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The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II.最新文献

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Collaborative system construction with networked appliances and networked sensors 联网设备和联网传感器协同系统建设
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469111
T. Yamazaki, M. Yamauchi, Y. Tajika
A collaborative system with networked appliances and networked sensors has been developed at a real-life testbed. The networked appliances are connected by the middleware that establishes a service using distributed function elements on the networked appliances. The networked sensors are connected by IEEE 802.15.4 and work collaboratively with the networked appliances. We show a prototype implementation of the collaborative system.
一个具有联网设备和联网传感器的协作系统已经在现实生活的测试平台上开发出来。联网设备由中间件连接,中间件使用联网设备上的分布式功能元素建立服务。联网传感器通过IEEE 802.15.4连接,并与联网设备协同工作。我们展示了协作系统的原型实现。
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引用次数: 0
SASHA: toward a self-healing hybrid sensor network architecture 萨沙:一种自我修复的混合传感器网络架构
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469101
T. Bokareva, N. Bulusu, S. Jha
For widespread adoption of sensor technology, robustness in the event of abnormal behavior, such as a network intrusion or failures of components or nodes, is critical. Current research on robust and resilient sensor networking is focused on specific tasks - secure broadcast, secure aggregation, secure localization or fault-tolerant feature extraction. While these primitives provide useful functionality, what has been lacking is a comprehensive, holistic approach to sensor network robustness across various failure modalities. We propose a self-healing hybrid sensor network architecture, called SASHA, that is inspired by and coopts several mechanisms used by the acquired natural immune system to attain its autonomy, robustness, diversity and adaptability to unknown pathogens, and compactness. SASHA encompasses automatic fault recognition and response over a wide range of possible faults. Moreover, it is an adaptive architecture that can learn and evolve its monitoring and inference capabilities over time to deal with unknown faults. We illustrate the workings of SASHA using the example of fault-tolerant sensor data collection and outline an agenda for future research.
对于传感器技术的广泛采用,在异常行为(如网络入侵或组件或节点故障)发生时的鲁棒性至关重要。目前对鲁棒和弹性传感器网络的研究主要集中在特定的任务上——安全广播、安全聚合、安全定位或容错特征提取。虽然这些原语提供了有用的功能,但一直缺乏一种全面、整体的方法来实现传感器网络在各种故障模式下的鲁棒性。我们提出了一种自我修复的混合传感器网络架构,称为SASHA,它的灵感来自并采用了获得性自然免疫系统使用的几种机制,以实现其自主性,鲁棒性,多样性和对未知病原体的适应性以及紧凑性。SASHA包括自动故障识别和响应范围广泛的可能的故障。此外,它是一种自适应体系结构,可以随着时间的推移学习和发展其监视和推理能力,以处理未知故障。我们使用容错传感器数据收集的例子来说明SASHA的工作原理,并概述了未来研究的议程。
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引用次数: 64
The use of scalable source routing for networked sensors 使用可扩展的网络传感器源路由
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469115
T. Fuhrmann
In this paper, we briefly present a novel routing algorithm, scalable source routing (SSR), which is capable of memory and message efficient routing in networks with 'random topology'. This algorithm enables sensor networks to use recent peer to-peer mechanisms from the field of overlay networks, like e.g. distributed hash tables and indirection infrastructures. Unlike other proposals along that direction, SSR integrates all necessary routing tasks into one simple, highly efficient routing protocol. Simulations demonstrate that in a small-world network with more than 100 000 nodes, SSR requires each node to only store routing data for 255 other nodes to establish routes between arbitrary pairs of nodes. These routes are on average only about 20-30% longer than the globally optimal path between these nodes.
