An Implementation of P2P System for Sharing Sensory Information
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Visual sensor network
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This paper introduces a new sensor network testbed, X-sensor, that integrates multiple sensor networks deployed at different sites. X-sensor provides three functionalities: (a) a sensor network search which enables users to find a sensor networks appropriate for experiment and data acquisition, (b) a sensor data archive which provides users with various sensor data acquired by sensor nodes, and (c) an experimental testbed which enables remote users to evaluate their network and data management protocols.
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Sensor networks locally form the variety sensor network as base for diverse sensors. Pre-existing development of sensor network has the problem about the processing in accordance with unit and representation of method because it does not have the common data format. Also, it has the difficult to share the data with different sensor networks. Development of middleware that can share the diverse raw data collected by node of sensor network is needed. Thus we complete the XML data that can process the whole data from sensor node and propose the middleware in sensor networks that can use the sensor data through the web.
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This paper presents a concept and its application of the dynamic multi-layered sensor network for gathering environment information. The architecture of the system is composed of sensor layer, physical layer, and communication layer. Sensor layer is the combination and the network of the sensor components in each sensor node. A sensor node has multiple numbers of sensors, and a number of robots for the mobile sensor network. Each mobile robot plays a role of mobile base for a sensor node, and consists of physical layer. We discuss the formation of the multi-layered sensor network, which is active, adaptive, and task oriented in the surrounding environment. As each sensor node consists of multiple numbers of heterogeneous sensors, sensor combination is not restricted to one particular objective or task. This fact allows the network to be multi-functional. Same kind of sensors can establish ad-hoc sensor network, while different kind of sensors fuse the data for improved interpretation of the environment. Experiments with mobile sensors nodes are conducted and illustrated to show the concept of the multi-layered mobile sensor network.
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This paper describes the components and an addressing scheme for a sensor network in which the number and location of sensor nodes change dynamically. A sensor network is a network composed of various sensor nodes, and a sensor node consists of one or more CPUs, sensors, and a network interface. A sensor network, an organization of sensor nodes that are embedded in a wall, floor, electrical equipment, and nonelectrical equipment, can be used to support human action, the navigation of mobile robots, and other purposes. In comparison with a closed sensor network in a factory, they have the possibility to be moved somewhere without any notice given to the network management system. In order to operate such networks effectively and correctly, changes of the number and location of sensor nodes must be detected. In this paper, we discuss some fundamental components of such a network, and we call a network having these components an adaptive sensor network. They include position-based addressing, an addressing scheme that can be generally applicable to the construction of such sensor network systems. With this addressing scheme, a data value is requested by using not an identifier but a location. The client that requests the data does not care whether there is a real sensor node at the location or not. We created a prototype of an adaptive sensor network system. It consists of a node management system, a node positioning system, and a human interface system for the sensor network. Through performance evaluation of the prototype, we concluded that it could follow dynamic changes due to either node failures or the motion of nodes. © 2000 Scripta Technica, Electron Comm Jpn Pt 3, 84(3): 62–71, 2001
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A Wireless Sensor Network consists of many sensor nodes built in sensing, data processing, and communicating components, which has found its wide use in health, military, and security.Each node with limited energy supports sensor operations, on-board signal processing, and communication with neighboring nodes.So, Power conservation is a challenging accomplishment for wireless sensor network because each sensor node's power recourses are limited.How to extend the lifetime of the network should be carefully considered in designing wireless sensor network.In this paper we proposed an energy efficient dynamic energy management technique for target tracking in Wireless Sensor Network, We utilize PSO algorithm and duty cycling technology in order to let sensors that perform tasks be in the active state and all other sensors are in the sleep state.The proposed mouthed is useful for manage sensor nodes to extend network lifetime.
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Wireless sensor networks (WSNs) are an emerging technology which can be used for outdoor environmental monitoring. This paper presents challenges that arose from the development and deployment of a WSN for environmental monitoring as well as network performance analysis of this network. Different components in our sensor network architecture are presented like the physical nodes, the sensor node code, and two messaging protocols; one for collecting sensor and network values and the other for sensor node commands. An information model for sensor nodes to support plug-and-play capabilities in sensor networks is also presented.
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Sensor networks are integration of sensor techniques, nested computation techniques, distributed computation techniques and wireless communication techniques. They can be used for testing, sensing, collecting and processing information of monitored objects and transferring the processed information to users. Sensor network is a new research area of computer science and technology and has a wide application future. Both academia and industries are very interested in it. The concepts and characteristics of the sensor networks and the data in the networks are introduced, and the issues of the sensor networks and the data management of sensor networks are discussed. The advance of the research on sensor networks and the data management of sensor networks are also presented.
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