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無(wú)線(xiàn)多跳通信網(wǎng)絡(luò )中基于貝葉斯概率模型的消息轉發(fā)機制研究
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中國電子科技集團第五十四研究所

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Research on Message Forwarding Mechanism Based on Bayesian Probability Model in Wireless Multihop Communication Network
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    摘要:

    無(wú)線(xiàn)多跳通信網(wǎng)絡(luò )依賴(lài)多節點(diǎn)中繼實(shí)現信息傳輸,因不需要依賴(lài)預先架設的基礎設施而成為軍用及民用領(lǐng)域等特殊應用場(chǎng)景下的重要通信方式。為了能在復雜及惡劣環(huán)境下組網(wǎng),信源節點(diǎn)往往采用全網(wǎng)廣播路由請求分組RREQ的泛洪方法,以提高多跳轉發(fā)路徑構建成功率。然而,全網(wǎng)泛洪廣播產(chǎn)生消息的冗余轉發(fā)和重疊效應引起節點(diǎn)能耗的上升和信道利用率的下降,導致分組碰撞與網(wǎng)絡(luò )擁塞概率的上升,嚴重時(shí)可能造成網(wǎng)絡(luò )癱瘓而失去效用。本文基于貝葉斯概率論設計了無(wú)線(xiàn)多跳通信網(wǎng)絡(luò )的消息轉發(fā)模型,通過(guò)計算節點(diǎn)密度和后驗概率在保證網(wǎng)絡(luò )連通性的條件下減少不必要的消息轉發(fā)。基于NS2的仿真結果表明,本文所提出的基于貝葉斯概率模型的消息轉發(fā)機制能夠有效減小廣播分組的重播次數。相比于同類(lèi)算法,在基本保證網(wǎng)絡(luò )吞吐量的前提下,可以有效降低能量消耗、路由開(kāi)銷(xiāo),并提高分組成功交付率,從而為未來(lái)廣域大規模動(dòng)態(tài)多跳網(wǎng)絡(luò )部署提供技術(shù)支撐。

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    Wireless multihop communication network relies on multi node relay to realize information transmission without the support of infrastructure so as to become an important communication mode in military and civil fields. RREQ flooding in the whole network is always adopted for networking in complex and harsh environment. However, the redundant forwarding and overlapping effects of messages generated by the whole network flooding broadcast will cause the increase of node energy consumption and channel collision probability to decrease of channel utilization. A new message forwarding mechanism is proposed based on Bayesian probability model. The unnecessary forwarding overhead will be reduced by calculating the node density and posteriori probability. Simulation results based on NS2 show that the repeated broadcasting times can be greatly reduced by the Bayesian probability model based forwarding mechanism proposed in this paper. Compared with similar algorithms, the proposed mechanism can reduce the energy consumption, routing overhead, and improve packet success delivery rate effectively on the premise of basically ensuring network throughput, thus providing technical support for the future wide area large-scale multihop network deployment.

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梁晨,楊艷,秦丹陽(yáng),郭曉萌,馬琳.無(wú)線(xiàn)多跳通信網(wǎng)絡(luò )中基于貝葉斯概率模型的消息轉發(fā)機制研究計算機測量與控制[J].,2020,28(3):231-234.

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  • 收稿日期:2020-01-16
  • 最后修改日期:2020-01-21
  • 錄用日期:2020-01-22
  • 在線(xiàn)發(fā)布日期: 2020-03-30
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