ru-Chuan Qin, Xiao-Lin Wang, Qian-Yi College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

In this paper, we revisit the problem of target detection in wireless sensor networks (WSNs). Because that the practical environment of WSNs is very complex, and usually the target signal is mixed with a lot of random noises, the phenomenon impacts the performance of target detection experiment. This paper set forth a new way to improve the system performance. We introduce gather multiple sample when we get the observation signals. After obtaining the samples, we calculate the judgments of each sensor by fusion rule. At last local sensors transfer their judgments to the fusion center. We prove that the method is better than single sample through Monte Carlo experiments because of the full use of the observation signals. © 2012 The Journal of China Universities of Posts and Telecommunications.

关键词： Wireless sensor networks

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Risk-aware vertical handoff algorithm for security access support in heterogeneous wireless networks

Risk-aware vertical handoff algorithm for security access su...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Bin Ma Xiaofeng Liao Xianzhong Xie College of Computer Science Chongqing University Chongqing China Chongqing Key Laboratory of Computer Network and Communication Technology Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (纸本)9781467311830

More intelligent vertical handoff (VHO) algorithms which consider user profiles, application requirements, and network conditions must be investigated in order to provide enhanced performance results for user terminal. Moreover, access risk seems to be the strongest requirement of deployment options for next generation wireless networks; therefore, risk conditions gains a significant attention in our research work. In this paper, a cloud model based vertical handoff algorithm is introduced for heterogeneous wireless networks. The parameters: received signal strength (RSS), cost, quality and mobile speed are considered as inputs of the proposed cloud model based system in order to decide handoff initialization process and select the best satisfaction candidate access point. Also, in contrast to the traditional fuzzy logic based VHO algorithms, the method proposed takes ambient access risk level, which is referred to as risk parameter, as another input to the cloud model based cloud inference system. The evaluation results show that the satisfaction degree of handoff is assured for user, and the performance of security is significantly enhanced for mobile terminal by the algorithm proposed.

关键词： cloud model heterogeneous wireless network vertical handoff security access

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Risk prediction model based on improved AdaBoost method for cloud users

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Open Cybernetics and Systemics Journal 2015年第1期9卷 44-49页

作者： Zhang, Lin Rao, Kaili Wang, Ruchuan Jia, Yishang College of Computer Nanjing University of Posts and Telecommunications Nanjing210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks NanjingJiangsu Province210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nangjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nangjing210003 China

Considering the problem how to protect the cloud services from being destroyed by cloud users, the riskprediction model based on improved AdaBoost method is proposed. The risk prediction is regarded as two-class classification problem, and the risk of new cloud users could be predicted by the attributes of historical cloud users. In order to improve the result of predicted, AdaBoost method is adopted in this paper. The error rate of the last training is used to adjust the sample distribution of the next training, which can make the next training have stronger ability of identification for the error-classified samples. At the same time the weight of each weak classifier is set. After all, the strong classifier is generated by combined the weak classifiers through voting, which can improve the overall result of classification. Considering the wrongly-predicted cost, AdaBoost method is improved. The method of cost-sensitive is added into the model in order to minimal the misclassified-cost. Experiments show that the cost-sensitive AdaBoost method has better classification result than the traditional ones and it can predict the risk of the new cloud user effectively and protect the security of the cloud services. © Zhang et al.

关键词： Adaptive boosting

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