博士論文 - Future University Hakodate Academic Archive
Contents
1. E SI SI2. M2M System Integration M2M me M2M
3. SI 51 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems X MIM 4 3 E 4 4 81
4. 0 ee M2M M2M IP RE M2M SNS Social Network Service M2M M2M 2014
5. 5 SMS CE SIM IMSI International Mobile Subscriber Identity VM M2M SIM eee M2M SMS c SMS 1 Xd ALU Fy 7 ARE 1 5 5 SMS
6. Well Known Port Global IP Well Known Port 5 5 J M2M Well Know Port 24 Listen Port X Listen Port telnet ntp DNS Listen
7. Well Known Port 7 357 I771 M2M 1 10 1 20 M2M SI M2M M2M M2M MVNO M2M M2M
8. lt E M2M M2M E 16 7 I8ll9 10 M2M M2M M2M M2M M2M M2M M2M M2M M2M OF AL E 1 1 M2M 3 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems a aay
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10. PP MM CHS MM M2M 4 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems b M2M VPN M2M MAM M2M M2M
11. M2M 2014 6 M2M 2 b CMA LIER MNO MVNO 2 MVNO A 504 250Kbps NTT I931 1 0 05
12. GPS M2M IP SMS L IP IP SMS M2M 33 Doctoral Thesis at Future University Hakodate 2014 Research on
13. 93 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 1 L Atzori A Iera and G Morabito The internet of things A survey Elsevier Computer Networks vol 54 no 15 pp 2787 2805 Oct 2010 2 Ke M2M IN 2018 113 36 37 42 3 G Wu 8 Talwar K Johnson N Himayat and K D Johnson M2M From mobile to embedded internet IEEE Commun Mag Vol 49 no 4 pp 86 438 April 2011 4 GPS s 1 Vol J84 B No 12 pp 2082 2091 5 IM2M Vol 96 No 5 pp 299 304 2013 6
14. 7 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems X 1 3 M2M 14 M2M 19 2 1 4 a M2M 3 GPS Global Positioning System RO
15. 21 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems M2M Device M2M Gateway g WIDE AREA NETWORK M2MApp cpu M2M App b i M2M Service _ M2M App M2M ateway esa servi ayer apabilt M2M NSCL i Capability TE Device Ceci x vate Application DA M2M Devi Mz App M2M App Network NM Application REFERENCE POINTS Capability gt DSCL NA E 2 5 ETSI TC M2M 63 Device Gateway Domain i Network Domain DA GA MSBF D GM2M Node Network M2M Node Communication Modules Core Network Connection Core Core Network A Network B B 2 6 ETSI TC M2M 63 22 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems application application domain management device domain Smart Smart Smart authentication authorization Device Device Device and accounting protocol protocol protocol AAA SD container convergence convergence convergence PoA container nodecontainer servercontainer network management core IP
16. M2M b M2M c M2M
17. LOW M2M 66 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 824MHz 008777 Beh em 0 350 35 gt 10 995 997 T T r 20 295 290 70 285 5 280 4 80 215 85 270 90 265 95 260 100 255 105 250 7 110 245 415 Lr 200 4 ep a 195190185 175 170165 E 4 319 824MHz 885MHz 345 505 LENT 335 25 30 200 L lieo 195 190495 eo 175170 165 E 4 20 885MHz 67 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 1920MHz 5 os XN
18. SOT HF pie oO CK SO MM CH M2M IETF CoAP Constrained Application Protocol 66 IETF Websocketl66 6LoWPAN IPv6 over Low power WPAN 68 MQTTI69 I70 CoAP M2M HTTP CHS Websocket HTTP eLoWPAN IPv6 711 M2M
19. 92 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems xA SSSI IT M2M KE IDY FIRER SET RR IDY
20. 1 1 M2M Wa T 0 M2M polars 2012 2005 5 R 91 64 2012 RFID GPS M2M RFID 2005 2012 9 GPS 10 d 3 1 RFID GPS Eq 3 2 M2M
21. BM 3 14 M2M LAL M2M 1 M2M Lee eS 48 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems eseee docomo 5 54 G gos pr secure02 blue shared server net QC re Con seeee docomo LTE 16 02 go 89 m amp secure02 blue shared server net CG Runner FUIT Au m s Runner LA EO TIME 2014 04 25 OO 2014 04 26 ep 05 53 no CNTASS E a I a 137 Eur suum at n cmi os BT d The L e a
22. PDA Personal Digital Assistant SNS Social Network Service EMBok 1 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems LAN Bluetooth M2M M2M M2M
