一種及時(shí)可靠的無(wú)線體域網(wǎng)絡(luò)傳輸協(xié)議
發(fā)布時(shí)間:2018-06-01 03:39
本文選題:無(wú)線體域網(wǎng)絡(luò) + 可靠性 ; 參考:《傳感技術(shù)學(xué)報(bào)》2014年02期
【摘要】:無(wú)線體域網(wǎng)絡(luò)比傳統(tǒng)傳感網(wǎng)絡(luò)要求更高的數(shù)據(jù)傳輸可靠性和及時(shí)性,其可靠性屬于數(shù)據(jù)包級(jí)可靠。提出了一種及時(shí)可靠的無(wú)線體域網(wǎng)絡(luò)傳輸協(xié)議AODV-RT,該協(xié)議考慮到節(jié)點(diǎn)的存儲(chǔ)資源受限和無(wú)線體域網(wǎng)絡(luò)數(shù)據(jù)優(yōu)先級(jí),采用E2E(EndTo-End)、HBH(Hop-By-Hop)以及E2E與HBH相結(jié)合的錯(cuò)誤恢復(fù)機(jī)制保證數(shù)據(jù)傳輸?shù)目煽啃。首先在每個(gè)節(jié)點(diǎn)緩存優(yōu)先級(jí)別最高的警報(bào)信息,提供HBH錯(cuò)誤恢復(fù);其次通過(guò)在中間節(jié)點(diǎn)位置為接收信號(hào)強(qiáng)度RSSI較低的后一級(jí)節(jié)點(diǎn)緩存優(yōu)先級(jí)別較高的數(shù)據(jù)包,提供E2E與HBH相結(jié)合的錯(cuò)誤恢復(fù);最后對(duì)低優(yōu)先級(jí)數(shù)據(jù)采取E2E錯(cuò)誤恢復(fù)。性能分析與模擬實(shí)驗(yàn)表明:該協(xié)議在數(shù)據(jù)傳輸率、端到端延遲和能量消耗等方面優(yōu)于相似協(xié)議MAODV-SIM。
[Abstract]:Wireless bulk area network requires higher reliability and timeliness of data transmission than traditional sensor network, and its reliability belongs to packet-level reliability. This paper presents a timely and reliable wireless bulk area network transport protocol AODV-RT.The protocol takes into account the limited storage resources of nodes and the priority of wireless body area network data. The reliability of data transmission is ensured by using the error recovery mechanism of E2E EndTo-EndTo-EndPen (HBH- Hop-By-Hopp) and E2E combined with HBH. First, the alert information with the highest priority level is cached at each node to provide HBH error recovery; secondly, the higher-priority data packets are cached at the intermediate node location for the lower level of received signal strength RSSI. Provide E2E combined with HBH error recovery; finally take E2E error recovery for low priority data. Performance analysis and simulation experiments show that the proposed protocol is superior to MAODV-Simm in data transmission rate, end-to-end delay and energy consumption.
【作者單位】: 中國(guó)計(jì)量學(xué)院信息分院;
【分類號(hào)】:TN92
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相關(guān)期刊論文 前1條
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【共引文獻(xiàn)】
相關(guān)期刊論文 前6條
1 譚勁;張曼曼;y嚹,
本文編號(hào):1962710
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