本文简要介绍了一种新的路由算法——可扩展源路由(SSR),它能够在具有“随机拓扑”的网络中实现内存和消息高效路由。该算法使传感器网络能够使用覆盖网络领域最新的点对点机制,例如分布式哈希表和间接基础设施。不像其他沿着这个方向的建议,SSR将所有必要的路由任务集成到一个简单、高效的路由协议中。仿真结果表明,在100,000个节点以上的小世界网络中,SSR要求每个节点只存储其他255个节点的路由数据,从而在任意节点对之间建立路由。这些路径平均只比这些节点之间的全局最优路径长20-30%。
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引用次数: 12
Controlling sensor density using mobility 利用移动性控制传感器密度
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469109
Bin Zhang, G. Sukhatme
We present a distributed deployment algorithm for a mobile sensor network which is able to deploy sensor nodes in a distribution proportional to a scalar field. The algorithm randomly partitions space into sufficiently small neighborhoods at each iteration. Within each neighborhood a redistribution process directed by a cluster head is enacted. We prove that after sufficiently many iterations, the distribution of nodes approaches the desired profile in the overall region. The algorithm is scalable to large network sizes, and is not restricted to planar domains. We show experimentally that the algorithm is noise tolerant.
提出了一种移动传感器网络的分布式部署算法,该算法能够按标量场的比例分布部署传感器节点。该算法在每次迭代时随机将空间划分为足够小的邻域。在每个邻域内,由簇头指导重新分配过程。我们证明,经过足够多的迭代,节点的分布在整个区域接近期望的轮廓。该算法可扩展到大网络规模,并且不局限于平面域。实验结果表明,该算法具有良好的耐噪性。
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引用次数: 23
Constrained random sensor selection for application-specific data gathering in wireless sensor networks 无线传感器网络中特定应用数据采集的约束随机传感器选择
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469106
Wook Choi, Sajal K. Das, H. Choe
Due to the application-specific nature of sensor networks, sensing-quality control factors, such as coverage and delay, need to be parameterized in order to optimize energy conservation depending on the type of applications. An application-specific data gathering scheme is an example of such an application-specific algorithm design. In this scheme, only a minimum number of data reporters (sensors) are in each round randomly selected based on the desired sensing coverage (DSC) specified by the applications/users. In this paper, we investigate the use of the Poisson sampling technique which maintains a certain minimum distance between sampled points, to cope with an undesirable property that the selected data reporters may be located too closely. Then, based on this sampling technique we propose a constrained random sensor selection scheme, called CROSS. Inherently, the CROSS improves the spatial regularity of selected sensors, thus reducing the variance of the sensor covered area in each round. Consequently, the fidelity of meeting the DSC in each round improves. We present an algorithm to compute a desired minimum distance (DMD) to be forced between the selected sensors. Simulation results demonstrate that the DMD computed by our algorithm is almost optimal in terms of the improvement on the fidelity of meeting the DSC.
由于传感器网络的应用特殊性,传感器质量控制因素,如覆盖和延迟,需要参数化,以便根据应用类型优化节能。特定于应用程序的数据收集方案就是这种特定于应用程序的算法设计的一个例子。在该方案中,根据应用程序/用户指定的所需传感覆盖范围(DSC),每轮只随机选择最小数量的数据报告者(传感器)。在本文中,我们研究了泊松采样技术的使用,该技术在采样点之间保持一定的最小距离,以应对所选数据报告者可能位于太近的不良属性。然后,基于这种采样技术,我们提出了一种约束随机传感器选择方案,称为CROSS。本质上,CROSS提高了所选传感器的空间规律性,从而减少了每轮传感器覆盖面积的方差。因此,满足每一轮DSC的保真度提高了。我们提出了一种算法来计算所选传感器之间所需的最小距离(DMD)。仿真结果表明,就满足DSC保真度的提高而言,本文算法计算的DMD几乎是最优的。
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引用次数: 4
Sensor networks for agent based distributed energy resources [cool room control example] 基于智能体的分布式能源传感器网络[冷藏室控制示例]
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469113
J. Ward, G. Platt
We are developing agents for the control of distributed energy resources (DERS) in the electricity network. These resources consist of both generators and loads, physically located close to load centres. Although traditionally DERs have operated independently, we have been able to demonstrate an architecture whereby DERs collaborate to present an aggregated response. This aggregated response can be used to support the network at times of peak demand, increasing efficiency and robustness. In this paper, we focus on one such DER agent, which provides control of a commercial cool room. This agent utilizes a wireless sensor network to collect information on various products in the cool room, allowing the control system to respond based on aggregated conditions across the sensor network. Through development of new software and protocols, the sensor network is able to exist on the same control channel as traditional control hardware and provide extra reliability and fault tolerance.