23. 90 4 14 4 15 15mm 4 16 15mm 6 824MHz 800MHz i 885MHz 800MHz EBR 1920MHz 1900MHz 1980MHz 1900MHz 2110MHz 2100MHz 2170MHz 2100MHz 61 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems dd 4 1 mmo um V 1 2A 1 4A 3 8A 1 8A 824MHz 840MHz 800MHz 869MHz 885MHz
24. Wi Fi ZigBee 2 1 UMTS HSPA 1441 ARCOD M2M X 1 1 1 2 MNO Mobile Network Operator V MVNO Mobile Virtual Network Operator MVNE Mobile Virtual Network Enabler M2M
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26. LBL TH 12 Doctoral Thesis at Future University Hakodate 2014 l n Research on the optimization method for M2M systems M2M System Integration M2M OE REIT A BE 4 d
27. BA Ola SMS Z A Aves DS BT REL 3 8 SMS xe Maat XE SIRS ANT 41 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems seee2 docomo 16 54 100595 p 1 bind 1 090 bind Success qpssleeptime 30 gpssleeptime Success gprs bmobile ne jp 80 bmobile spd bmobile gprs Success url public html gpstracker php url Success 1S 3 8 SMS ck zB IP bind SMS bind Success KE IP SMS TP a Bind b GPS c APN EU POST d POST PHP
28. M2M C5 54 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems M2M
29. Cla PDA 46 PHS Windows Mobile PDA W ZEROS3 2006 PDA NIT Paty Microsoft tt Windows Mobile PDA SI 15 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems
30. 114 2004 7 89 CQ 2008 100 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 20 ARE Sonnet d W Y 24 6 27 http www sonnetsoftware co jp support tips antenna pdf 2013 3 H 91 M2M 2L http www icr co jp newsletter global_perspective 2012 Gpre2012102 ht ml 2014 6 92 RGNEABS IM2M Vol 96 No 5 pp 360 364 2014 l93 NTT Online https www nttdocomo co jp charge packet pake_hodai_w2 about index h tml 2014 6 94 HEMS BEMS CEMS FEMS 7 m A http tocos wireless com jp tech HEMS html 2013 3 H y 101 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization meth
31. 5 3 SI M2M M2M 2 Ne Fee RF OAR DED mA M2M 5 1 5 2 IP Private IP Address Global IP Address Private IP Address LM JNNIO Gian RESUME Iq rca Global IP Address IP ICANN The Internet Corporation for Assigned Names and Numbers JPN
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33. PDA SEA Sales Force Automation PDA PDA PDA PDA PDA PDA PDA Research In Motion 3G BlackBerry
34. 427 Ek 70 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 4 3 M2M 1 HUAWEI EM701 HUAWEI EM770J NTT docomo UM 01HW KE LAN x3 RS232 x 1 DIN x1 WiFi IEEES802 11n 1T1R WiFi WEP 64 128bit WPA WPA2 DHCP DMZ IE MAO 256 BSSID AW 5W 3G WiFi WAN LAN 0 50C 30 70 C 10 95 WERZA L 71 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems
35. M2M M2M M2M M2M M2M Hj M2M 4 M2M M2M M2M M2M M2M HTTP Hypertext Transfer Protocol TCP Transmission Control Protocol TCP IP M2M SMS Short Message Service IP L
36. M2M 10 000 2014 2 HEMS BEMS 94 1 M2M IDT M2M AML ICT 91 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems CHO
37. WAN XR 1 1 M2M PAN LAN WAN M2M E12 GU 16 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems Ze 2 1 51
38. 2014 22 12 2016 ee I13 I14 I15 R 1 1 M2M ICT 5 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 2020 3 2E 8 100 15 GSMA GSM Association Embedded SIM SIM 16 M2M 2020 110
39. ETSI TC M2M 20 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems API Application Programming Interface ETSI TC M2M 2 5 ETSI M2M M2M WN G D SCL SCL mila mid dla TIA TIA TR 50 62 M2M TIA SDC Smart Device ETSI 2 7 TR 5
40. M2M M2M M2M System Integration 5 1 M2M 330 M2M M2M M2M M2M SI M2M 1 1 MNP Mobile Number Portability MNO MVNO M2M
41. 1 0 05 1 2MB 504 8 77 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems GPS 1 260 30 1 1 24 2 880 x260 748 800 1 30 21 4MB POST test320 gpstracker php HTTP 1 1 Host www innoxdesign com Content Length 111 Content Type application x www form urlencoded charset UTF 8 IMEI 861311000484724 amp Satellite 4 amp Time 200214 17 50 08 amp Lat 35 69044 amp Lon 139 69212 amp Speed 1 00 amp Head 1 amp Voltage 4 222 21MB
