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  本文關鍵詞：多級異構(gòu)無線傳感器網(wǎng)絡高能效分簇路由算法　出處：《江西理工大學》2017年碩士論文　論文類型：學位論文

  更多相關文章： 無線傳感器網(wǎng)絡 分簇路由 多跳路由 能量消耗

【摘要】：無線傳感器網(wǎng)絡WSN(Wireless Sensor Network)是將數(shù)據(jù)收集、處理和傳輸綜合為一體的網(wǎng)絡,它也是一種節(jié)點分布較隨機、自組織相互協(xié)調(diào)合作、不需要基礎設施的網(wǎng)絡,在諸多領域有著廣闊的應用前景。但是,網(wǎng)絡中傳感器節(jié)點體積細小,節(jié)點的能量又受到限制,而且,節(jié)點需要收集監(jiān)測數(shù)據(jù)并進行處理,還要通過無線廣播通信發(fā)送數(shù)據(jù)。故此,為了減少傳感器節(jié)點的能量消耗,怎樣充分利用能量,是優(yōu)化無線傳感器網(wǎng)絡路由要解決的重點問題。本文在DEEC研究的基礎上,研究了多級異構(gòu)WSN基于節(jié)點位置信息和當前剩余能量的優(yōu)化分簇路由技術(shù),并對改進路由技術(shù)在網(wǎng)絡運行周期和轉(zhuǎn)發(fā)數(shù)據(jù)量的能力上進行了重點分析。本文主要研究內(nèi)容如下:1.介紹WSN的概念、特點、結(jié)構(gòu)以及應用模型。闡述了LEACH和DEEC路由的運行機制,通過仿真實驗對比了這兩種算法的性能,分析了這兩種算法的優(yōu)缺點。同時簡單介紹了其他相關的WSN路由技術(shù),并分析了DEEC仍可改進的地方。2.分析、研究了基于節(jié)點位置和剩余能量的分簇路由技術(shù)。分簇結(jié)構(gòu)網(wǎng)絡有著良好的可擴展性,便于管理,因此成為解決能耗問題的重要方法。本文提出一種多級異構(gòu)無線傳感器網(wǎng)絡能量優(yōu)化算法(EOCA),該算法在分簇階段考慮了節(jié)點位置和剩余能量這兩個因素,使得選擇的簇頭在距離基站更近的位置,減少距基站較遠節(jié)點競選為簇頭的機率。與SEP和DEEC路由算法比較,EOCA路由算法很好的提高了網(wǎng)絡性能,平衡了全網(wǎng)能量的消耗,使得全網(wǎng)的生存時間得以延長。3.分析、研究了基于節(jié)點位置和剩余能量的自適應多跳路由算法。本文提出一種多級異構(gòu)無線傳感器網(wǎng)絡高能效多跳路由算法(MEECR),該算法采用單跳與多跳相結(jié)合的路由機制,算法利用一個距離閾值決定節(jié)點采用單跳或是多跳路由,在多跳路由中算法依據(jù)節(jié)點位置和剩余能量定義的一個決策值,由該決策值確定簇頭的下一跳路由。由仿真實驗結(jié)果可知,MEECR有效地提升了網(wǎng)絡的性能。與SEP和DEEC相比,MEECR具有較長的穩(wěn)定運行時間以及更大的網(wǎng)絡吞吐量。
[Abstract]:Wireless sensor network (WSN(Wireless Sensor Network) is a network that integrates data collection, processing and transmission, and it is also a random distribution of nodes. Self-organization and cooperation with each other do not require infrastructure of the network, which has a broad application prospects in many fields. However, the sensor nodes in the network are small in size, and the energy of nodes is limited. Nodes need to collect and process monitoring data and transmit data through wireless communication. Therefore, in order to reduce the energy consumption of sensor nodes, how to make full use of energy. Based on the research of DEEC, this paper studies the optimal clustering routing technology of multilevel heterogeneous WSN based on node location information and current residual energy. And improve the routing technology in network running cycle and forwarding data capacity is analyzed. The main research content of this paper is as follows: 1. Introduce the concept and characteristics of WSN. Structure and application model. The running mechanism of LEACH and DEEC routing is described, and the performance of the two algorithms is compared by simulation experiments. This paper analyzes the advantages and disadvantages of these two algorithms. At the same time, it briefly introduces other related WSN routing techniques, and analyzes the possible improvement of DEEC. 2. The clustering routing technology based on node location and residual energy is studied. The cluster structure network has good scalability and is easy to manage. Therefore, it has become an important method to solve the problem of energy consumption. In this paper, a multi-level heterogeneous wireless sensor network energy optimization algorithm EOCA) is proposed. The algorithm takes into account the node position and residual energy in the clustering phase, which makes the selected cluster head closer to the base station. Compared with SEP and DEEC routing algorithm, it can improve the network performance and balance the energy consumption of the whole network. So that the whole network of survival time can be extended. 3. Analysis. An adaptive multi-hop routing algorithm based on node location and residual energy is studied. In this paper, an efficient multi-hop routing algorithm for multi-level heterogeneous wireless sensor networks (WSN) is proposed. The algorithm uses a single-hop and multi-hop routing mechanism, the algorithm uses a distance threshold to determine the node to use single-hop or multi-hop routing. According to a decision value defined by node position and residual energy in multi-hop routing, the next hop routing of cluster head is determined by the decision value. Compared with SEP and DEEC, MEECR has longer stable running time and larger network throughput.
【學位授予單位】：江西理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP212.9;TN929.5

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