Description: 智能无线传感器网络综合了传感技术、嵌入式计算技术、现代网络技术、无线通信技术和分布式智能信息处理技术，将功能相同或不同的无线智能传感器构成网络化、智能化的传感器网络，大大提高了传感器的监测能力。基于智能无线传感器网络的实用监控系统采用中短距离、低功耗无线网络，射频传输成本低；可根据需要采用多种供电模式、节能效果好；可实现灵活的快速组网和自动配置，扩展性好；任意传感器之间可相互协调实现数据通信；能支持多种不同类型的传感器，适应性强。-smart wireless sensor networks of integrated sensor technology, embedded computing technology, modern network technology, Wireless communications technology and distributed intelligent information processing technology, will be the same or different functions of wireless smart sensor networks and intelligent sensor networks greatly increasing the sensor monitoring capabilities. Based on intelligent wireless sensor networks a practical control system uses short distance, low-power wireless network, RF transmission cost is low; may need to employ a variety of power supply mode, the effect of energy-saving; can be flexible, rapid and automatic network configuration, the expansion is good; arbitrary sensor coordination between data communication; will support a variety of different types of se Platform: |
Size: 21504 |
Author:wolfguy |
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Description: 《Ultra-Low Power Wireless Technologies for Sensor Networks》
电子书，Brian Otis and Jan Rabaey，很贵的一本书！- Ultra-Low Power Wireless Technologies for Sensor Networks e-book, Brian Otis and Jan Rabaey, expensive book! Platform: |
Size: 13457408 |
Author:金颂扬 |
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Description: 基于T i n y O S 的无线传感器网络体系结构
无线传感器网络WSN(Wireless Sensor Network) 由部署在监测区域内大量廉价的传感器节点组成,通过
无线通信方式形成multi2hop 自组织的网络系统,其目的是协作地感知、采集和处理网络覆盖区域中感知
对象的信息,并发送给观察者。本文从分析无线传感器节点Mica 和其上运行的操作系统TinyOS 出发,
着重描述无线传感器网络节点应用程序体系结构和消息通信机制。
-T iny OS-based wireless sensor network architecture, wireless sensor networks WSN (Wireless Sensor Network) deployed in the region to monitor a large number of low-cost sensor nodes through wireless communications multi2hop formed self-organized network system with the aim of collaboration to Perception, collection and processing network coverage area perceptual object information, and send observers. This article from the analysis of wireless sensor nodes Mica and its running on TinyOS operating system, the focus on wireless sensor network nodes to describe the application architecture and message communication mechanism. Platform: |
Size: 346112 |
Author:ge |
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Description: 基于Zig Bee协议的温度湿度无线传感器网络
3
辛 颖, 谢光忠, 蒋亚东
(电子科技大学光电信息学院,四川成都610054)
摘 要: 阐述了一种温度湿度智能数据采集的无线传感器网络,介绍了传感器节点的软件与硬件设计。
该系统基于Zig Bee无线通信协议设计,克服了有线传感器网络的局限性,避免了其他无线通信技术的高
功耗的缺点,节点成本低、网络容量大、生存周期长。实验结果表明:温度测量精度为1 ℃,湿度精度为
3 ％RH,可以广泛用于环境检测。
关键词: 温度 湿度 无线 传感器网络 紫蜂-Zig Bee agreement based on the temperature and humidity 3 wireless sensor networks Xin Ying, Xie Guang-zhong, JIANG Ya-dong (University of Electronic Science and Technology Information Institute of Optoelectronics, Sichuan Chengdu 610054, China) Abstract: A temperature and humidity data acquisition smart wireless sensor networks, introduced a sensor node software and hardware design. The system is based on Zig Bee wireless communication protocol designed to overcome the limitations of wired sensor networks to avoid the other wireless communication technology the shortcomings of the high-power, low-cost nodes, network capacity, long life cycle. The experimental results show that: temperature measurement accuracy of 1 ℃, humidity accuracy of 3 RH, can be widely used in environmental testing. Key words: temperature and humidity in Wireless Sensor Networks purple bee Platform: |
Size: 206848 |
Author:ge |
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Description: X-MAC, a low power MAC
protocol for wireless sensor networks (WSNs). Standard
MAC protocols developed for duty-cycled WSNs such as
BMAC, which is the default MAC protocol for TinyOS, employ
an extended preamble and preamble sampling. Platform: |
Size: 141312 |
Author:Shereen |
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Description: Micaz规格说明书
MICAz
The MICAz is a 2.4 GHz Mote module
used for enabling low-power, wireless
sensor networks.-Micaz Datasheet
MICAz
The MICAz is a 2.4 GHz Mote module
used for enabling low-power, wireless
sensor networks. Platform: |
Size: 325632 |
Author:Tyler |
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Description: 无线传感器网络中低能耗自适应成簇算法（leach算法）的C语言实现-Low-power wireless sensor networks in the adaptive clustering algorithm (leach algorithm) of the C language Platform: |
Size: 212992 |
Author:money |
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Description: telosb规格说明书 The telosb is a 2.4 GHz Mote module used for enabling low-power, wireless sensor networks.-telosb Datasheet .-telosb specifications The telosb is a 2.4 GHz Mote module used for enabling low-power, wireless sensor networks.-telosb Datasheet. Platform: |
Size: 100352 |
Author:水若寒冰 |
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Description: 此函数用于产生脉冲超宽带系统的训练序列的波形。输出参数有三个：bits--发送的数据,stx--发送的信号,ref--参考信号
发送端调制方式为TH-PAM-The emerging ultra-wideband (UWB) system offers a great potential
for high data rate wireless multimedia applications of the home
entertainment and industry, as well as for low data rate sensor