42. TP Well Known Port Global IP Private IP 90 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems MM SI M2M MM C 16 A 13 B 3 2013 3 4 28 M2M
43. M2M 171 1 1 M2M 18 69075 230 3 B 2010 E 100 3 2008 75 8000 2010 122 3 20073 18 6 20 10 7800 H22 8 http www airia or jp number index html E H22 http www jbpi or jp sub_id 4 amp category_id 236 amp dir_no TOP_ROOT 160 236 e emrensee menor ccce H21 E http www jvma or jp information 2_01 html Be a ake H
44. GB K SYS 50 190 I42 11 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems M2M 43 1 5 ICT M2M M2M M2M 2 M2M M2M L
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46. ae 2012 7 IM2M 24 pp 239 240 2012 8 GE IM2M M2M 24 E pp 241 244 2012 9 M2M M2M A 24 E pp 245 248 2012 10 M2M 24 pp 249 253 2012 11 12014 M2M IoT X2M 2014
47. SI M2M d 4 28 M2M IoT M2M M2M 74 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems X 428 75 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 5 M2M SI M2M M2M p M2M 9
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54. IP Destination Unreachable M2M 4E 87 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 3 TCP UDP 1 P E PPP x TORU YO Oe 5 5 TCP UDP 88 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 5 5 M2M IP SIM LBL M2M POR Well Known Port Global IP Private IP
55. a 4 5 4 6 RER El 4 5 55 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems X 4 6 56 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 43 B 4 7
56. 89 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 6 ICT M2M SI 2 4 1 M2M SI M2M IP M2M E SI IP SMS SMS SI
57. M2M 5 HCL M2M LT TP M2M M2M 6 ETC 13 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 2 M2M M2M M2M M2M M2M 3 M2M M2M M2M M2M SI
58. SI M2M 4 M2M XE M2M 2 M2M M2M M2M 2 11 26 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems system Integration B 2 10 M2M System Integration M2M 45 I2M M2M 2 11 27 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems cag M2M ATE Cla SI mr
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63. Vol 96 No 5 pp 324 329 2013 52 WiFiAlliance http Www wri fi org 53 Bluetooth SIG https www bluetooth org 54 ZigBee Alliance http www zigbee org 55 Z Wave Alliance http www z wavealliance org 56 ANT Alliance http www thisisant com m ane 2011 11 H 58 RBE 25 3 012 2014 59 ITU International Telecommunication Union http www itu int en Pages default aspx Jun 2014 60 K Chang A Soong M Tseng and Z Xiang Global wireless machine to machine standardization IEEE INternet Comput vol 15 no 2 pp 64 69 March April 2011 61 ETSI TS 102 690 V1 1 1 Machine to machine communications M2M Functional architecture Oct 2011 62 TIA TIA 4940 005 Smart device communications Reference architecture Dec 2011 63 oneM2M oneM2M TR 0002 Architecture Analysis Part 1 V 0 2 0 98 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems Architecture Analysis Part 1 Analysis of architectures proposed
64. a MNO MNO Gite 451 a MVNO MVNO MNO MNO wil 14 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 45 a MVNE MVNE MVNO MVNO 45 2 1 1990 PDA Personal Digital Assistant PDA
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74. IM2M Vol 96 No 5 2013 A4 3GPP The 3rd Generation Partnership Project http www 3gpp org 45 MVNO 2013 9 46 http cl sd tmu ac jp komachi papers nlp2011 ime pdf 2014 97 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 47 IDY WPAN WMAN IP 2008 Vol 21 No 3 BA0711 03 0915 1060 08 2008 3 H 48 PAN LAN MAN WAN 2006 2 H 19 DY 1000 9 2014 2 50 PHS 2014 8 H 51 WRS SRAC M2M
