实例介绍
【实例简介】
csma ca的算法及方真 很好 适合于相关开发人员
9 E上E8O2.15.4 CSMA/CA 71 NB NB BE 2.2 DA- CMA/CA CW BE PIB IEEE802. 15. 4CSMA/CA be am axBE. be aM ax Be be am ax be NB DA- CSMA/CA PIB mae M ax CsmaBackoff nB mae BE M ax CSmaBackoff, BE 2. NB m acm ax Csm a backoff BE B 2 DA- CSMA/CA nB 2.1 NB IEEE802.15.4 CSMAICA NB BE BE BE NB BE nB nB rml Gmax BE MAC PIB macMinbe 0. m acm abe BE IEEE802.15.4 MAC CSM A/CA 0~8. G. g< Gmin BE G> Gmax. BE Gm in gmax BE NS2 BE BE CSMA/CA BE m inbE( G BE BE NB MAC PIB m acM ax Csm a backoffs BE nB nB BE012,LG=1 be 3 4 5. I nB BE678,Ic=3 nb macM ax CSM A Backoffs CSMA DA- CSMA/CA 2.3Ns2 NS2 12 o1994-2012cHinaAcademicJournalElectronicPublishingHou'se.Allrightsreservedhttp://www.cnki.net 20 DA-CSMACA NB=0CW=2,根拓流量G计算初始BEc使BE=BE 定位退造周期的边界 吞吐量分析 一 DA-CSMA/CA D--CSMA/CA 对随枫ρ单元滩周期延迟 物理层信道评估 信道空? N 根据初始BEc计算NB自增值le使 CW=CW-1 NB=NB+le Cw-2, BE=min(BE+l, aMaxBE) Cw=0?N NB最大重传次? 0.10.20.30.40.50.60.70.80.91 分组间隔(s/ packet) 功 失败 图3DA-CSMA/CA算法流程 图4吞吐量分析 表1仿真参数 能耗分析 - DA-CSMA/CA 50m×50m O- CSMA/CA 200 0.6 CBR 0.5 0. 1s/ packet- 1. 0s/ packet CBR 32Byte 0.4 DSDⅤ Energy model 0.3 100J 0.2 31m W 712μW 0.1 1114n W 50m50m 0.10.20.30.40.50.60.70.80.91 DSDV 分组间隔(s/ packet) CC2420 图5能耗分析 Gmin gmax 1/(0. 48/ packet) 1/ (O 6s/packet) DA- CSMA/ DA- CSMA/CA 0.4,0.50.6 BE o1994-2012ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 9 E上E8O2.15.4 CSMA/CA (4):115-121 BE I DA- CSMA/CA 2007 J 2003,14(7):1282-1291. [4 Estrin D. Sensor Network Protocols[ R.s.l.: I s. n I 2002 Ieee802. 15. 4MAC M CSMA/ CA ,2005 CSMA/CA IEEE802. 15. 4MAC [D] DA- CSMA/CA 2007 802.15.4 ,2008(8):8-12 i8 IEEE Standard for Part 802. 15. 4: Wireless Medium Access Con trol and Physcal Layer Specications for Low Rate Wreless Person al Area NetworksS. 2003 BE 2007 IEEE802. 15. 4 MAC ,2009,19(12):139-142 [I Rosy d l, alagoz F C. A Survey of Mac protocols for wire [12] NS M less sensor net w orks[ J. Comm unicat ions M agazine, 2006, 44 2003. (上接第68页) wer ,2005,28(4):595-602 RSIQE [6 Aky W, Ray P, Waran N P On tology Mapping for the Inter- operability Problem in Netw ork Management[J]. IEEE Jour RSIQE nal on Selected Areas in Commun ication, 2005, 23(10): 2058 2068. [7 Doan A H, Madhavan Dom ingos P. L earn ing to Map be tween On to logies on the Semantic WebI c|// Proceedin gs of Www. neW York.usa: Acm Press 2002 : 662-673 [8 [J] 2007,33(6):191-194 SemreX 2007,2l(4):3-9 P2P ,20017(5):170-1181 [2 Lei Zh ang Know ledge Graph Theory and Structural Parsing [10] LM. The Netherlan ds: Enschede, Twente U niversity Press, [J. Com put at ional Linguis tics and C hinese language Process 2002 ing,2002.7(2):59-76 [3] Hoede C, Zhang I Word Graphs: The Third Set[C]//IIH. S.[11] Cimiano P, Pivk A, Schmidt T hieme L, et al. Learning taxo- Delugach, G Stum me Conceptu al Structures: Broadening the nomic relations from he terogeneous evidence c|// proceedin gs Basc, Proceedings of 9th Internat ional Confcrcncc on Conccp of the ECa- 2004 Workshop on Ont ology Learning and tual Structures. CA, USA: s n.. 2001: 15-27 Population. valencia, Spain: s n 1, 2004: 1-6 [4 Li Sujian, Zh ang Jian, Hu ang Xiong, et al. Semant ic Com put a [12] Amruta P, Ted P. Sense Clusters- Finding clusters that repr tion in Ch inese Question- Answering System[J. Journal of resent word senses[ C)// Proceedin gs of the 19 Nat ional Cort Com puter Science and Technology, 2002, 17(6): 993-999 f eren ce on ial Int elligence(AAA104. California, USA [s.n.],2004:1030-1031 o1994-2012cHinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 【实例截图】
【核心代码】
csma ca的算法及方真 很好 适合于相关开发人员
