發(fā)布時(shí)間：2018-06-29 01:16

  本文選題：可充電無(wú)線傳感器網(wǎng)絡(luò) + 無(wú)線能量傳輸��； 參考：《合肥工業(yè)大學(xué)》2015年博士論文

【摘要】：無(wú)線傳感器網(wǎng)絡(luò)興起和發(fā)展成為數(shù)字信息世界和物理真實(shí)世界的紐帶,為信號(hào)與信息處理方向的研究帶來(lái)了新的機(jī)遇,同時(shí),無(wú)線傳感器網(wǎng)絡(luò)的研究也面臨著前所未有的挑戰(zhàn)。無(wú)線傳感器網(wǎng)絡(luò)能量相關(guān)問(wèn)題始終是該領(lǐng)域研究的熱點(diǎn)問(wèn)題。無(wú)線傳感器節(jié)點(diǎn)能源受限一直是阻礙無(wú)線傳感器網(wǎng)絡(luò)長(zhǎng)期工作的瓶頸。已有學(xué)者在無(wú)線傳感器網(wǎng)絡(luò)的數(shù)據(jù)路由、MAC協(xié)議、能量控制、跨層優(yōu)化及外部能量獲取領(lǐng)域進(jìn)行研究。近年來(lái),新興的無(wú)線能量傳輸技術(shù)為無(wú)線傳感器節(jié)點(diǎn)能量補(bǔ)給帶來(lái)了曙光。對(duì)無(wú)線傳感器節(jié)點(diǎn)進(jìn)行遠(yuǎn)距離無(wú)線能量補(bǔ)給,可有效地解決無(wú)線傳感器節(jié)點(diǎn)能源受限的問(wèn)題,然而國(guó)內(nèi)外對(duì)引入無(wú)線能量傳輸設(shè)備后的無(wú)線傳感器網(wǎng)絡(luò)的研究才剛起步。本文利用最優(yōu)化方法,通過(guò)深入分析引入無(wú)線能量補(bǔ)給設(shè)備的無(wú)線傳感器網(wǎng)絡(luò)模型,提出一系列優(yōu)化問(wèn)題并求解,得到不同網(wǎng)絡(luò)結(jié)構(gòu)下的無(wú)線能量補(bǔ)給設(shè)備和無(wú)線傳感網(wǎng)絡(luò)的工作策略。本文的研究成果如下：(1)提出單基站可充電無(wú)線傳感器網(wǎng)絡(luò)靜態(tài)拓?fù)湎碌膭?dòng)態(tài)模型。該動(dòng)態(tài)模型反映無(wú)線傳感器節(jié)點(diǎn)和無(wú)線能量補(bǔ)給設(shè)備在不同時(shí)刻需要滿足的約束條件。無(wú)線能量補(bǔ)給設(shè)備通過(guò)遍歷網(wǎng)絡(luò)內(nèi)所有傳感器節(jié)點(diǎn)進(jìn)行能量補(bǔ)給,使其不會(huì)因?yàn)榉烹娺^(guò)度而失效。為盡可能減少無(wú)線能量補(bǔ)給設(shè)備的工作時(shí)間而更長(zhǎng)地駐留在維護(hù)站,提出了動(dòng)態(tài)網(wǎng)絡(luò)模型下的優(yōu)化問(wèn)題,并通過(guò)推導(dǎo)和證明將其轉(zhuǎn)化為具有等優(yōu)性的線性規(guī)劃問(wèn)題。求解該優(yōu)化問(wèn)題后,得到無(wú)線能量補(bǔ)給設(shè)備的最佳遍歷路徑、充電時(shí)長(zhǎng)和無(wú)線傳感器網(wǎng)絡(luò)的動(dòng)態(tài)數(shù)據(jù)路由策略。(2)提出單基站可充電無(wú)線傳感器網(wǎng)絡(luò)動(dòng)態(tài)拓?fù)湎碌膭?dòng)態(tài)模型。在該模型中,無(wú)線能量補(bǔ)給設(shè)備在遍歷無(wú)線傳感器網(wǎng)絡(luò)中不同節(jié)點(diǎn)時(shí),也擔(dān)任數(shù)據(jù)收集任務(wù),從節(jié)點(diǎn)處接收數(shù)據(jù)。而被充電的節(jié)點(diǎn)作為簇頭節(jié)點(diǎn)從簇內(nèi)其他節(jié)點(diǎn)處接收信息,并直接傳輸給無(wú)線能量補(bǔ)給設(shè)備。由于無(wú)線能量補(bǔ)給設(shè)備需要遍歷網(wǎng)絡(luò)中所有傳感器節(jié)點(diǎn),那么擔(dān)任簇頭的傳感器節(jié)點(diǎn)和簇的劃分不是固定不變的。與靜態(tài)拓?fù)淠Ｊ较碌哪Ｐ筒煌?需要研究不同時(shí)刻不同傳感器節(jié)點(diǎn)需要滿足的約束條件,并提出相應(yīng)的優(yōu)化問(wèn)題。通過(guò)求解該優(yōu)化問(wèn)題,得到單基站可充電無(wú)線傳感器網(wǎng)絡(luò)動(dòng)態(tài)拓?fù)淠Ｊ较鹿?jié)點(diǎn)動(dòng)態(tài)分簇策略、網(wǎng)絡(luò)數(shù)據(jù)路由策略及無(wú)線能量補(bǔ)給設(shè)備的工作策略。(3)提出多基站可充電無(wú)線傳感器網(wǎng)絡(luò)動(dòng)態(tài)模型。在較為廣闊的區(qū)域內(nèi)布設(shè)多個(gè)基站,可有效地減少無(wú)線傳感器網(wǎng)絡(luò)中數(shù)據(jù)傳輸?shù)木嚯x和跳數(shù),從而降低無(wú)線傳感器節(jié)點(diǎn)的能耗。通過(guò)分析之前兩個(gè)研究成果,提出無(wú)線傳感器節(jié)點(diǎn)活躍度的概念,建立多基站可充電無(wú)線傳感器網(wǎng)絡(luò)動(dòng)態(tài)模型并提出相應(yīng)優(yōu)化問(wèn)題。通過(guò)求解該優(yōu)化問(wèn)題,得到在最大化網(wǎng)絡(luò)中傳感器節(jié)點(diǎn)活躍度目標(biāo)下的數(shù)據(jù)路由、通信功率控制及無(wú)線能量補(bǔ)給設(shè)備動(dòng)態(tài)且周期的工作策略。
[Abstract]:The rise and development of wireless sensor network has become the link between the digital information world and the physical real world. It has brought new opportunities for the research of the direction of signal and information processing. At the same time, the research of wireless sensor networks is facing unprecedented challenges. The problem of the capacity of wireless sensor networks has always been a hot topic in this field. The energy limitation of wireless sensor nodes has been a bottleneck to the long-term work of wireless sensor networks. Some scholars have studied the data routing, MAC protocol, energy control, cross layer optimization and external energy acquisition in wireless sensor networks. In recent years, new wireless energy transmission technology has been used for wireless sensor node energy supplement. The long distance