75. SIM 2 SIM 12 Well Known Port 5 3 5 4 3G Base Station AN E Lenovo ThinkPad X61 NIZ 3G Antenna diia 3G Module USB Analyzer Router HUAWEI TOTALPHASE IDY EM770 USB480 iR660B Stabilized power supplies DAIWA PS 140Ya 5 3 81 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems IP Address IP Address IP Address Test date 2012 06 18 21 39 2012 06 19 10 06 Result Total 100 packets 5 1 Global IP Well Known Port me 8 82 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems Others 83 Doctoral Thesis at Future University Hakodate 2014 Research on t
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83. 18 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 43 Tl tt 2005 3 2006 3 2007 3 2008 3 2009 3 270103 20113 20123 20133 20143 E 2 3 EEV a 7v38s583 50 E y T T T lt 35mm ms Ma ud semm ya 20000 eee C oo si M2M E 2010 10000H 7 S 2009 a 2008 RNR SOOO M gt 7 29 z x ELD 2008 2009 E 2 4 57 2010 n n on 2 3 MVNO MVNO MNO MNO 19 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems
84. Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 2 SIM URL ORE APN APN URL POST URL 2 UserName APN APN 3 POST PHP POST PHP POST PHP URL 4 60 60 3 5 nen SIM SIM SMS Mer AET ASE XD Me 1 1 SI TP SMS
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86. M2M 2014 8 Doctoral Thesis Research on the optimization method for M2M systems By Kazuaki Honda Graduate School of Systems Information Science Future University Hakodate Aug 2014 Abstract Machine to Machine M2M which is garnering attention in the field of information and communications technology ICT is a broad term for the exchange of information between devices that are connected to a network Recently the term Internet of Things IoT may be used interchangeably with M2M In IoT sensors are installed in furniture appliances and a wide variety of other things that exist in the real world which are then connected to the Internet There are expectations for the application of M2M in many different fields such as agriculture forestry fisheries healthcare welfare and education by utilizing it in combination with the extensive mobile phone networks already in wide use as well as Short range wireless communication technology where the development of new technologies is progressing On the other hand there are quite a number of issues that must be resolved in regards to the utilization of M2M in such fields Here we shed light on the issues currently faced by M2M and aimed to resolve issues through optimizat
87. MM M2M BAC 5 M2M LTE TP M2M 28 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems
88. b Omm D 2 NET inam 10 4s ih aus D824MHz 2 885MHz 8 1920MHz 4 1980MHz 1 200 140 185490 1701655 THS 180 175 X 4 10 0mm 59 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems a 15mm 9 1045 20 on 824MHz 885MHz 3 1920MHz 4 1980MHz sA E 200 1680 192 1804 cu iab 1751 301655 E 4 11 15mm b 25mm E D824MHz m 885MHz 81920MHz E w 01980MHz L z A EN M 10 E 4 12 25mm 15mm kot 60 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems
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91. http www kanto meti go jp seisaku smacom index html Jun 2014 36 TKR REKE JARRE HEMS ASN2014 9 pp 35 36 2014 37 kd ENTERPRICE M2M RCS2011 294 pp 153 158 2012 38 M2M Vol 96 No 5 pp 330 335 2013 39 UKAE FAEH n ENTERPRICE M2M ASN2013 41 pp 271 276 2013 40 TENTERPRICE M2M Vol 114 No 65 pp 19 22 2014 1 O4 JE ee MR OK w 6e de EX X RR CD 4 http www meti go jp policy energy_environment smart_community doc smartcommu pdf Jun 2014 42 21 2009 4E 43
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94. Vol 96 No 5 pp 341 346 2014 73 Shanghai SIMCom Wireless Solutions Ltd SIM5320 Hardware Design V1 03 2011 4F HA NTT 2014 4 B 75 ROA Holdings Inc B2C M2M 2010 76 Business Report Online BRO 5 1 000 M2M l lii 99 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 2012 11 77 23 d 78 M2M http www nokiasiemensnetworks co jp hirameki pdf 07_m2m pdf 2013 3 M2M 1 M2M
95. 2012 2 80 A M2M 4 A P2014 20 pp 5 10 2014 81 FOMA 1 1 Page2 NTT 2006 82 A 4 AP2013 47 July 2013 83 fA 4 B 1 65 September 2013 SA H 4 B 1 158 March 2014 85 2001 86 B Vol J91 B No 9 pp 886 900 2008 87 pp 344 CQ 2005 88