我们正在开发用于控制电网中的分布式能源(DERS)的代理。这些资源包括发电机和负载,实际位置靠近负载中心。尽管传统上der是独立运行的,但我们已经能够演示一种架构,通过该架构,der可以协作来呈现聚合响应。这种聚合响应可用于在需求高峰时支持网络,从而提高效率和鲁棒性。在本文中,我们重点研究了一个这样的DER代理,它提供了对商业冷藏室的控制。该代理利用无线传感器网络收集冷藏室中各种产品的信息,使控制系统能够根据传感器网络的汇总情况做出响应。通过开发新的软件和协议,传感器网络能够像传统的控制硬件一样存在于同一控制通道上,并提供额外的可靠性和容错性。
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引用次数: 0
Fast neighbor join and link breakage detection for METX-based routing in wireless sensor networks 基于metx的无线传感器网络路由快速邻居加入和链路断开检测
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469103
H. Wang, L. Ngoh, W. Seah, D. He
In this paper, we present fast neighbor join and fast link breakage detection schemes to enhance the minimal expected transmission (METX)-based routing scheme reported recently (Woo et al. (2003)). Current METX-based routing scheme uses a link estimator named window mean with exponential weighted moving average (WMEWMA) (Woo et al. (2003)), which is relatively slow in neighbor join and delete, thus affecting the way the network adapts to the dynamic of links. To solve this problem, we propose a fast neighbor join and a fast link breakage detection scheme. The fast join scheme can turn on the links with good quality rapidly while the fast link breakage detection scheme shortens the time to identify the broken link. Through extensive simulation we show that the two schemes work well together with the WMEWMA estimator and therefore improve the performance of routing in a dynamic environment.
在本文中,我们提出了快速邻居连接和快速链路断裂检测方案,以增强最近报道的基于最小期望传输(METX)的路由方案(Woo et al.(2003))。目前基于metx的路由方案使用了一种名为window mean with exponential weighted moving average (WMEWMA)的链路估计器(Woo et al.(2003)),该方法在邻居加入和删除方面相对较慢,从而影响了网络对链路动态的适应方式。为了解决这个问题,我们提出了一种快速邻居连接和快速链路断裂检测方案。快速连接方案可以快速打开质量较好的链路,而快速链路断裂检测方案则缩短了识别断裂链路的时间。通过大量的仿真,我们证明了这两种方案与WMEWMA估计器可以很好地协同工作,从而提高了动态环境下路由的性能。
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引用次数: 3
Interpolation for wireless sensor network coverage 无线传感器网络覆盖插值
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469107
R. Tynan, Gregory M. P. O'Hare, D. Marsh, D. O'Kane
One of the primary issues for any wireless sensor network (WSN) deployment is that of longevity of the network. The lifespan of the network must be maximized while maintaining the quality of the sensory data received from the network. Most current solutions for achieving this require the definition of a sensing radius for each sensor together with a coverage level k. The sensed area is covered if every point within the area is inside the sensing radius of at least k sensors. When some points are covered by more than k sensors, it may be possible to instruct the surplus sensors to enter a low power sleep mode. This will conserve the energy of the network while maintaining the required coverage level. In. this paper we propose a novel alternative to this approach based on interpolation. If the sensor network is capable of interpolating the sensed medium at a given sensor's location to a specified accuracy or higher, then we propose that this sensor is redundant and can be put into sleep mode. We demonstrate our approach using live sensory data.
