無線傳感網(wǎng)與移動通信網(wǎng)融合業(yè)務(wù)流模型和預(yù)測算法研究

唐賓徽 陳睿 周振興

摘? 要： 由于移動通信網(wǎng)和無線傳感網(wǎng)各有特點，且各自的網(wǎng)絡(luò)結(jié)構(gòu)和協(xié)議棧差別較大，兩網(wǎng)異構(gòu)融合產(chǎn)生的多業(yè)務(wù)數(shù)據(jù)流量將同時具備局部性、周期性、隨機(jī)性、突發(fā)性等多重特點，結(jié)構(gòu)復(fù)雜，對網(wǎng)絡(luò)運營能力及安全監(jiān)測帶來了技術(shù)難題。文中針對多業(yè)務(wù)流的場景，分析各類業(yè)務(wù)流模型的特點，提出一種基于異構(gòu)網(wǎng)的融合業(yè)務(wù)流模型，并對業(yè)務(wù)流量通過預(yù)測算法進(jìn)行預(yù)測。仿真結(jié)果表明，該模型算法的預(yù)測精度較高，為異構(gòu)網(wǎng)的多業(yè)務(wù)融合起到了重要的支撐作用。

關(guān)鍵詞： 異構(gòu)網(wǎng); 融合業(yè)務(wù)流模型; 預(yù)測算法; 無線傳感網(wǎng); 移動通信網(wǎng); 模型分析

中圖分類號： TN92?34? ? ? ? ? ? ? ? ? ? ? ? ? 文獻(xiàn)標(biāo)識碼： A? ? ? ? ? ? ? ? ? ? ? ? ? ?文章編號： 1004?373X（2020）05?0014?05

Research on service flow model and prediction algorithm for integration of wireless sensor networks and mobile communication networks

TANG Binhui1， CHEN Rui2， ZHOU Zhenxing3

（1. School of Computer and Software， Jincheng College of Sichuan University， Chengdu 610000， China;

2. School of Humanities， Xihua University， Chengdu 610000， China;

3. A Military Representative Office of PLA Rocket Force， Chengdu 610000， China）

Abstract： Since both the mobile communication networks and the wireless sensor networks have their own characteristics， and their network structures and protocol stacks are quite different， the multi?service data flow generated by the heterogeneous integration of the two networks are of the characteristics of locality， periodicity， randomness and burst property， as well as complex structure， which brings technical problems to network operation capability and security monitoring. In view of the above mentioned， the characteristics of various service flow models are analyzed on the basis of multi?service flow scenarios， and an integrated service flow model based on heterogeneous network is proposed， and the service flow is predicted by the prediction algorithm. The simulation results show that the prediction accuracy of the model algorithm is high， which plays an important supporting role for multi?service integration of heterogeneous networks.

Keywords： heterogeneous network; converged service flow model; prediction algorithm; wireless sensor network; mobile communication network; model analysis

0? 引? 言

隨著新一代移動通信網(wǎng)絡(luò)技術(shù)和物聯(lián)網(wǎng)技術(shù)的不斷發(fā)展，大力推進(jìn)無線傳感網(wǎng)與移動通信網(wǎng)的異構(gòu)融合已是大勢所趨。無線傳感網(wǎng)通過末端感知可為移動通信網(wǎng)提供有效、可靠且實時的前端數(shù)據(jù);而移動通信網(wǎng)作為信息傳送的承載網(wǎng)可為無線傳感網(wǎng)提供有效的管理、運營和維護(hù)。兩網(wǎng)的異構(gòu)融合，不僅有助于海量傳感信息的傳輸、分發(fā)與共享，還可作為一種全新的增值業(yè)務(wù)推動移動通信網(wǎng)的發(fā)展，為建立無處不在的泛在網(wǎng)絡(luò)[1]奠定基礎(chǔ)。本文主要針對異構(gòu)網(wǎng)融合業(yè)務(wù)流的特點，建立與之相適應(yīng)的業(yè)務(wù)流模型，并使用預(yù)測算法對其進(jìn)行流量預(yù)測，為異構(gòu)網(wǎng)絡(luò)性能評估提供解決方案。

泛在網(wǎng)絡(luò)就是將通信服務(wù)的對……