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97. IEEE802 11 11 Wi Fi Bluetooth ZigBee Z wave ANT Alliancel52 SIGI53 Alliance 54 Alliancel55 Alliancel56 Network Peer2Peer Peer2Peer Peer2Peer Peer2Peer Topology Star Star Star Tree Star Tree Mesh Mesh 1 000mW 100mW mW mW ZigBee Home Home Sport Automation Automation Fitness Smart Meter Device 2 2 M2M WAN 2 1 2 2 PHS M2M PHS USB UART 2 1 PHS 17 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 2 2 3G B 2 3
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99. Research on the optimization method for M2M systems SI 3 2 SI IP SMS 1P MNO MVNO M2M F M2M M2M GPS A 3 3 M2M HTTP TCP IP IP SI
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103. 44 M2M 2 824MHz 885MHz 1920MHz 2170MHz AT 824MHz 1 0dBi 885MHz 2 1dBi 1920MHz 0 0dBi 2170MHz 2 0dBi 20C 90 C IPX6 B 4 25 72 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 3G Google DNS IP 8 8 8 8 3e LER BUT ge GC ILS SE eR a 3G HUAWEI EM770 DIOI F M2M PaT Lenovo Xl ThinkPad X201 X 4 26 4 27 M2M 73 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems X 4 5 4 5 M2M GSI
104. WHO World Health Statistics 2014 2014 26 2014 22 MEDIAS 25 12 2013 2011 25 25 6 2014 25 South Miami Hospital eICU LifeGuard https baptisthealth net en facilities south miam1 hospital pages eicu lif eguard aspx May 2014 26 iMPak Health Meridian Health and 1MPak Health Tap T Mobile to Deploy Near Field Communication Technology for Mobile Health Application 95 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems http www impakhealth com uploads IMPak 20SleepTrak 20press 20 release FINAL pdf May 2014 27 KORE Telematics KORE Telematics Chosen by Arizona Utility to Provide Wireless Services for Large Scale Automated Metering Expansion http www koretelematics com press release kore telematics chosen by arizona utility to provide wireless services for large scale automated me tering expansion May 2014 28 Greentechmedia AT amp T SmartSynch Cellular Smart Meter Partnership Lands First Utility http www greentechmedia com green light post att smartsynch cellular smart me
105. 1920MHz 1980MHz 2GHz 2110MHz 2170MHz mm cas sm sm We wa wm ac Wku mkameHs 62 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 42 ERRELE Mit 140mm x 25mmx 25mm SS 63 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems L j 4 13 6 50 2 50 66 00 55 00 E 4 14 4 15 E 4 16 64 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 4 4
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107. 2 H 94 Doctoral Thesis at Future University Hakodate 2014 y Research on the optimization method for M2M systems 12 M2M 2012 2012 13 ROA Holdings Inc B2C M2M lt 2010 Il14 24 M2M 2012 15 12014 M2M IoT ERRET A X2M 2014 2 16 EME M2M Vol 96 No 5 pp 365 370 2013 1 17 GSMA Association GSMA PUBLISHES EMBEDDED SIM SPECIFICATION FOR MACHINE TO MACHINE M2M SERVICES Dec 19 2013 http www gsma com newsroom gsma publishes embedded sim m2m se rvices Jun 2014 18 NTT 22 2010 19 a 2004
108. 82170MHz 110 115 70 5 85 90 95 160 175 170 195 195 190 185 X 4 18 Ed 4 19 R 4 24 800MHz Ed 4 19 4 20 60 300 10dBm LBL 0 60 300 EO 5dBm 2GHz FOROR Bd 4 21 4 24 120 300 60 120
109. Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 1 MaF TY NIZ A MMT it RE RS232C LAN DIO tits AO DE le ae X 4 1M2M M2M I 4 2 B 4 3 M2M E ner SI BA HEX
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112. Private IP Cla Google NHN LINE Well Known Port Private IP GOATS RIA HIG Cy eu SEA O ele by 85 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems M2M 24 365 Ah 12 1 Global IP 5519 43 1 128 1 86 80 2580 Private IP 30 300 Well Known Port Global IP Private IP
