【摘要】：隨著無線充電技術(shù)的發(fā)展,我們能為無線傳感器網(wǎng)絡(luò)中的傳感器節(jié)點進行充電并讓網(wǎng)絡(luò)持續(xù)運行。同時數(shù)據(jù)收集一直是無線傳感器網(wǎng)絡(luò)研究的熱點。傳統(tǒng)的數(shù)據(jù)收集方式是傳感器節(jié)點自組網(wǎng)通過多跳中繼的方式將數(shù)據(jù)傳送回基站。近來,移動數(shù)據(jù)收集被認為是一種比傳統(tǒng)數(shù)據(jù)收集方式更有效的替代。因此,本文結(jié)合無線充電和移動數(shù)據(jù)收集,規(guī)劃無線可充電傳感器網(wǎng)絡(luò)中移動數(shù)據(jù)收集結(jié)合充電的方案�；陔x線模型,本文首先規(guī)劃一套方案,離線模型假定傳感器節(jié)點的電量消耗和數(shù)據(jù)產(chǎn)生率恒定,傳感器節(jié)點的剩余電量可預測。然后在此基礎(chǔ)上進一步研究在線模型中移動數(shù)據(jù)收集結(jié)合充電的方案,在線模型認為傳感器節(jié)點的電量消耗和數(shù)據(jù)產(chǎn)生率不恒定,傳感器節(jié)點的剩余電量不可預測。本文主要研究工作如下:(1)基于離線模型的方案使用多個SenCar來收集網(wǎng)絡(luò)中的數(shù)據(jù)并對網(wǎng)絡(luò)補充能量。此前學者規(guī)劃的方案沒有保證在每個周期能收集到網(wǎng)絡(luò)中所有傳感器節(jié)點產(chǎn)生的數(shù)據(jù),且在網(wǎng)絡(luò)運行過程中傳感器節(jié)點會出現(xiàn)死亡(通常我們稱傳感器節(jié)點的剩余電量低于正常工作值為“死亡”)。在一些場景中,要保證傳感器節(jié)點不能出現(xiàn)死亡。因此,以前的方案在這些場景中都不能使用。本文規(guī)劃的方案要用盡可能少的SenCar(一種配備有數(shù)據(jù)收集裝置和充電裝置的移動小車)來收集到網(wǎng)絡(luò)中每個傳感器節(jié)點上一周期產(chǎn)生的數(shù)據(jù)且保證網(wǎng)絡(luò)能持續(xù)運行,即網(wǎng)絡(luò)中不會出現(xiàn)死亡節(jié)點。(2)早前的研究中,收集數(shù)據(jù)結(jié)合充電都是離線的被動式的。本篇論文基于在線模型進一步研究移動數(shù)據(jù)收集結(jié)合充電的方案,采用請求式策略�；谡埱笫讲呗�,在單個SenCar的服務(wù)能力范圍內(nèi),我們希望能收集到盡可能多的數(shù)據(jù)。為此,本文規(guī)劃了一套權(quán)值優(yōu)先方案,并且本文理論分析了單個SenCar能服務(wù)的網(wǎng)絡(luò)規(guī)模上限。(3)本文在Eclipse的平臺上,對方案進行編碼實現(xiàn)。通過模擬實驗,證明本文所提方案的可行性和有效性。
[Abstract]:With the development of wireless charging technology, we can charge sensor nodes in wireless sensor networks and keep the network running. At the same time, data collection has been a hot topic in wireless sensor networks. The traditional method of data collection is that the sensor nodes transmit the data back to the base station by multi-hop relay. Recently, mobile data collection has been considered to be a more effective alternative to traditional data collection. Therefore, combining wireless charging and mobile data collection, this paper plans the scheme of mobile data collection and charging in wireless rechargeable sensor networks. Based on the off-line model, this paper first plans a set of schemes. The off-line model assumes that the power consumption and data generation rate of the sensor node are constant, and the residual power of the sensor node can be predicted. Then the scheme of mobile data collection and charging in the online model is further studied. The online model considers that the power consumption and data generation rate of sensor nodes are not constant and the residual power of sensor nodes is unpredictable. The main work of this paper is as follows: (1) the scheme based on offline model uses multiple SenCar to collect the data of the network and replenish the energy to the network. Previous plans by scholars did not guarantee the collection of data generated by all sensor nodes in the network during each cycle. And the sensor node will die during the network operation (usually we call the residual power of the sensor node lower than the normal working value is called "death"). In some scenarios, make sure the sensor node does not die. Therefore, previous scenarios cannot be used in these scenarios. The plan in this paper is to use as little SenCar as possible (a mobile car with data collection devices and charging devices) to collect the data generated in the last cycle of each sensor node in the network and to ensure that the network continues to run. In other words, there are no dead nodes in the network. (2) in previous studies, data collection and charging are all passive offline. Based on the online model, this paper further studies the scheme of mobile data collection combined with charging, and adopts a request strategy. Based on the request strategy, we hope to collect as much data as possible within the service capability of a single SenCar. For this reason, this paper plans a set of weighted priority schemes, and theoretically analyzes the upper limit of the network size of a single SenCar service. (3) this paper encodes the scheme on the platform of Eclipse. The feasibility and effectiveness of the proposed scheme are proved by simulation experiments.
【學位授予單位】：杭州電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP212.9;TN929.5

【參考文獻】

相關(guān)期刊論文 前2條

1 Thomas H.Cormen;Charles E.Leiserson;Ronald L.Rivest;Clifford Stein;殷建平;徐云;王剛;劉曉光;蘇明;鄒恒明;王宏志;;算法導論(原書第3版)[J];計算機教育;2013年10期

2 顏振亞,鄭寶玉;無線傳感器網(wǎng)絡(luò)[J];計算機工程與應用;2005年15期

相關(guān)博士學位論文 前1條

1 曹向輝;無線傳感器/執(zhí)行器網(wǎng)絡(luò)的體系結(jié)構(gòu)與算法研究[D];浙江大學;2011年

相關(guān)碩士學位論文 前1條

1 江發(fā)昌;無線充電傳感器網(wǎng)絡(luò)系統(tǒng)及應用[D];浙江大學;2012年

，

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