改進(jìn)粒子群算法優(yōu)化低功耗自適應(yīng)集簇分層的路由算法
發(fā)布時(shí)間:2018-02-26 04:23
本文關(guān)鍵詞: 無(wú)線傳感器網(wǎng)絡(luò) 低功耗自適應(yīng)集簇分層路由算法 粒子群優(yōu)化算法 生存時(shí)間 出處:《激光雜志》2014年12期 論文類型:期刊論文
【摘要】:針對(duì)LEA低C功H算法的簇頭分布不合理、網(wǎng)絡(luò)能耗不均的問題,在耗自適應(yīng)集簇分層路由算法。首先將分割線的選擇LE問A題CH轉(zhuǎn)協(xié)議的基礎(chǔ)上,提出了一種改進(jìn)粒子群算法優(yōu)化化成帶約束的非線性優(yōu)化問題,然后利用粒子群算法求解,并針對(duì)粒子群算法的不足進(jìn)行相應(yīng)的改進(jìn),最后采用仿真實(shí)驗(yàn)測(cè)試算法的性能。仿真結(jié)果表明,相對(duì)于其它改進(jìn)LEACH路由算法,本文算法有效提高了網(wǎng)絡(luò)的能量利用率,能夠?qū)崿F(xiàn)節(jié)點(diǎn)之間的能耗均衡,使無(wú)線傳感器的網(wǎng)絡(luò)生存時(shí)間得到延長(zhǎng)。
[Abstract]:In order to solve the problem of unreasonable cluster head distribution and uneven network energy consumption in LEA low C power H algorithm, a lossy adaptive cluster hierarchical routing algorithm is proposed. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed to solve the nonlinear optimization problem with constraints, and the PSO algorithm is used to solve the problem. The simulation results show that compared with other improved LEACH routing algorithms, the proposed algorithm can effectively improve the energy efficiency of the network and achieve energy balance between nodes. The network lifetime of wireless sensor is extended.
【作者單位】: 上海電機(jī)學(xué)院;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(編號(hào):61372058) 遼寧省高等學(xué)校優(yōu)秀人才支持計(jì)劃項(xiàng)目(編號(hào):LR2013012)
【分類號(hào)】:TN929.5;TP212.9
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本文編號(hào):1536507
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