networks involving low power devices~\cite{paragraph1}. One of the
most acute challenges in realizing these potentials of the UWB
systems is the timing acquisition. Timing errors as small as
fractions of a nanosecond could seriously degrade the system
performance~\cite{paragraph21}. The difficulty in UWB
synchronization arises from UWB signals being the ultrashort
low-duty-cycle pulses operating at very low power density. Platform: |
Size: 1024 |
Author:徐微 |
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Description: 低功耗无线传感器网络研究的一本书籍，从硬件软件两方面介绍低功耗无线传感器网络技术的国外最新研究技术。无线传感器网络研究人员必读。-Low-power wireless sensor networks, a book, both hardware and software description from the low-power wireless sensor network technology, the latest research technology abroad. Wireless sensor networks research required reading. Platform: |
Size: 13457408 |
Author:liangzhimao |
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Description: ZIGBEE技术讲解ZigBee的应用，可以列举出如家庭和楼宇自动化、工业监控、设备跟踪、低功耗无线传感器网络、机顶盒与遥控、自动抄表及医疗等诸多应用-ZIGBEE explain the ZigBee technology applications, could be mentioned, such as family and building automation, industrial monitoring and control, equipment tracking, low power wireless sensor networks, set-top box and remote control, automatic meter reading and medical and many other applications Platform: |
Size: 71680 |
Author:opo |
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Description: Power consumption is an important design criterion in
the design of wireless sensor networks. Hybrid radio
frequency/free space optical wireless sensor networks (RF/FSO
WSN) have been proposed to reduce the energy consumption of
traditional RF-based sensor networks. This paper compares the
performance of such a hybrid sensor network against the wellknown
RF-based low energy adapting clustering hierarchy
(LEACH) WSN proposed in the literature. Network performance
is studied in terms of network lifetime and average network area
coverage. Simulations show that despite not employing data
aggregation, the RF/FSO WSN has a longer lifetime and larger
average network coverage when compared to the LEACH WSN Platform: |
Size: 631808 |
Author:serag |
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Description: In wireless sensor networks, the power resource of
each sensor node is limited. Minimizing energy dissipation and
maximizing network lifetime are important issues in the design
of routing protocols for sensor networks. In this paper, Cluster
routing protocol LEACH (Low-Energy Adaptive Clustering
Hierarchy) is research and improved. We extend LEACH
stochastic cluster-head selection algorithm via changing the
round time According to the situation of sensor network. It is
named Variable-round LEACH. The result simulated in NS2
shows that the energy is significantly reduced and the lifetime
of the whole network is increased compared with the previous
routing algorithm for the sensor networks. Platform: |
Size: 118784 |
Author:mihir |
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Description: With the recent advances inmicro electro-mechanical systems(MEMS) technology, wireless communications, and digital electronics, the design and development of low-cost, low-power, multifunctional sensor nodes that are small in size and communicate untethered in short distances have become feasible.
The ever-increasing capabilities of these tiny sensor nodes, which include sensing, data processing, and communicating, enable the realization of wireless sensor networks (WSNs) based on the collaborative effort of a large number of sensor nodes Platform: |
Size: 4507648 |
Author:Loan |
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Description: Energy is one of the most important items to determine the network lifetime due to low power energy nodes included in the network. Generally, data aggregation tree concept is used to find an energy efficient solution. However, even the best aggregation tree does not share the load of data packets to the transmitting nodes fairly while it is consuming the lowest possible energy of the network. Therefore, after some rounds, this problem causes to consume the whole energy of some heavily loaded nodes and hence results in with the death of the network. In this paper, by using the Genetic Algorithm (GA), we investigate the energy efficient data collecting spanning trees to find a suitable route which balances the data load throughout the network and thus balances the residual energy in the network in addition to consuming totally low power of the network. Using an algorithm which is able to balance the residual energy among the nodes can help the network to withstand more and consequently extend its own lifetime. In this work, we calculate all possible routes represented by the aggregation trees through the genetic algorithm. GA finds the optimum tree which is able to balance the data load and the energy in the network. Simulation results show that this balancing operation practically increases the network lifetime. Platform: |
Size: 342534 |
Author:atrakpc@yahoo.com |
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Search - Low-power wireless sensor networks