發(fā)布時(shí)間：2018-10-31 11:59

【摘要】：數(shù)據(jù)聚集是無線傳感器網(wǎng)絡(luò)中的基本操作。在許多應(yīng)用中,降低數(shù)據(jù)聚集時(shí)延是一個(gè)重要目標(biāo)。此外,無線傳感器網(wǎng)絡(luò)面臨的主要挑戰(zhàn)是能源短缺,減少能源消耗是亟待解決的問題,本文針對(duì)數(shù)據(jù)聚集協(xié)議及數(shù)據(jù)聚集調(diào)度展開研究。無線傳感器網(wǎng)絡(luò)存在能量約束,網(wǎng)內(nèi)數(shù)據(jù)聚集技術(shù)可以減少傳輸?shù)臄?shù)據(jù)量,能夠有效地降低能量消耗。然而大部分的網(wǎng)內(nèi)數(shù)據(jù)聚集都采用先發(fā)性(proactive)的路由協(xié)議,不能根據(jù)事件動(dòng)態(tài)建立數(shù)據(jù)聚集結(jié)構(gòu)。為解決這個(gè)問題,提出了IDADCR(In-network Data Aggregation based on Dynamic-Clustering Routing,基于動(dòng)態(tài)分簇路由的網(wǎng)內(nèi)數(shù)據(jù)聚集)算法。該算法考慮節(jié)點(diǎn)與Sink節(jié)點(diǎn)的距離、節(jié)點(diǎn)密度和節(jié)點(diǎn)剩余能量三個(gè)因素,進(jìn)行簇頭選擇,實(shí)現(xiàn)簇內(nèi)數(shù)據(jù)聚集。引入聚集距離的概念,提出了改進(jìn)的最短路徑樹,實(shí)現(xiàn)簇間數(shù)據(jù)聚集。實(shí)驗(yàn)結(jié)果表明,該算法在動(dòng)態(tài)網(wǎng)絡(luò)環(huán)境中有效地降低數(shù)據(jù)傳輸量,實(shí)現(xiàn)網(wǎng)內(nèi)數(shù)據(jù)聚集。近來,無沖突低時(shí)延的數(shù)據(jù)聚集調(diào)度在如實(shí)時(shí)監(jiān)測等許多應(yīng)用中使用,數(shù)據(jù)聚集時(shí)延是關(guān)鍵性能指標(biāo)。占空比技術(shù),即周期性地打開和關(guān)閉節(jié)點(diǎn)的通信功能,顯著減少傳感器節(jié)點(diǎn)的活動(dòng),降低傳感器的能量消耗并延長網(wǎng)絡(luò)壽命。對(duì)此,提出了一種跨層數(shù)據(jù)聚集調(diào)度算法LDAS(Low-Latency Data Aggregation Scheduling in Duty-Cycled Wireless Sensor Network,占空比無線傳感器網(wǎng)絡(luò)的低時(shí)延數(shù)據(jù)聚集調(diào)度),以生成無沖突低時(shí)延數(shù)據(jù)聚集調(diào)度。實(shí)驗(yàn)結(jié)果表明,該算法的性能優(yōu)于現(xiàn)有算法。
[Abstract]:Data aggregation is the basic operation in wireless sensor networks. In many applications, reducing data aggregation delay is an important goal. In addition, the main challenge for wireless sensor networks is energy shortage, and reducing energy consumption is an urgent problem. This paper focuses on data aggregation protocol and data aggregation scheduling. Wireless sensor networks have energy constraints, data aggregation technology can reduce the amount of data transmitted, can effectively reduce energy consumption. However, most of the data aggregation in the network is based on the routing protocol of pre-sent (proactive), and the data aggregation structure can not be built dynamically according to the events. To solve this problem, IDADCR (In-network Data Aggregation based on Dynamic-Clustering Routing, based on dynamic clustering routing) algorithm is proposed. Considering the distance between the node and the Sink node, the node density and the residual energy of the node, the algorithm selects the cluster head and realizes the data aggregation in the cluster. The concept of aggregation distance is introduced and an improved shortest path tree is proposed to realize data aggregation among clusters. Experimental results show that the algorithm can effectively reduce the amount of data transmission and realize data aggregation in the dynamic network environment. Recently, data aggregation scheduling without collision and low delay is used in many applications such as real-time monitoring. Data aggregation delay is a key performance index. Duty cycle technology, that is, periodically opening and closing the communication function of nodes, significantly reduces the activity of sensor nodes, reduces the energy consumption of sensors and prolongs the network life. In this paper, a cross-layer data aggregation scheduling algorithm LDAS (low delay data aggregation scheduling for Low-Latency Data Aggregation Scheduling in Duty-Cycled Wireless Sensor Network, duty cycle wireless sensor networks) is proposed to generate conflict-free low delay data aggregation scheduling. Experimental results show that the performance of the algorithm is better than that of the existing algorithm.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP212.9;TN929.5

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本文編號(hào)：2302098