9 E上E8O2.15.4 CSMA/CA 71 NB NB BE 2.2 DA- CMA/CA CW BE PIB IEEE802. 15. 4CSMA/CA be am axBE. be aM ax Be be am ax be NB DA- CSMA/CA PIB mae M ax CsmaBackoff nB mae BE M ax CSmaBackoff, BE 2. NB m acm ax Csm a backoff BE B 2 DA- CSMA/CA nB 2.1 NB IEEE802.15.4 CSMAICA NB BE BE BE NB BE nB nB rml Gmax BE MAC PIB macMinbe 0. m acm abe BE IEEE802.15.4 MAC CSM A/CA 0~8. G. g< Gmin BE G> Gmax. BE Gm in gmax BE NS2 BE BE CSMA/CA BE m inbE( G BE BE NB MAC PIB m acM ax Csm a backoffs BE nB nB BE012,LG=1 be 3 4 5. I nB BE678,Ic=3 nb macM ax CSM A Backoffs CSMA DA- CSMA/CA 2.3Ns2 NS2 12 o1994-2012cHinaAcademicJournalElectronicPublishingHou'se.Allrightsreservedhttp://www.cnki.net 20 DA-CSMACA NB=0CW=2,根拓流量G计算初始BEc使BE=BE 定位退造周期的边界 吞吐量分析 一 DA-CSMA/CA D--CSMA/CA 对随枫ρ单元滩周期延迟 物理层信道评估 信道空? N 根据初始BEc计算NB自增值le使 CW=CW-1 NB=NB+le Cw-2, BE=min(BE+l, aMaxBE) Cw=0?N NB最大重传次? 0.10.20.30.40.50.60.70.80.91 分组间隔(s/ packet) 功 失败 图3DA-CSMA/CA算法流程 图4吞吐量分析 表1仿真参数 能耗分析 - DA-CSMA/CA 50m×50m O- CSMA/CA 200 0.6 CBR 0.5 0. 1s/ packet- 1. 0s/ packet CBR 32Byte 0.4 DSDⅤ Energy model 0.3 100J 0.2 31m W 712μW 0.1 1114n W 50m50m 0.10.20.30.40.50.60.70.80.91 DSDV 分组间隔(s/ packet) CC2420 图5能耗分析 Gmin gmax 1/(0. 48/ packet) 1/ (O 6s/packet) DA- CSMA/ DA- CSMA/CA 0.4,0.50.6 BE o1994-2012ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 9 E上E8O2.15.4 CSMA/CA (4):115-121 BE I DA- CSMA/CA 2007 J 2003,14(7):1282-1291. [4 Estrin D. Sensor Network Protocols[ R.s.l.: I s. n I 2002 Ieee802. 15. 4MAC M CSMA/ CA ,2005 CSMA/CA IEEE802. 15. 4MAC [D] DA- CSMA/CA 2007 802.15.4 ,2008(8):8-12 i8 IEEE Standard for Part 802. 15. 4: Wireless Medium Access Con trol and Physcal Layer Specications for Low Rate Wreless Person al Area NetworksS. 2003 BE 2007 IEEE802. 15. 4 MAC ,2009,19(12):139-142 [I Rosy d l, alagoz F C. A Survey of Mac protocols for wire [12] NS M less sensor net w orks[ J. Comm unicat ions M agazine, 2006, 44 2003. (上接第68页) wer ,2005,28(4):595-602 RSIQE [6 Aky W, Ray P, Waran N P On tology Mapping for the Inter- operability Problem in Netw ork Management[J]. IEEE Jour RSIQE nal on Selected Areas in Commun ication, 2005, 23(10): 2058 2068. [7 Doan A H, Madhavan Dom ingos P. L earn ing to Map be tween On to logies on the Semantic WebI c|// Proceedin gs of Www. neW York.usa: Acm Press 2002 : 662-673 [8 [J] 2007,33(6):191-194 SemreX 2007,2l(4):3-9 P2P ,20017(5):170-1181 [2 Lei Zh ang Know ledge Graph Theory and Structural Parsing [10] LM. The Netherlan ds: Enschede, Twente U niversity Press, [J. Com put at ional Linguis tics and C hinese language Process 2002 ing,2002.7(2):59-76 [3] Hoede C, Zhang I Word Graphs: The Third Set[C]//IIH. S.[11] Cimiano P, Pivk A, Schmidt T hieme L, et al. Learning taxo- Delugach, G Stum me Conceptu al Structures: Broadening the nomic relations from he terogeneous evidence c|// proceedin gs Basc, Proceedings of 9th Internat ional Confcrcncc on Conccp of the ECa- 2004 Workshop on Ont ology Learning and tual Structures. CA, USA: s n.. 2001: 15-27 Population. valencia, Spain: s n 1, 2004: 1-6 [4 Li Sujian, Zh ang Jian, Hu ang Xiong, et al. Semant ic Com put a [12] Amruta P, Ted P. Sense Clusters- Finding clusters that repr tion in Ch inese Question- Answering System[J. Journal of resent word senses[ C)// Proceedin gs of the 19 Nat ional Cort Com puter Science and Technology, 2002, 17(6): 993-999 f eren ce on ial Int elligence(AAA104. California, USA [s.n.],2004:1030-1031 o1994-2012cHinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 【实例截图】
【核心代码】
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