唐賓徽 陳睿 周振興



摘? 要: 由于移動通信網和無線傳感網各有特點,且各自的網絡結構和協議棧差別較大,兩網異構融合產生的多業務數據流量將同時具備局部性、周期性、隨機性、突發性等多重特點,結構復雜,對網絡運營能力及安全監測帶來了技術難題。文中針對多業務流的場景,分析各類業務流模型的特點,提出一種基于異構網的融合業務流模型,并對業務流量通過預測算法進行預測。仿真結果表明,該模型算法的預測精度較高,為異構網的多業務融合起到了重要的支撐作用。
關鍵詞: 異構網; 融合業務流模型; 預測算法; 無線傳感網; 移動通信網; 模型分析
中圖分類號: TN92?34? ? ? ? ? ? ? ? ? ? ? ? ? 文獻標識碼: 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絡技術和物聯網技術的不斷發展,大力推進無線傳感網與移動通信網的異構融合已是大勢所趨。無線傳感網通過末端感知可為移動通信網提供有效、可靠且實時的前端數據;而移動通信網作為信息傳送的承載網可為無線傳感網提供有效的管理、運營和維護。兩網的異構融合,不僅有助于海量傳感信息的傳輸、分發與共享,還可作為一種全新的增值業務推動移動通信網的發展,為建立無處不在的泛在網絡[1]奠定基礎。本文主要針對異構網融合業務流的特點,建立與之相適應的業務流模型,并使用預測算法對其進行流量預測,為異構網絡性能評估提供解決方案。
泛在網絡就是將通信服務的對……