2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)最新文献_第4页

Load balanced routing with constant stretch for wireless sensor network with holes 带孔无线传感器网络的恒拉伸负载均衡路由

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827667

Phi-Le Nguyen, Duc-Trong Nguyen, Khanh-Van Nguyen

{"title":"Load balanced routing with constant stretch for wireless sensor network with holes","authors":"Phi-Le Nguyen, Duc-Trong Nguyen, Khanh-Van Nguyen","doi":"10.1109/ISSNIP.2014.6827667","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827667","url":null,"abstract":"Because of its simplicity and scalability, geographic routing is a popular approach in wireless sensor networks, which can achieve a near-optimal routing path in the networks without of holes. With the occurrence of holes, however, geographic routing faces the problems of hole diffusion and routing path enlargement. Several recent proposals attempt to fix these issues by deploying a special, forbidding area around the hole, which helps to improve the congestion on the hole boundary but still causes significant load imbalancing due to static detour routes bypassing this fixed forbidding area. Also, a significant enlargement on routing path is still possible due to the possibly significant difference between this forbidding area and the hole. Another recent approach can achieve a low route stretch (constant bounded) but still, the load imbalancing due to the holes is a concern. In this paper, we introduce a novel approach which is the first to target and solve both these two problems of hole diffusion and path enlargement. Our theoretical analysis proves the constant stretch property and our simulation experiments show that our scheme strongly outperforms the existing schemes in several performance factors, including route stretch, efficient use of energy and load balancing.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115526587","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: 8

Development of silicon photonics dual disks resonators as chemical sensors 化学传感器用硅光子双盘谐振器的研制

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827697

Bo Li, C. Ho, Chengkuo Lee

引用次数: 0

DOLLY: An experimental evaluation of distributed node positioning framework in wireless sensor networks 无线传感器网络中分布式节点定位框架的实验评估

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827659

P. Kristalina, Wirawan, G. Hendrantoro

引用次数: 7

OpenFlow based hybrid routing in Wireless Sensor Networks 基于OpenFlow的无线传感器网络混合路由

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827650

Arak Sae Yuan, Hsiang-Ting Fang, Quincy Wu

{"title":"OpenFlow based hybrid routing in Wireless Sensor Networks","authors":"Arak Sae Yuan, Hsiang-Ting Fang, Quincy Wu","doi":"10.1109/ISSNIP.2014.6827650","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827650","url":null,"abstract":"Wireless Sensor Networks (WSNs) have been widely deployed in many fields and commonly adopted in many applications. There are several routing protocols for WSNs, such as Ad hoc On-Demand Distance Vector Routing (AODV) and Sensor Protocols for Information via Negotiation (SPIN). However, one major problem of these routing protocols is that they cannot provide a global view for network topologies, as they run in a distributed way. Moreover, for a distributed routing algorithm, troubleshooting always takes lots of time because the administrators must collect the routing information from individual routing nodes. OpenFlow is an emerging technology which makes network elements (such as routers or switches) programmable via a standardized interface. With OpenFlow, novel routing algorithms can be quickly deployed. In this paper, we proposed a new routing approach that integrates OpenFlow with link-state routing in WSNs. The approach allows administrators to maintain a global view on each routing path, as well as simplifies the procedure of network provisioning and troubleshooting.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127729088","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: 13

Tracking of multiple people in crowds using laser range scanners 使用激光测距扫描仪跟踪人群中的多人

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827668

Ladji Adiaviakoye, P. Plainchault, Marc Bolircene, J. Auberlet

引用次数: 9

Model Reference Adaptive Neural Control for nonlinear systems based on Back-Propagation and Extreme Learning Machine 基于反向传播和极限学习机的非线性系统模型参考自适应神经控制

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827703

Hai-Jun Rong, Rong-Jing Bao, Guangshe Zhao

{"title":"Model Reference Adaptive Neural Control for nonlinear systems based on Back-Propagation and Extreme Learning Machine","authors":"Hai-Jun Rong, Rong-Jing Bao, Guangshe Zhao","doi":"10.1109/ISSNIP.2014.6827703","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827703","url":null,"abstract":"In this paper, a Model Reference Adaptive Neural Control (MRANC) that uses both off-line and online learning strategies and Single Hidden Layer Feedforward Networks (SLFNs) is proposed for a class of nonlinear systems. In the proposed scheme, one SLFN is used as the identifier to identify the unknown nonlinear system and then the other SLFN is used as the controller to construct the control law based on the information of the identified model. The neural-network parameters of the NNI and NNC are adapted off-line. The off-line trained neural controller ensures the stability and provides the necessary tracking performance. If there is a change in the system dynamics or characteristics, the trained neural identifier and controller are also adapted online for providing the appropriate control input to maintain the system's satisfactory tracking performance. Different from the existing technology where the Back-Propagation (BP) is employed to train the two SLFNs, the identifier is trained using a fast neural algorithm developed recently, namely Extreme Learning Machine (ELM) while the controller is trained using the Dynamic BP method. Simulation results show that the proposed approach has faster learning speed and higher tracking performance than the existing method.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133882667","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

Geometry-based algorithms for device-free localization with wireless sensor networks 基于几何的无线传感器网络无设备定位算法

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827625

M. Talampas, K. Low

引用次数: 5

Homecare gait parameter collection 居家护理步态参数采集

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827623

Wann-Yun Shieh, Diana Guu

{"title":"Homecare gait parameter collection","authors":"Wann-Yun Shieh, Diana Guu","doi":"10.1109/ISSNIP.2014.6827623","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827623","url":null,"abstract":"The process of walking or running is called the \"gait\". In clinical research, gait detection can be used to investigate the features of normal or abnormal gait for demonstrating a change from treatment or from disease progression. In the past, many optical-based gait detection approaches have been proposed. In these approaches, we have to paste many reflective markers on the subject's limbs and use multiple cameras from different directions to take the images of walking. They can provide high accuracy measurements for gait detection, but they also need very expensive optical equipment. Also, the experiments are restricted to the laboratory environment, which means that the collection of gait data will be limited in a short distance or a short time interval. In this paper we will propose a portable design, which uses dual accelerometers pasted on a subject's left and right waist to do the gait detection at any time, any place. Particularly, we will apply the wireless communication to develop a gateway, as well as its Apps on the smart phone, to collect sensing data. The data collected from the sensors can be uploaded to the remote cloud for many homecare telemedicine applications.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115402026","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

Stress sensing based on one dimensional photonic crystal nano beam 基于一维光子晶体纳米束的应力传感

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827615

F. Hsiao, Zhen-Hong Yang

引用次数: 0

An energy awareness study in a Smart City lessons learned 智慧城市能源意识研究的经验教训

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827663

Rie Tanaka, Mischa Schmidt, C. Åhlund, Yuri Takamatsu

引用次数: 1