Automatic Mobile Nodes Deployment and Power Management for Sensor Networks

碩士 === 國立中正大學 === 光機電整合工程所 === 93 === Wireless sensor network is the emerging technology, and many academic units and research centers devote a lot to this issue. As the name, sensor network is composed by many sensor nodes. The sensor communicates with others through the network, and the data of ea...

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Bibliographic Details
Main Authors: Leon Tu, 凃亮兆
Other Authors: Ren C. Luo
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/61994311885739943599
Description
Summary:碩士 === 國立中正大學 === 光機電整合工程所 === 93 === Wireless sensor network is the emerging technology, and many academic units and research centers devote a lot to this issue. As the name, sensor network is composed by many sensor nodes. The sensor communicates with others through the network, and the data of each node would be integrated. It could be applied in medical care, military, environmental monitoring, traffic control, industry and so on. Here are some features of this technology: high flexibility, fault tolerance, high precision, low production costs, and scalability. By using distributed data fusion, the environmental information could be more correct. Sensor nodes are capable of detecting, communication, and processing data. The sensing unit can detect the temperature, pressure, vibration, sound or chemical vapor autonomously. Each sensor node has the characteristics of few energy consumption, low cost, and small size. A common design of sensor nodes lacks of mobility due to the high cost and energy consumption, but it limits the applications drastically. In this thesis, some advantages of mobile nodes are listed, and an implement is demonstrated. An auto-deployment method is proposed here to raise system coverage and uniformity rapidly and realized with this mobile node. Besides, we present a dynamic power management policy. The sleeping period of each node is determined adaptively by considering with event generation, battery status, coverage problems and communication situations. It prolongs the system life time without influencing the quality of surveillance. From the simulation results, both algorithms could achieve pretty good performances.