wireless energy supply to wireless sensor nodes can effectively solve the problem of energy limitation for wireless sensor nodes. However, the research on wireless sensor networks after the introduction of wireless energy transmission equipment at home and abroad is just starting. This paper uses the most optimized method to introduce wireless energy through in-depth analysis. A series of optimization problems and solutions are proposed for the wireless sensor network model of recharge equipment. The work strategy of wireless energy supply equipment and wireless sensor networks under different network structures is obtained. The results of this paper are as follows: (1) the dynamic model of the single base station Rechargeable Wireless sensor network topology is proposed. The wireless sensor nodes and the wireless energy supply equipment need to meet the constraints at different times. The wireless energy supply equipment can supply energy by traversing all the sensor nodes in the network, so that it will not be invalid because of excessive discharge. The maintenance station, the optimization problem under the dynamic network model is proposed, and it is transformed into a linear programming problem with equal optimality by derivation and proof. After solving the optimization problem, the optimal ergodicity path of the wireless energy supply equipment, the long charge time and the dynamic data routing strategy of the wireless sensor network are obtained. (2) the single base station can be recharged. In the dynamic topology of an electric wireless sensor network, a wireless energy supply device also acts as a data collection task to receive data from a node when it traverses the different nodes in the wireless sensor network. The charged node receives information as a cluster head node from his node in the cluster and transfers it directly to the wireless network. Because the wireless energy supply equipment needs to traverse all the sensor nodes in the network, the partition of the sensor nodes and clusters of the cluster heads is not fixed. Different from the static topology model, the constraints that the sensor nodes need to meet at different time should be studied and the corresponding advantages are proposed. By solving the optimization problem, the dynamic clustering strategy of nodes, network data routing strategy and the work strategy of wireless energy supply equipment in the dynamic topology mode of the single base station Rechargeable Wireless sensor network are solved. (3) the dynamic model of the multibase station Rechargeable Wireless Sensor Network is proposed. Stations can effectively reduce the distance and hops of data transmission in wireless sensor networks and reduce the energy consumption of wireless sensor nodes. By analyzing the previous two research results, the concept of the activity of wireless sensor nodes is proposed, and the dynamic model of the multibase station Rechargeable Wireless Sensor Network is established and the corresponding optimization problems are put forward. In order to solve the optimization problem, the data routing, communication power control and the dynamic and periodic work strategy of the power control and the wireless energy supply equipment are obtained in the maximum network.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP212.9;TN929.5

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