本文關(guān)鍵詞：基于Lyapunov優(yōu)化的時(shí)變無(wú)線傳感網(wǎng)路由研究　出處：《傳感技術(shù)學(xué)報(bào)》2017年05期 　論文類型：期刊論文

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【摘要】：針對(duì)無(wú)線傳感網(wǎng)應(yīng)用中監(jiān)測(cè)環(huán)境具有隨機(jī)性和不可預(yù)測(cè)性等因素使得節(jié)點(diǎn)感知速率通常是時(shí)變的且某些時(shí)刻會(huì)超出鏈路容量的實(shí)際問(wèn)題,設(shè)計(jì)了一種時(shí)變路由算法。在該算法中,將時(shí)變感知速率下的路由問(wèn)題建立成以時(shí)均的網(wǎng)絡(luò)能耗與丟棄感知數(shù)據(jù)代價(jià)的加權(quán)和最小為目標(biāo)的隨機(jī)優(yōu)化模型,并利用Lyapunov優(yōu)化技術(shù)求解該模型,進(jìn)而得到一種路由策略來(lái)實(shí)時(shí)決策每條鏈路上的數(shù)據(jù)流量以及由于節(jié)點(diǎn)感知速率持續(xù)超出鏈路容量而不得不丟棄的數(shù)據(jù)量。進(jìn)一步,討論感知數(shù)據(jù)不被丟棄的條件,建立目標(biāo)函數(shù)與感知信息最大傳輸時(shí)延之間的權(quán)衡關(guān)系。最后,通過(guò)仿真實(shí)驗(yàn),驗(yàn)證了本文算法在能耗、感知數(shù)據(jù)的丟棄量及傳輸時(shí)延之間的均衡關(guān)系。還在不同的最大數(shù)據(jù)感知速率下,比較了本文算法與AVE算法的性能。
[Abstract]:According to the actual problems of environmental monitoring applications in wireless sensor networks with random and unpredictable factors such as the rate of nodes is usually time-varying and some of the time will exceed the link capacity, the design of routing algorithm for time variable. In this algorithm, the time-varying routing problem under the establishment of a perception rate when the energy consumption of the network and the weighted data is discarded cost aware and minimize the stochastic optimization model, and use Lyapunov technology to solve the optimization model, and a routing strategy to real-time decision on each link of the data flow as well as node perception rate consistently exceeds the link capacity and the amount of data had to be discarded. Further. Discuss the perception of data will not be discarded, a trade-off between the objective function and the maximum transmission delay of sensing information. Finally, through simulation experiments, this paper verified the calculation In the equilibrium relationship between energy consumption, sensing data discarded and transmission delay. The maximum data rate is still perceived under the different performance of the algorithm and AVE algorithm are compared.

【作者單位】： 浙江警察學(xué)院計(jì)算機(jī)與信息技術(shù)系;
【基金】：NSFC-浙江兩化融合聯(lián)合基金項(xiàng)目(U1509219)
【分類號(hào)】：TN929.5;TP212.9
【正文快照】： 無(wú)線傳感器網(wǎng)絡(luò)WSNs(Wireless Sensor Networks)作為物聯(lián)網(wǎng)的“末梢神經(jīng)”,是一種綜合信息采集、處理和傳輸功能于一體的新型網(wǎng)絡(luò)信息系統(tǒng),在環(huán)境監(jiān)測(cè)、智慧城市、公共安全等領(lǐng)域有著廣泛應(yīng)用前景。但通常地,WSNs節(jié)點(diǎn)的能量、通信距離和鏈路容量等資源均是受限的。在滿足鏈路，

本文編號(hào)：1395553