發(fā)布時(shí)間：2018-01-26 12:33

  本文關(guān)鍵詞： 無(wú)線傳感器網(wǎng)絡(luò) 路由協(xié)議 模糊控制 能耗均衡 網(wǎng)絡(luò)壽命　出處：《天津大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：能量受限是無(wú)線傳感網(wǎng)絡(luò)(Wireless Sensor Networks,WSNs)技術(shù)發(fā)展及廣泛應(yīng)用的最大挑戰(zhàn),延長(zhǎng)網(wǎng)絡(luò)使用壽命是無(wú)線傳感器網(wǎng)絡(luò)設(shè)計(jì)最重要的研究領(lǐng)域之一。本文綜合考慮網(wǎng)絡(luò)能量消耗與節(jié)點(diǎn)能量消耗均衡,利用模糊理論,提出了新的路由節(jié)點(diǎn)選擇機(jī)制,在一定程度上彌補(bǔ)了傳統(tǒng)路由協(xié)議因骨干節(jié)點(diǎn)能量最早耗盡而影響網(wǎng)絡(luò)使用壽命的不足,提高了網(wǎng)絡(luò)的能效性。本文的主要工作如下:(1)引入經(jīng)濟(jì)學(xué)中表示不均衡性程度的泰爾指數(shù)(Theil index)作為表示節(jié)點(diǎn)剩余能量均衡性程度(Degree of Energy Balance DEB)的重要指數(shù)。泰爾指數(shù)不僅能夠反映出節(jié)點(diǎn)能耗的相對(duì)均衡性,還可以衡量組內(nèi)成員節(jié)點(diǎn)能耗不均衡性和組間成員節(jié)點(diǎn)能耗不均衡性對(duì)總體成員不均衡性的影響。(2)定義了節(jié)點(diǎn)質(zhì)量(Node Quality NQ)和節(jié)點(diǎn)傳輸能力(Transmitting Capacity TC)兩個(gè)參數(shù),作為路由選擇過(guò)程中重要的選擇標(biāo)準(zhǔn)。其中,節(jié)點(diǎn)質(zhì)量是基于節(jié)點(diǎn)剩余能量和節(jié)點(diǎn)到sink節(jié)點(diǎn)(匯聚節(jié)點(diǎn))的跳數(shù)定義的,并且剩余能量越多、到sink節(jié)點(diǎn)的跳數(shù)越小,節(jié)點(diǎn)質(zhì)量越好;傳輸能力是基于節(jié)點(diǎn)前向鄰居節(jié)點(diǎn)數(shù)目和節(jié)點(diǎn)負(fù)載量定義的,并且前向鄰居節(jié)點(diǎn)數(shù)目越多、負(fù)載量越小,節(jié)點(diǎn)傳輸能力越強(qiáng)。(3)提出了能耗均衡的模糊路由協(xié)議算法EBFR(Energy Balanced Fuzzy Routing),該算法綜合考慮節(jié)點(diǎn)能耗的均衡性和有效性,從所有前向鄰居節(jié)點(diǎn)中選擇節(jié)點(diǎn)質(zhì)量最好、傳輸能力最強(qiáng)、泰爾均衡性指數(shù)最小的節(jié)點(diǎn)作為下一跳中繼節(jié)點(diǎn),建立從源節(jié)點(diǎn)到sink節(jié)點(diǎn)的傳輸路徑。(4)對(duì)提出的算法性能進(jìn)行仿真分析,考查算法的能耗有效性和均衡性。
[Abstract]:Energy limitation is the biggest challenge to the development and wide application of Wireless Sensor Networks (WSNs) technology in wireless sensor networks. Prolonging network service life is one of the most important research fields in wireless sensor network design. In this paper, considering the balance of network energy consumption and node energy consumption, fuzzy theory is used. A new routing node selection mechanism is proposed, which to a certain extent makes up for the shortcomings of the traditional routing protocol which affects the network service life due to the earliest energy depletion of the backbone nodes. The main work of this paper is as follows: 1) introducing the Theil index, which indicates the degree of imbalance in economics, to improve the energy efficiency of the network. As a representation of the degree of equilibrium of residual energy of the node and the degree of Energy Balance DEB). Their index can not only reflect the relative equilibrium of node energy consumption. We can also measure the effect of energy imbalance of member nodes in group and member nodes between groups on total member imbalance. (2) Node Quality NQ). And node transfer capability to transmit Capacity TCs. As an important selection criterion in the routing process, the node quality is defined based on the residual energy of the node and the number of hops from the node to the sink node (convergence node), and the more residual energy is. The smaller the number of hops to the sink node, the better the node quality. The transmission capacity is defined based on the number of forward neighbor nodes and the number of nodes load, and the more the number of forward neighbor nodes, the smaller the load. The stronger the node transmission capacity is, the more the fuzzy routing algorithm, EBFR(Energy Balanced Fuzzy routing, is proposed. Considering the balance and effectiveness of node energy consumption, the algorithm selects the node with the best quality, the strongest transmission capacity and the smallest Tyr equalization index as the next hop relay node from all the forward neighbor nodes. The transmission path from the source node to the sink node is established to simulate and analyze the performance of the proposed algorithm and to test the energy efficiency and equalization of the algorithm.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN929.5;TP212.9

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本文編號(hào)：1465628