任何无线传感器网络(WSN)部署的主要问题之一是网络的寿命。在保证从网络接收到的传感数据质量的同时,必须使网络的寿命最大化。目前实现这一目标的大多数解决方案需要定义每个传感器的传感半径以及覆盖级别k。如果区域内的每个点都在至少k个传感器的传感半径内,则被传感区域被覆盖。当某些点被超过k个传感器覆盖时,可以指示剩余的传感器进入低功耗休眠模式。这将节省网络的能量,同时保持所需的覆盖水平。在。本文提出了一种新的基于插值的替代方法。如果传感器网络能够在给定的传感器位置内插感测介质到指定的精度或更高,那么我们建议该传感器是冗余的,可以进入休眠模式。我们使用实时传感数据来演示我们的方法。
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引用次数: 32
Wired pigs: ad-hoc wireless sensor networks in studies of animal welfare 有线猪:动物福利研究中的自组织无线传感器网络
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469096
Ian Mccauley, Brett Matthews, Liz Nugent, Andrew Mather, Julie Simons Pirvic
The potential for the use of ad-hoc wireless sensor network technology in experimental investigations in animal welfare was explored in a study of the effect of the immediate environment on the body temperature of pigs. Sensors to simultaneously measure core and surface temperature were implanted in four pigs and monitored for a week using the open source application, TinyDB. Concurrently, a network of environmental sensors measuring predominantly temperature and humidity was placed around the pigs and this network was managed and monitored using a commercial package, Sensicast Developers Version (Sensicast DV). Approximately 100000 data points were gathered during the study. It was found to be significantly easier to develop, deploy and maintain the sensor network using Sensicast DV, and that there were significant problems when TinyDB was faced with large amounts of frequent sampling. However, TinyDB provided greater flexibility than Sensicast DV in its capacity to support more sensor platforms.
在动物福利实验调查中使用自组织无线传感器网络技术的潜力在一项研究中探讨了直接环境对猪体温的影响。同时测量核心和表面温度的传感器被植入四头猪体内,并使用开源应用程序TinyDB进行一周的监测。同时,在猪的周围放置了一个主要测量温度和湿度的环境传感器网络,该网络使用商业软件包Sensicast Developers Version (Sensicast DV)进行管理和监控。在研究期间收集了大约100000个数据点。我们发现,使用Sensicast DV开发、部署和维护传感器网络要容易得多,并且当TinyDB面临大量频繁采样时,存在明显的问题。然而,TinyDB在支持更多传感器平台方面提供了比Sensicast DV更大的灵活性。
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引用次数: 13
Cluster-based congestion control for supporting multiple classes of traffic in sensor networks 基于集群的拥塞控制,支持传感器网络中多类流量
Pub Date : 2005-04-30 DOI: 10.1109/EMNETS.2005.1469105
K. Karenos, V. Kalogeraki, S. Krishnamurthy
In wireless sensor networks, multiple flows from data collecting sensors to an aggregating sink could traverse paths that are largely interference coupled. These interference effects manifest themselves as congestion, and cause high packet loss and arbitrary packet delays. This is particularly problematic in event-based sensor networks where some flows are of greater importance than others and require fidelity in terms of higher packet delivery and timeliness. In this paper we present COMUT (congestion control for multi-class traffic), a distributed cluster-based mechanism for supporting multiple classes of traffic in sensor networks. COMUT is based on the self-organization of the network into clusters each of which autonomously and proactively monitors congestion within its localized scope. The clusters then exchange appropriate information to facilitate system wide rate control. Our simulation results demonstrate that our techniques are highly effective in dealing with multiple, randomly initiated flows.
在无线传感器网络中,从数据收集传感器到聚合接收器的多个流可能会穿越很大程度上是干扰耦合的路径。这些干扰效应表现为拥塞,并导致高丢包率和任意包延迟。这在基于事件的传感器网络中尤其成问题,其中一些流比其他流更重要,并且在更高的数据包传递和及时性方面要求保真度。在本文中,我们提出了COMUT(多类流量拥塞控制),这是一种基于分布式集群的机制,用于支持传感器网络中的多类流量。COMUT是基于网络的自组织成集群,每个集群在其局部范围内自主和主动监控拥塞。然后,集群交换适当的信息,以促进系统范围内的速率控制。我们的模拟结果表明,我们的技术在处理多个随机启动的流方面是非常有效的。
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引用次数: 46
期刊
The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II.
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