本文關(guān)鍵詞：無線充電設(shè)備能量受限的WRSNs周期性充電規(guī)劃　出處：《電子測量與儀器學(xué)報》2017年07期 　論文類型：期刊論文

  更多相關(guān)文章： 無線可充電傳感器網(wǎng)絡(luò) 無線充電設(shè)備 能量受限 周期性充電 充電路徑

【摘要】：研究無線充電設(shè)備(wireless charging equipment,WCE)的充電能量和行駛能量均有限的情況下使用WCE為傳感器節(jié)點周期性充電問題。對于每一個充電周期,旨在最大化充電周期時間的同時最小化WCE充電和行駛能量的總消耗值,以最小的WCE能量消耗功率保證無線可充電傳感器網(wǎng)絡(luò)(wireless recharging sensors networks,WRSNs)永久性工作下去。通過分析傳感器節(jié)點能量約束和WCE行駛及充電約束,建立以最小化WCE能量消耗功率為優(yōu)化目標(biāo)的優(yōu)化模型。充電問題為NP-Complete問題,使用混沌粒子群算法(chaos particle swarm optimization,CPSO)求解優(yōu)化問題得到WCE充電路徑和節(jié)點充電時間,并設(shè)計了由2種數(shù)據(jù)路由和3種節(jié)點分布類型組合成的6種WRSNs仿真場景,與基本遺傳算法(genetic algorithm,GA)對比,其收斂速度至少提升了1倍。
[Abstract]:Wireless charging equipment is studied. WCE is used to periodically charge sensor nodes under the condition of limited charge energy and driving energy. For each charging cycle. The aim is to maximize the charging cycle time while minimizing the total consumption of WCE charging and driving energy. Wireless recharging sensors networks is guaranteed with minimum WCE power consumption. Through the analysis of sensor node energy constraints and WCE driving and charging constraints. An optimization model with the objective of minimizing the power consumption of WCE is established. The charging problem is a NP-Complete problem. Chaos particle swarm optimization is used in this paper. The WCE charging path and node charging time are obtained by solving the optimization problem, and six WRSNs simulation scenarios are designed, which are composed of two data routes and three node distribution types. Compared with basic genetic algorithm (GA), its convergence rate is at least doubled.
【作者單位】： 合肥工業(yè)大學(xué)計算機(jī)與信息學(xué)院;安全關(guān)鍵工業(yè)測控技術(shù)教育部工程研究中心;
【基金】：國家自然科學(xué)基金(61370088) 國家國際科技合作專項項目(2014DFB10060)資助項目
【分類號】：TN929.5;TP212.9
【正文快照】： 1引言無線傳感器網(wǎng)絡(luò)(wireless sensors networks,WSN)作為信息獲取的重要手段之一,受到廣泛關(guān)注,已有學(xué)者提出了WSN檢測目標(biāo)的定位算法[1]、WSN野外監(jiān)測系統(tǒng)通信協(xié)議的研究[2]、WSN中的數(shù)據(jù)路由策略[3-4]及MAC層協(xié)議設(shè)計[5]等研究成果。WSN的能量問題一直是限制其廣泛應(yīng)用的

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本文編號：1388099