本文選題：無線可充電傳感器網絡 + 充電調度��； 參考：《南京郵電大學》2017年碩士論文

【摘要】：無線傳感網絡作為現代化信息時代的一項重要的革命性的技術,自誕生以來都受到諸多學者的關注,在軍事、交通、生物監(jiān)測、醫(yī)療等領域起到了不可替代的作用。然而節(jié)點電池電量限制了傳感網絡的工作時間,如何為節(jié)點補充電量并維持網絡正常運行是一個關鍵問題。本文研究應用移動小車搭載無線充電器為傳感節(jié)點補充能量,提出了無線可充電傳感器網絡的模型和充電調度方法,在提高充電效率的同時,解決了傳感節(jié)點生存期有限的問題。針對在可充電的傳感網絡中節(jié)點能量損耗的問題,提出一種使用移動充電小車給待充電節(jié)點進行充電的方法。首先,建立移動充電小車給傳感網絡節(jié)點進行充電的模型,提出了充電電池的能量利用率的概念;其次對于提出的模型,分別在離線和在線兩種模式下設計了離線啟發(fā)式算法和在線啟發(fā)式算法;最后在仿真實驗的數據下,對比了離線和在線這兩種大小不同規(guī)模的環(huán)境下的充電利用率,分析離線和在線了在大規(guī)模環(huán)境中充電周期和充電電池總能量分別對充電利用率的影響。理論分析和實驗仿真表明,與在線模式相比,離線模式的充電利用率平均提高了近13%;而在大規(guī)模環(huán)境的一定范圍內,離線和在線的充電利用率隨著充電時間和電池總能量的增長而呈線性式增長。除此之外,在離線模式下規(guī)模比較大的環(huán)境中,基于充電效率和按需分配能量的思想補充了一個離線式的啟發(fā)式算法,該算法通過仿真實驗證明在一定程度上提高充電電池的能量利用率。所提算法考慮到了小車充電能量的限制,更加貼近現實環(huán)境,同時提升充電電池利用率,提高傳感網絡的工作效率。
[Abstract]:As an important and revolutionary technology in the modern information age, wireless sensor network (WSN) has been paid attention by many scholars since its birth. It plays an irreplaceable role in the fields of military, transportation, biological monitoring, medical treatment and so on. However, the battery power limits the working time of the sensor network. It is a key problem how to recharge the nodes and maintain the normal operation of the network. In this paper, the wireless charger is applied to the mobile car to replenish the energy of the sensor node, and the model of wireless rechargeable sensor network and the charging scheduling method are proposed to improve the charging efficiency at the same time. The problem of limited lifetime of sensor nodes is solved. In order to solve the problem of node energy loss in rechargeable sensor networks, a method of charging nodes to be charged by mobile charging car is proposed. First of all, the model of mobile charging car charging sensor network node is established, and the concept of energy utilization ratio of rechargeable battery is put forward; secondly, for the proposed model, The off-line heuristic algorithm and on-line heuristic algorithm are designed in off-line and on-line mode respectively. Finally, under the data of simulation experiment, the charge utilization ratio of off-line and on-line environment is compared. The effects of charging cycle and total battery energy on charge utilization in large scale environment were analyzed. Theoretical analysis and experimental simulation show that, compared with online mode, the average charge utilization rate of off-line mode is increased by nearly 13 percent, while in a certain range of large-scale environment, Offline and online charge utilization increases linearly with the increase of charging time and total battery energy. In addition, in a large scale environment in off-line mode, an off-line heuristic algorithm is added based on the idea of charging efficiency and energy allocation according to demand. Simulation results show that the algorithm can improve the energy efficiency of the rechargeable battery to a certain extent. Considering the limitation of car charging energy, the proposed algorithm is more close to the real environment, and at the same time, the efficiency of the charged battery is improved and the working efficiency of the sensor network is improved.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP212.9;TN929.5

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本文編號：1993521