【摘要】：針對傳感器網(wǎng)絡(luò)路由在最優(yōu)性評估過程中呈現(xiàn)的排序問題,提出了一種采用主成分策略的路由評估算法(OREPCA)。首先利用蟻群策略尋找傳感器網(wǎng)絡(luò)中的樣品路由;接著再根據(jù)實(shí)際的布網(wǎng)環(huán)境構(gòu)建出相應(yīng)的路由評價指標(biāo)集;然后對樣品路由按指標(biāo)集中各指標(biāo)出現(xiàn)的順序進(jìn)行逐項打分獲得評價指標(biāo)向量;最后借助主成分策略構(gòu)造一個傳輸路由綜合評價指標(biāo)函數(shù),從而實(shí)現(xiàn)在不同的監(jiān)測環(huán)境中對網(wǎng)絡(luò)路由的多元化評價,規(guī)避了人為選取權(quán)重因子帶來的主觀隨意性。仿真結(jié)果表明,與基于負(fù)載均衡策略的路由優(yōu)化算法及基于多目標(biāo)優(yōu)化的交互式路由算法相比,OREPCA算法能將網(wǎng)絡(luò)壽命提高14%,并能有效降低網(wǎng)絡(luò)的通信延遲。
[Abstract]:A routing evaluation algorithm (OREPCA) based on principal component strategy (PCA) is proposed to solve the scheduling problem of sensor network routing in the process of optimality evaluation. First, the ant colony strategy is used to find the sample routing in sensor networks, and then the corresponding routing evaluation index set is constructed according to the actual network environment. Then, the sample routing is graded according to the order of each index in the index set, and the evaluation index vector is obtained. Finally, a comprehensive evaluation index function of transmission route is constructed by means of the principal component strategy. In order to realize the diversified evaluation of network routing in different monitoring environments, the subjective randomness brought by the artificial selection of weight factors is avoided. The simulation results show that the OREPCA algorithm can increase the network lifetime by 14% and reduce the communication delay effectively compared with the load balancing strategy and the interactive routing algorithm based on multi-objective optimization.
【作者單位】： 河南師范大學(xué)數(shù)學(xué)與信息科學(xué)學(xué)院;西安電子科技大學(xué)數(shù)學(xué)與統(tǒng)計學(xué)院;
【基金】：國家自然科學(xué)基金資助項目(61373174,U1404105) 河南省科技攻關(guān)計劃資助項目(142102210058) 河南省高等學(xué)校重點(diǎn)科研資助項目(16A510006) 河南師范大學(xué)青年基金資助項目(2015QK02,2013QK02)
【分類號】：TN929.5;TP212.9
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本文編號：2134770