{"title":"同步超低功耗无线传感器网络的定位","authors":"Ville Kaseva, T. Hämäläinen, Marko Hännikäinen","doi":"10.5081/JGPS.10.1.50","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Networks (WSNs) consist of densely deployed, independent, and collaborating low cost sensor nodes. The nodes are highly resource-constrained in terms of energy, processing, and data storage capacity. Thus, the protocols used in WSNs must be highly energy-efficient. WSN communication protocols achieving the lowest power consumption minimize radio usage by accurately synchronizing transmissions and receptions with their neighbors. In this paper, we show how network signaling frames of state-of-the-art synchronized communication protocols for low-power WSNs supporting mobile nodes can be used for positioning. We derive mathematical models for node power consumption analysis. Both centralized and distributed positioning architectures are modeled. The models provide a tool for estimating what kind of network lifetimes can be expected when average positioned node speed, the amount of anchor nodes required by the location estimation algorithm, and the location refresh rate required by the application are known. The presented analysis results are based on two kinds of node hardware: with and without Received Signal Strength Indicator (RSSI). The results show that the positioning parameters and used hardware have significant impact on node power consumption and network lifetime. In the presented results, the network lifetime ranges from over 10 years to 2 months with different positioning requirements and hardware. keywords: Wireless, Low-Power, Sensor Networks c ⃝[2010] IEEE. Portions reprinted, with permission, from [Ville Kaseva, Timo D. Hamalainen, and Marko Hannikainen, Positioning in Resource-Constrained Ultra Low-Power Wireless Sensor Networks, Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), October/2010]","PeriodicalId":237555,"journal":{"name":"Journal of Global Positioning Systems","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Positioning in Synchronized Ultra Low-Power Wireless Sensor Networks\",\"authors\":\"Ville Kaseva, T. Hämäläinen, Marko Hännikäinen\",\"doi\":\"10.5081/JGPS.10.1.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless Sensor Networks (WSNs) consist of densely deployed, independent, and collaborating low cost sensor nodes. The nodes are highly resource-constrained in terms of energy, processing, and data storage capacity. Thus, the protocols used in WSNs must be highly energy-efficient. WSN communication protocols achieving the lowest power consumption minimize radio usage by accurately synchronizing transmissions and receptions with their neighbors. In this paper, we show how network signaling frames of state-of-the-art synchronized communication protocols for low-power WSNs supporting mobile nodes can be used for positioning. We derive mathematical models for node power consumption analysis. Both centralized and distributed positioning architectures are modeled. The models provide a tool for estimating what kind of network lifetimes can be expected when average positioned node speed, the amount of anchor nodes required by the location estimation algorithm, and the location refresh rate required by the application are known. The presented analysis results are based on two kinds of node hardware: with and without Received Signal Strength Indicator (RSSI). The results show that the positioning parameters and used hardware have significant impact on node power consumption and network lifetime. In the presented results, the network lifetime ranges from over 10 years to 2 months with different positioning requirements and hardware. keywords: Wireless, Low-Power, Sensor Networks c ⃝[2010] IEEE. Portions reprinted, with permission, from [Ville Kaseva, Timo D. 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引用次数: 1
摘要
无线传感器网络(wsn)由密集部署、相互独立、相互协作的低成本传感器节点组成。节点在能源、处理和数据存储能力方面受到高度资源限制。因此,无线传感器网络中使用的协议必须是高能效的。WSN通信协议通过与邻居精确同步传输和接收,实现最低功耗,最大限度地减少无线电使用。在本文中,我们展示了支持移动节点的低功耗wsn的最新同步通信协议的网络信令帧如何用于定位。推导了节点功耗分析的数学模型。对集中式和分布式定位体系结构进行了建模。这些模型提供了一种工具,用于估计在已知平均定位节点速度、位置估计算法所需的锚节点数量和应用程序所需的位置刷新率时,可以预期哪种类型的网络生命周期。本文的分析结果基于两种节点硬件:带和不带接收信号强度指示器(RSSI)。结果表明,定位参数和使用的硬件对节点功耗和网络寿命有显著影响。结果显示,在不同的定位要求和硬件条件下,网络寿命从10年以上到2个月不等。关键词:无线,低功耗,传感器网络c⃝[2010]IEEE。经许可,部分转载自[Ville Kaseva, Timo D. Hamalainen和Marko Hannikainen,资源受限的超低功耗无线传感器网络定位,普适性定位室内导航和基于位置的服务(UPINLBS), 2010年10月]
Positioning in Synchronized Ultra Low-Power Wireless Sensor Networks
Wireless Sensor Networks (WSNs) consist of densely deployed, independent, and collaborating low cost sensor nodes. The nodes are highly resource-constrained in terms of energy, processing, and data storage capacity. Thus, the protocols used in WSNs must be highly energy-efficient. WSN communication protocols achieving the lowest power consumption minimize radio usage by accurately synchronizing transmissions and receptions with their neighbors. In this paper, we show how network signaling frames of state-of-the-art synchronized communication protocols for low-power WSNs supporting mobile nodes can be used for positioning. We derive mathematical models for node power consumption analysis. Both centralized and distributed positioning architectures are modeled. The models provide a tool for estimating what kind of network lifetimes can be expected when average positioned node speed, the amount of anchor nodes required by the location estimation algorithm, and the location refresh rate required by the application are known. The presented analysis results are based on two kinds of node hardware: with and without Received Signal Strength Indicator (RSSI). The results show that the positioning parameters and used hardware have significant impact on node power consumption and network lifetime. In the presented results, the network lifetime ranges from over 10 years to 2 months with different positioning requirements and hardware. keywords: Wireless, Low-Power, Sensor Networks c ⃝[2010] IEEE. Portions reprinted, with permission, from [Ville Kaseva, Timo D. Hamalainen, and Marko Hannikainen, Positioning in Resource-Constrained Ultra Low-Power Wireless Sensor Networks, Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), October/2010]