2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems最新文献_第4页

TBoPS: A Tree Based Distributed Beacon Only Period Scheduling Mechanism for IEEE 802.15.4 tops: IEEE 802.15.4基于树的分布式仅信标周期调度机制

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.43

B. Nefzi, D. Khan, Yeqiong Song

引用次数: 13

Demonstrating Real-Time Reconfiguration of Video Sensing Service-Oriented Applications 演示视频传感面向服务应用的实时重构

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.59

P. Silva, Luís Silva, R. Marau, L. Almeida

引用次数: 1

Contiki Ring File System for Real-Time Applications 用于实时应用的Contiki环文件系统

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.57

S. Schildt, Wolf-Bastian Pöttner, L. Wolf

引用次数: 4

Efficient Mobile Data Collection with Mobile Collect 高效的移动数据收集与移动收集

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.12

Navid Hassanzadeh, O. Landsiedel, Frederik Hermans, Olof Rensfelt, T. Voigt

引用次数: 9

The Design and Implement of Acoustic Array Sensor Network Platform for Online Multi-target Tracking 多目标在线跟踪声阵列传感器网络平台的设计与实现

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.45

Yuanshi Li, Zhi Wang, Shuguo Zhuo, Jie Shen, Shengsheng Cai, Ming Bao, Dahang Feng

引用次数: 5

An Adaptive Redundancy-Based Mechanism for Fast and Reliable Data Collection in WSNs 基于自适应冗余的无线传感器网络快速可靠数据采集机制

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.36

Celimuge Wu, S. Ohzahata, Toshihiko Kato

引用次数: 7

Adaptive Synchronization Control with Multi-level Buffer in Wireless Multimedia Sensor Networks 无线多媒体传感器网络中多级缓冲区自适应同步控制

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.25

Guotao Zhao, Huadong Ma, Y. Sun, Hong Luo, Liang Liu

{"title":"Adaptive Synchronization Control with Multi-level Buffer in Wireless Multimedia Sensor Networks","authors":"Guotao Zhao, Huadong Ma, Y. Sun, Hong Luo, Liang Liu","doi":"10.1109/DCOSS.2012.25","DOIUrl":"https://doi.org/10.1109/DCOSS.2012.25","url":null,"abstract":"In Wireless Multimedia Sensor Networks (WMSNs), data fusion and collaborative in-network processing operations often require effective multimedia synchronization control. Extensive researches have been done in the traditional networks. Most of these works assume that there exists a powerful synchronization controller in the network. However, for WMSNs, the in-network processing of the multimedia content is usually performed based on the resource-constrained sensors. Traditional synchronization control algorithms fail to run on the low-end hardware platform. In this paper, we propose an adaptive synchronization control scheme with multi-level buffer to address this problem. Main contributions of this paper are as follows. (i) To overcome the resource constraint of WMSNs, we perform the synchronization control in a distributed way by combining the sensors in the stream transmission path. (ii) By evaluating the current network state, we adjust the level number of the buffer adaptively to balance the delay and delay jitter. (iii) Through analyzing the buffer state of each level, we propose an efficient packet scheduling scheme to reduce the delay jitter actively. (iv) We implement the proposed scheme and verify its effectiveness in our practical WMSNs platform. The experiment results show that the proposed scheme can maintain the streams synchronization effectively with the low-end sensors.","PeriodicalId":448418,"journal":{"name":"2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems","volume":"797 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123911637","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: 0

Mobility Management in WSNs Using Fuzzy Logic: An Industrial Application Scenario 基于模糊逻辑的无线传感器网络移动性管理:一个工业应用场景

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.51

Z. Zinonos, C. Chrysostomou, V. Vassiliou

引用次数: 3

Fuzzy Inference Based Delay and Channel Aware Communication in Low-Power Sensor Networks 基于模糊推理的低功耗传感器网络延迟与信道感知通信

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.56

J. Singh, D. Pesch

{"title":"Fuzzy Inference Based Delay and Channel Aware Communication in Low-Power Sensor Networks","authors":"J. Singh, D. Pesch","doi":"10.1109/DCOSS.2012.56","DOIUrl":"https://doi.org/10.1109/DCOSS.2012.56","url":null,"abstract":"Traditionally, transmission power is adjusted dynamically to overcome unreliability over lossy links in energy-constrained Wireless Sensor Networks (WSNs). The network node increases its transmission power to achieve immunity against link errors or lowers the power to save energy and prevent interference. Through systematic analysis, we illuminate that it adversely affects the channel contention, network throughput and energy consumption at network scale. Therefore, we implement a novel but effective Fuzzy Inference based Delay and Channel aware Communication (FI-DACC) mechanism at WSN nodes which employs lightweight Forward Error Correction (FEC) codes at low transmission power. Besides selecting an adequate FEC code, the proposed strategy also tunes MAC layer back off duration to prevent packet collisions. To simplify the decision process, a cascaded structure of two fuzzy logic controllers is formulated that undertakes heterogeneous parameters into account. We integrate our solution into IEEE802.15.4 based energy constrained WSN scenarios and evaluate the scheme from real-time packet delivery viewpoint. Results indicate that the proposed approach enhances network real-time capacity with low energy overheads as compared to alternative schemes, for e.g. Real-time Power Routing (RPAR), adaptive power control, hybrid, Interference-aware Transmission Power Control (I-TPC) [4].","PeriodicalId":448418,"journal":{"name":"2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240632","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: 3

6LoWPAN Compressed DTLS for CoAP

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.55

S. Raza, Daniele Trabalza, T. Voigt

引用次数: 172