通信学报
通信學報
통신학보
JOURNAL OF CHINA INSTITUTE OF COMMUNICATIONS
2014年
2期
76-86
,共11页
邓广宏%曹万华%张剑%冯力%程雄
鄧廣宏%曹萬華%張劍%馮力%程雄
산엄굉%조만화%장검%풍력%정웅
容迟容断网络%随机网络编码%多播率%多播容量
容遲容斷網絡%隨機網絡編碼%多播率%多播容量
용지용단망락%수궤망락편마%다파솔%다파용량
delay tolerant network%random network coding%multicast rate%multicast capacity
容迟容断网络的移动性、间歇连通性和动态拓扑等动态特性使得当前应用于静态网络拓扑和固定多播容量的静态随机网络编码难以适应DTN网络环境的网络编码传输,为此提出了一种DTN网络环境下动态随机网络编码传输方法。该方法以马尔科夫信道模型为基础,根据节点的数据状态动态监测信道速率,在信源节点构造了带信道容量的网络流图,并计算和预测当前网络多播容量,最后根据多播容量的变化动态扩展和裁剪随机网络编码方案,实现 DTN 网络环境下数据的动态网络编码传输。仿真结果表明,相比传统的固定多播率编码方法,动态随机网络编码方法降低了数据的平均传递延迟,提高了数据投递率。
容遲容斷網絡的移動性、間歇連通性和動態拓撲等動態特性使得噹前應用于靜態網絡拓撲和固定多播容量的靜態隨機網絡編碼難以適應DTN網絡環境的網絡編碼傳輸,為此提齣瞭一種DTN網絡環境下動態隨機網絡編碼傳輸方法。該方法以馬爾科伕信道模型為基礎,根據節點的數據狀態動態鑑測信道速率,在信源節點構造瞭帶信道容量的網絡流圖,併計算和預測噹前網絡多播容量,最後根據多播容量的變化動態擴展和裁剪隨機網絡編碼方案,實現 DTN 網絡環境下數據的動態網絡編碼傳輸。倣真結果錶明,相比傳統的固定多播率編碼方法,動態隨機網絡編碼方法降低瞭數據的平均傳遞延遲,提高瞭數據投遞率。
용지용단망락적이동성、간헐련통성화동태탁복등동태특성사득당전응용우정태망락탁복화고정다파용량적정태수궤망락편마난이괄응DTN망락배경적망락편마전수,위차제출료일충DTN망락배경하동태수궤망락편마전수방법。해방법이마이과부신도모형위기출,근거절점적수거상태동태감측신도속솔,재신원절점구조료대신도용량적망락류도,병계산화예측당전망락다파용량,최후근거다파용량적변화동태확전화재전수궤망락편마방안,실현 DTN 망락배경하수거적동태망락편마전수。방진결과표명,상비전통적고정다파솔편마방법,동태수궤망락편마방법강저료수거적평균전체연지,제고료수거투체솔。
With the dynamical features of mobility, intermittent connectivity and dynamic topology in delay tolerant net-work (DTN), the static random network coding methods become difficult to adapt to the applications in DTN environ-ment. For working out this problem, a dynamic random network coding transfer method (DRNC) was proposed. Based on the Markov channel model, it first computed the transmit speeds of every network channel according to the receive data states of nodes, and then constructed the network flow graphic with channel capacities at the source node, calculated and forecasted the current network multicast capacity, after that, the random network coding scenario was extended and tai-lored according to the multicast capacity to transmit data packages under DTN environment. The simulation results show that, compared with the traditional random network coding method with fixed multicast rate, the dynamic random net-work coding method has reduced the average latency of data packages and increased the delivery probability.