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114. Well Known Port telnet 1 24 714 GY 872MB 86 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 5 5 Global IP Well Known Port 2012 6 10 1 19 49 2012 6 11 1 19 49 165955 3 6977849 5 2012 6 11 1 21 18 2012 6 11 2 00 30 4328 815 7 a gt 10 gt Well Known Port b gt gt Well Known Port BL Well Known Port
115. for consideration by oneM2M Jul 2013 l64 JI ER Vol 114 No 65 pp 133 137 2014 65 25 66 Z Shelby K Harke C Bormann and B Frank Constrained application protocol CoAP draft ietf core coap 12 Oct 2012 67 Fette and A Melnikov The websocket protocol draft ietf hybi thewebsocketprotocol 17 Spt 2011 68 G Montenegro N Kushalnagar J Hui and D Culler Transmission of IPv6 packets over IEEE 802 15 4 networks IETF TFC 4944 Sept 2007 69 ENE FEB IBM PROVISION No 64 Winter 2010 pp 81 88 70 IM2M Machine to Machine 2018 1 71 D S D Haggerty D E Culler TCP 6LoWPAN USN2009 62 pp 69 74 Jan 2010 72 IM2M 1
116. the optimization method for M2M systems 34 GPS Global Positioning System IP SMS CPU Cd 3 3 E GPS CPU X 3 3 SIMCom SIM5320J 3 3 GPS CPU 1 SIM5320J 3 3 3 4 34 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems d 3 3 SIM5320 TE 73 3 3 4 2V 2mA lt 2A
117. 0 a d nk POA E 2 8 a PoA E 2 8 b M2M 2012 7 M2M 7 SDO Standard Development Organization oneM2M oneM2M SDO ETSI XD ARIB HA ATIS CCSA TIA TTA E TTC HA International Telecommunication Union M2M ITU TU T M2M 1 Fa Focus Group ASC SG Study Group 159
118. 2 1 a J 7 10m 20m PAN Personal Area Network 100m LAN 48 M2M PDA TERSA TIE CHRL PDA PAN Bluetooth LAN WiFi 2011 2 5 8 2014 F 2 58 1 8 10 2018 2 2014 2 1 12 5 49 2014 3 139 552 000 M2M 9 597 500 50 1 3 M2M M2M
119. 20 8000 x 3 s http www meti go jp committee meterials2 downloadfiles g100831a07j pdf 4700 ARE me ix 300m 1 Be 12 http www mlit go jp river toukei_chousa index html 463 ha 25 m 1 1818510075 http www stat go jp data nihon 07 html 1 6690 POS 13 M2M M2M Machine To Man Machine To Management Machine To Machine M2M CA Man Management Machine M2M XI 1 3 6 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems a
120. 2M M2M IP M2M 8 SI M2M M2M ICT ICT M2M IoT 13 1 1 1 2 1 3 1 4 1 5 2 2 1 2 2 2 3 2 4 2 5 2 6 3 3 1 3 2 3 0 3 4 3 0 3 6 4 4 1 4 2 4 3 4 4 4 5 5 5 1 5 2 0 9 1 3 5 M2M ESLER EO 6 M M PEE GP 8 ee 12 MOM AF AOR E E eonen aeo Eo a a 14 E e A E A T T UU TT 15 Eo RID 17 MV NO 8E AIL bai HERI ES 19 ME 20 M2M as co es Oe Oe ere s 25 UR CGD SN EE 26 28 CO 28 M2M uiuere 31 32 2 34 EIUS EE E MEME M MAMMA AM AM MIN 41 oy 48 MOM Se UE E uode teme HM
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125. e placed directly on or in the proximity of metals However the radiation property and impedance of communications antenna are affected by metal which causes performance degradation For this reason in order to maintain the designed performance there is a need to select the optimum communications antenna model on the basis of findings as well as ensure accurate placement that is tailored to its environment M2M devices often have differing specifications and are used in differing environments and the communications antennas that are part of such devices are susceptible to the external environment As such very careful M2M antenna model selection and placement is required Although consideration by individual specification and environment system integration is useful as a method for resolving issues related to individual solutions its utilization is far from having general versatility In fact it is proving to be an obstacle issue that is hindering the spread of M2M Here the discussion 1s based on the assumption that a mechanism that does not require specialized knowledge and can be easily used at any location by anyone will lower the barrier toward the adoption of and facilitate the spread of M2M use Wherein apart from the approach to extract high performance from individual solutions we report on a communications antenna that we devised and developed from the perspective of optimization Steady performance can be secured with th
