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1、第29卷第4期傳感技術(shù)學(xué)報(bào)Vol_29N0．42016年4月CHINESEJOURNALOFSENSORSANDACTUATORSApr．2016ApplicationofImprovedAdaptiveParticleSwarmOptimizationAlgorithminWSNCoverageOptimizationWUrile，HEQing，xuTongwei(CollegeofBigDataandInformationEngineering，GuizhouUniversity，Guiyang550025，China)Abstract：Aiminga
2、ttheproblemthatthecoveragerateofWirelessSensorNetwork(WSN)islowduetotheunevencoverageofnodes，amethodofcoverageoptimizationbasedonimprovedadaptiveparticleswarmoptimizationalgo—rithmisproposed．Firstly，themathematicalmodelofWSNcoverageoptimizationisestablished．Then，theevolutionaryfac
3、torandthepolymerizationfactorareintroducedintheinertiaweightcoeficientoftheparticleswarmoptimization(PSO)algorithminordertomaketheimprovedalgorithmhaveastrongadaptiveability．Andthen，thecollisionresilientstrategyisintroducedintheiterativeprocessofthealgorithminordertoovercomethewea
4、knessthattheimprovedparti-cleswarmoptimizationalgorithmiseasytofallintolocaloptimuminthelateoptimization．TheexperimentalshowsthatthenetworkcoverageratesafteroptimizationsofWSNbythealgorithminthispaperareimprovedby2％-6％com—paredwithalgorithmsinotherliteraturesandthedistributionofse
5、nsornodesismoreuniform．Therefore，itcaneffec—tivelyimprovetheperformanceofwirelesssensornetworks，isastrongapplicationcoverageoptimizationalgorithm．Keywords：wirelesssensornetwork；coverageoptimization；improvedadaptiveparticleswarmoptimizationalgo—rithm；inertiaweightcoeficient；collisi
6、onresilientstrategyEEACC：6150P：7230doi：10．39690．issn．1004-1699．2016．04．016改進(jìn)自適應(yīng)粒子群算法在WSN覆蓋優(yōu)化中的應(yīng)用吳意樂(lè)，何慶，徐同偉(貴州大學(xué)大數(shù)據(jù)與信息工程學(xué)院，貴陽(yáng)550025)摘要：針對(duì)無(wú)線傳感器網(wǎng)絡(luò)(WSN)節(jié)點(diǎn)覆蓋不均勻?qū)е赂采w率低下的問(wèn)題，提出了一種基于改進(jìn)自適應(yīng)粒子群優(yōu)化算法的覆蓋優(yōu)化方法。首先，建立WSN覆蓋優(yōu)化的數(shù)學(xué)模型；然后將進(jìn)化因子和聚合因子引入粒子群優(yōu)化(PSO)算法中的慣性權(quán)重系數(shù)，使改進(jìn)算法具有很強(qiáng)的自適應(yīng)能力；接著在算法迭代過(guò)程中引入碰撞回彈策略保
7、證粒子群的多樣性，克服改進(jìn)粒子群優(yōu)化算法在優(yōu)化后期容易陷入局部最優(yōu)的弱點(diǎn)。實(shí)驗(yàn)表明，本文算法對(duì)WSN優(yōu)化后的網(wǎng)絡(luò)覆蓋率均比其它文獻(xiàn)算法提高了2％～6％，且傳感器節(jié)點(diǎn)分布更加均勻。因此它能有效提高無(wú)線傳感器網(wǎng)絡(luò)的性能，是一種應(yīng)用性較強(qiáng)的WSN覆蓋優(yōu)化算法。關(guān)鍵詞：無(wú)線傳感器網(wǎng)絡(luò)；覆蓋優(yōu)化；改進(jìn)自適應(yīng)粒子群算法；慣性權(quán)重系數(shù)；碰撞回彈策略中圖分類(lèi)號(hào)：TP183；TP393文獻(xiàn)標(biāo)識(shí)碼：A文章編號(hào)：1004—1699(2016)04—0559—07隨著計(jì)算機(jī)網(wǎng)絡(luò)技術(shù)的迅速發(fā)展，無(wú)線傳感器夠提高網(wǎng)絡(luò)中數(shù)據(jù)的傳輸質(zhì)量，減少資源浪費(fèi)，延網(wǎng)絡(luò)(wsN)應(yīng)運(yùn)而生。無(wú)線傳感器
8、網(wǎng)絡(luò)由多個(gè)功長(zhǎng)網(wǎng)絡(luò)生命周期。能相同或不同的終端傳感器節(jié)點(diǎn)、路由器和
