2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery最新文献

An Incremental BP Neural Network Based Spurious Message Filter for VANET 基于增量BP神经网络的VANET伪消息滤波

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.67

Jiyu Zhang, Liusheng Huang, Hongli Xu, Mingjun Xiao, W. Guo

{"title":"An Incremental BP Neural Network Based Spurious Message Filter for VANET","authors":"Jiyu Zhang, Liusheng Huang, Hongli Xu, Mingjun Xiao, W. Guo","doi":"10.1109/CyberC.2012.67","DOIUrl":"https://doi.org/10.1109/CyberC.2012.67","url":null,"abstract":"In order to protect legitimate vehicles from cheating by spurious alert messages, we propose a general filter model for Vehicular Ad-hoc Network (VANET) to distinguish spurious messages from valid ones. It is a two-layer filter, the coarse filter is responsible for rapid filtration and the fine filter is for accurate filtration. The data flow should pass through them to get the classification results. The coarse filter makes a judgment by combining several sources of information such as timeliness of the report and correlation of the accident location while the fine filter is based on Back Propagation Neural Network (BPNN) which includes an incremental learning part. The BPNN module refers to vehicles' reputations and behaviors in response to an event, and the support from neighbors will also be a great help. In this paper, we compare the filtering effect of incremental BPNN with several commonly used decision logics including majority voting, weighted voting and Bayesian method. The simulation results show that our scheme performs better both in filtering reliability and stability.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126092004","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}

引用次数: 11

A New Approach to Implement Discrete Wavelet Transform on Coarse-Grained Reconfigurable Architecture 在粗粒度可重构结构上实现离散小波变换的新方法

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.56

Jie Li, Xinxiang Ke, Peng Cao, Weiwei Shan

引用次数: 2

A Workload-Aware Link Scheduling for Heterogeneous Wireless Sensor Networks 异构无线传感器网络的负载感知链路调度

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.66

Bo Zeng, Yabo Dong, Zhidan Liu, Dongming Lu

{"title":"A Workload-Aware Link Scheduling for Heterogeneous Wireless Sensor Networks","authors":"Bo Zeng, Yabo Dong, Zhidan Liu, Dongming Lu","doi":"10.1109/CyberC.2012.66","DOIUrl":"https://doi.org/10.1109/CyberC.2012.66","url":null,"abstract":"We focus on the problem of links scheduling in heterogeneous wireless sensor networks. Links scheduling becomes more difficult due to the diversity of workload among sensor nodes. An improper links scheduling strategy will lead to high end-to-end delay and then diminish the data availability. We assume the energy cost of state transition cannot be ignored, especially for wireless multimedia sensor node which equips with camera and higher performance processor compared to scalar sensor node. In this paper, we use the conflict graph to model the conflicts among nodes and then propose a workload-aware heuristic scheduling algorithm. In the scheduling, each node can obtain consecutive time-slots to transmit all data at a schedule transmission, and the number of time-slots is calculated based on nodeâs workload. Hence, it is possible for our scheduling to reduce the end-to-end delay and save energy consumed by nodeâs state-switching in heterogeneous wireless sensor networks. In additional, a metric is proposed to measure the frequency of nodeâs state-switching. The numerical results show that our scheduling can reduce the end-to-end delay and meanwhile improve energy efficiency by reducing the energy cost of state-switches.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123639086","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}

引用次数: 2

Lattice Sphere Decoding Technique Assisted Optimum Detection for Block Data Transmission Systems 点阵球解码技术辅助分组数据传输系统的最优检测

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.75

M. Albreem, M. Salleh

引用次数: 3

Worm Propagation Model for Heterogeneous Network 异构网络中的蠕虫传播模型

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.32

Lidong Zhai, Wei Guo, Zhaopeng Jia, Li Guo, Jinqiao Shi

引用次数: 3

Sparse Watermark Embedding and Recovery Using Compressed Sensing Framework for Audio Signals 基于压缩感知框架的音频信号稀疏水印嵌入与恢复

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.99

M. Fakhr

引用次数: 5

A Self-Monitoring, Adaptive and Resource Efficient Approach for Improving QoS in Wireless Sensor Networks 一种自监测、自适应和资源高效的无线传感器网络QoS改进方法

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.72

D. Hamdan, O. Aktouf, I. Parissis, B. El-Hassan, Abbas Hijazi, Bassam Moslem

{"title":"A Self-Monitoring, Adaptive and Resource Efficient Approach for Improving QoS in Wireless Sensor Networks","authors":"D. Hamdan, O. Aktouf, I. Parissis, B. El-Hassan, Abbas Hijazi, Bassam Moslem","doi":"10.1109/CyberC.2012.72","DOIUrl":"https://doi.org/10.1109/CyberC.2012.72","url":null,"abstract":"In Wireless Sensor Networks (WSNs), performance and reliability depend on the fault tolerance scheme used in the system. Fault diagnosis is an important part of fault tolerance. An effective diagnosis tool helps network administrators clearly monitor, manage, and troubleshoot the performance of the network. However, the design of online fault diagnosis is crucial in WSNs since many faults can easily happen and propagate. Besides, fault diagnosis put extra burden on the sensor node and it will also consume extra resources of the sensor nodes. Thus, in order to guarantee the network quality of service, it is essential for WSNs to be able to diagnosis faults efficiently. In this paper, we propose an adaptive and efficient approach for fault diagnosis in WSN called (SMART). SMART is a layer independent fault diagnosis service for WSNs. The presented service focuses on diagnosis two types of failures that are likely to happen in WSN deployments which are the node failure due to energy depletion, and the link failure due to poor connectivity with neighbors. From the design view, SMART provides to the application many tunable parameters that make it suitable for various deployment needs: energy-robustness-detection latency tradeoffs, tolerable packet loss, reports frequency etc. Simulation results prove that SMART is resource efficient while providing satisfactory detection and diagnosis accuracy.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115382606","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}

引用次数: 4

The Converged Service Oriented Architecture in Smart Home Service 智能家居服务中面向服务的融合架构

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.47

Sining Ma, X. Chen, Guicai Song, Juan Wang, Limin Sun, Jia Yan

引用次数: 7

A Framework for P2P Botnet Detection Using SVM 基于SVM的P2P僵尸网络检测框架

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.40

Pijush Barthakur, M. Dahal, M. Ghose

引用次数: 34

The Domain Decomposition Method in Land Surface Model 陆面模型中的域分解方法

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.98

Jianhui Shi, Wenbo Zhou, Y. Liu

引用次数: 0