126. he optimization method for M2M systems i 5 2 Global IP SS RN iei m 8 Wei sm 4 mm om mas m 3 20 make ww 31 84 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems Global IP Private IP Test date 2012 09 06 18 31 2012 09 07 13 08 Result Total 8 packets 5 3 Private IP omen 5 4 Private IP FE Global IP SIM Well Known Port 76 Private IP Well Known Port 1 Google NHN Japan NHN Corp Global IP Well Known Port h CH
127. ion methods taken from the perspective of system integration SI and maintenance which are common to the environment Specifically of those elements that constitute M2M we focused on those M2M systems with the most differing specifications or that are impacted significantly by their environment The respective issues related to the constituents of M2M systems M2M devices M2M lines and M2M interfaces were organized into a four quadrant matrix and considered We first focused on M2M interfaces An M2M interface is the communication method that is carried out by connecting an M2M line toa network Different communication protocols are used according to the service that is being provided In the case of M2M that is implemented in places where there is no human intervention or at remote locations and require individual servicing by remote control there is a need to establish a communication method by M2M interface in advance The configuration of almost all current communication methods makes use of an Internet protocol such as Hypertext Transfer Protocol HTTP or Transmission Control Protocol TCP Here we propose an optimization method that utilizes Short Message Service SMS and Internet protocol Its efficacy was verified through demonstration tests carried out after development of a prototype equipped with a Global Positioning System GPS receiver Next we discuss M2M antennas used by the devices In many cases M2M antennas ar
128. is communications antenna even when it is placed close to metal Thirdly we discuss M2M lines There are multiple M2M lines such as by Internet protocol type and billing type in existence for each telecommunications carrier or network Systems are in operation through which fixed rate data SIMs for smartphones can be easily selected However unlike lines for general consumers where usage 1s focused around Internet browsing email and text communications social networking services SNS etc lines with a narrow bandwidth are often used to reduce costs in the case of M2M because the communication takes place between devices with no human intervention What is more because individual human maintenance 1s difficult there 1s a need to ensure that the transmission of data will be carried out reliably and that influx of unnecessary data will be prevented When considering such characteristics of M2M guidelines related to the selection of the M2M line would normally be required However as of 2014 there have been no such guidelines established giving rise to problems that trigger failures after the adoption of an M2M line Therefore consideration was made here on the method for the selection of optimum M2M lines with research and analysis made of differences by Internet protocol type and billing type As a result of attempting to resolve issues related to the aforementioned three M2M constituents using optimization as the method from the pe
129. obile Country Code e LBS Marker Voltage mV POST PHP 2 GPS 4 URL SMS 1 2 3 4 5 6 Location Data a ar es320 gpstrackerphp PHP URL wwwinnoxdesigncom URL SSD 6 GPS 39 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems b POST test320 gpstracker php HTTP 1 1 Host www innoxdesign com Content Length 111 Content Type application x www form urlencoded charset UTF 8 IMEI 861311000484724 amp Satellite 4 amp Time 200214 17 50 08 amp Lat 35 69044 amp Lon 139 69212 amp Speed 1 00 amp Head 1 amp Voltag e 4222 SMS
