本文關(guān)鍵詞：大規(guī)模無線傳感器網(wǎng)絡(luò)覆蓋優(yōu)化研究　出處：《重慶大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 無線傳感器網(wǎng)絡(luò) 三峽庫區(qū) 水環(huán)境監(jiān)測 覆蓋優(yōu)化策略 人工魚群優(yōu)化算法

【摘要】：隨著長江三峽水利樞紐工程的順利推進(jìn)和周邊城鎮(zhèn)化建設(shè)的加快，三峽庫區(qū)的生態(tài)環(huán)境現(xiàn)狀及其變化一直廣受國內(nèi)外關(guān)注�，F(xiàn)有的監(jiān)測設(shè)備、方法和手段已不能滿足任務(wù)要求，迫切需要提高三峽庫區(qū)環(huán)境監(jiān)測的能力。 由于無線傳感器網(wǎng)絡(luò)具有低成本、自組織、通信靈活、可遠(yuǎn)程實(shí)時(shí)監(jiān)控等特點(diǎn)，，無線傳感器網(wǎng)絡(luò)在環(huán)境監(jiān)測中的應(yīng)用成為研究的熱點(diǎn)，本文以三峽庫區(qū)水環(huán)境監(jiān)測為應(yīng)用背景，針對(duì)無線傳感器網(wǎng)絡(luò)節(jié)點(diǎn)能量有限的特點(diǎn)，重點(diǎn)研究覆蓋優(yōu)化策略和節(jié)點(diǎn)能量的均衡性來延長網(wǎng)絡(luò)的生命周期，在分析現(xiàn)有研究成果的基礎(chǔ)上，提出了適合于三峽庫區(qū)水環(huán)境監(jiān)測的大規(guī)模無線傳感器網(wǎng)絡(luò)覆蓋優(yōu)化策略。 根據(jù)三峽庫區(qū)水環(huán)境監(jiān)測具有監(jiān)測面積大和分布廣的特點(diǎn)，研究三峽庫區(qū)大規(guī)模無線傳感器水環(huán)境監(jiān)測網(wǎng)絡(luò)的覆蓋特性，并考慮網(wǎng)絡(luò)的實(shí)現(xiàn)成本，充分利用國內(nèi)外已取得的研究成果，將人工魚群算法應(yīng)用到無線傳感器網(wǎng)絡(luò)覆蓋優(yōu)化中，以人工魚群算法為基礎(chǔ)，針對(duì)人工魚群算法存在后期收斂慢、求解精度不高和易陷入局部值的缺陷，提出了帶反饋策略的混沌人工魚群算法。該算法將具有遍歷性的混沌搜索引入到基本人工魚群算法，在人工魚搜索結(jié)果的基礎(chǔ)上進(jìn)行混沌局部搜索，避免了算法陷入局部值；同時(shí)反饋策略的加入避免了算法后期迂回搜索，提高了收斂速度和求解精度。 在完成上述算法研究的基礎(chǔ)上，傳統(tǒng)的覆蓋優(yōu)化策略未考慮傳感器節(jié)點(diǎn)能耗均衡且最小化的冗余節(jié)點(diǎn)覆蓋并不能代表網(wǎng)絡(luò)能耗的最小化，提出基于能量管理的無線傳感器網(wǎng)絡(luò)覆蓋優(yōu)化策略，以覆蓋率最大化和網(wǎng)絡(luò)能耗最小化搭建數(shù)學(xué)模型。仿真結(jié)果表明該策略能夠在保證覆蓋率的前提下能延長網(wǎng)絡(luò)的生命周期，節(jié)省了網(wǎng)絡(luò)能量。
[Abstract]:With the smooth progress of the three Gorges Project and the acceleration of the surrounding urbanization, the status quo and changes of the ecological environment in the three Gorges Reservoir area have been widely concerned at home and abroad, and the existing monitoring equipment. The methods and means can not meet the requirements of the task, so it is urgent to improve the ability of environmental monitoring in the three Gorges Reservoir area. Because wireless sensor networks have the characteristics of low cost, self-organization, flexible communication, remote real-time monitoring and so on, the application of wireless sensor networks in environmental monitoring has become a research hotspot. Based on the application background of water environment monitoring in the three Gorges Reservoir area, aiming at the limited energy of wireless sensor network nodes, this paper focuses on the coverage optimization strategy and the balance of node energy to prolong the network life cycle. Based on the analysis of the existing research results, a large scale wireless sensor network coverage optimization strategy suitable for water environment monitoring in the three Gorges Reservoir area is proposed. According to the characteristics of large area and wide distribution of water environment monitoring in the three Gorges Reservoir area, the coverage characteristics of the large-scale wireless sensor water environment monitoring network in the three Gorges Reservoir area are studied, and the realization cost of the network is considered. The artificial fish swarm algorithm is applied to the wireless sensor network coverage optimization based on the artificial fish swarm algorithm, aiming at the late convergence of artificial fish swarm algorithm. In this paper, a chaotic artificial fish swarm algorithm with feedback strategy is proposed, which introduces the ergodicity chaotic search to the basic artificial fish swarm algorithm. Based on the results of artificial fish search, chaotic local search is carried out to avoid the algorithm falling into local value. At the same time, the addition of feedback strategy avoids the tortuous search in the later stage of the algorithm, and improves the convergence speed and the accuracy of the solution. On the basis of the above algorithms, the traditional coverage optimization strategy does not consider the sensor node energy balance and minimum redundant node coverage can not represent the minimum network energy consumption. An energy management based coverage optimization strategy for wireless sensor networks is proposed. The simulation results show that the proposed strategy can prolong the network life cycle and save the network energy under the premise of the coverage maximization and the network energy consumption minimization.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP212.9;TN929.5

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