130. od for M2M systems a PONS M2M Vol 3 No 3 pp 49 58 July 2013 b Kazuaki Honda and Osamu Takahashi Improvement of The Communication Stability for Wireless M2M Router System Proceedings of International Workshop on Informatics IWIN 2013 pp 177 181 September 2013 Yoshitaka Nakamura Masashi Sekiya Kazuaki Honda and Osamu Takahashi An effective power saving method in Geo fencing service using temperature sensors Proceedings of the IEEE International Conference on Consumer Electronics Taiwan IEEE ICCE TW 2014 pp 139 140 May 2014 c M2M A amp Vol2012 CDS 5 No 15 pp 1 8 2012 10 10 PASSE 76 4V 3 pp 1 2 2014 3 102 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems
131. optimization method for M2M systems M2M are B 1 5 M2M M2M HEMS Home Energy Management System BEMS Building Energy Management System CEMS Cluster Community Energy Management System XEMS 36 M2M I87 38 P 39 I40 vet CEMS T s IAF ERANI PEE zr Lr duE ESSERE E Wnhio225LtRmM EESTE TITTI Entte re 8e0ne8 1 5 pes MOM 41
132. ou arr re ated cna estnancncvanensvepapenanchaendy 60 4 19 a a a refs oak TN 64 414 FFA ea aesectcseseeuhusetiepalieseuepatieueietatieveuedeticosuededt 64 1 64 64 65 4 18 ii 66 4 19 824MHz i 67 4 20 885MHz kik 67 4 21 1920MHz i 68 4 22 1980MHz il 68 4 23 2110MHz Mi 69 4 24 2170MHz ik 69 425 AT CUu Cee ST VI Lasst cabe e tus p bon 72 0 73 73 VCR NT TS ER 75 106 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems M EO a a a 80 5 2 i 80 SEE doa ooo lt ii lt lt c i i 81 GONE Loo TM E 82 0 5 TTCPIUDP T OAA WM LEE S ttsctitetust eruta N 88 107 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems R 1 1 M M 18 6 12 M2M GE A fi 25 26 27II281 29 301 811 321 331 341 s 10 DA IE ee 1 es ZT E i 17 2 2 SIM MVNO
133. rspective of system integration and maintenance we succeeded in enhancing the versatility of M2M and lowering the obstacles to adoption Our hope is that this research will contribute to the popularization of M2M and play a part in the further development of the continually expanding ICT field Keywords ICT M2M IoT Optimization ICT Information and Communication Technology M2M Machine To Machine iX IoT Internet of Things II1II2 M2M 3 M2M SI System Integration
134. ter partnership lands first 3256 May 2014 29 Texas New Mexico Power TNMP Completes Advanced Meter Deployment Along Texas Gulf Coast Begins North Texas Installations in Lewisville http www powerinyourhands com press_wrapup php May 2014 30 RFID JURNAL ClimateMinder Monitors Conditions at Farms Greenhouses Warehouses http www rfidjournal com articles view 5240 May 2014 31 Opto 22 Opto 22 Nokia Machine to Machine Technology Enables Monitoring of Remote Generators for Field Service Optimization http www opto tech com cn case 20studies pdf 1431_Case_Study_Broo kstone Equipment Company pdf May 2014 32 AARFID AARFID partners with Mississippi Blood Services to develop method to read up to 50 blood bag RFID tags 1n less than 2 seconds http www aarfid com index2 html May 2014 33 Texas Instruments Mississippi Blood Services Improves Product Integrity and Delivery with RFID from Texas Instruments and AARFID http newscenter ti com index php s 32851 amp item 127424 May 2014 34 M2M Vol 96 No 5 pp 354 359 2014 96 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems 35
135. u e N ARR 2014 Google ZENRIN i XU S UJ B D E BJ 3 18 UTMF2014 zasa docomo F 14 02 10095 p secureO2 blue shared server net C Runner Ep fe TIME 2014 04 28 00 00 00 2014 04 30 1400 59 CNT 64S e 2014 04 30 14 00 22 43 90210 144 67996 v3856 R h Em TR li LUE CEN im pp Google 3 14 49 Doctoral Thesis at Future University Hakodate 2014 Research on the optimization method for M2M systems BAR M2M XS SI E DAR ae M2M M2M SD KET M2M 1 Pm EmA V 7 7 ORCI Ra ea eV Ry h72 OBE M2M
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