Context-aware Wireless Networks: Exploiting Mobility. Andrew Leeming The University of Manchester
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1 Cntext-wre Wireless Netwrks: Expliting Mbility Andrew Leeming The University f Mnchester
2 Cntext Mtters 4 0th 201 Thurs 1 y d T Dily 0p! n! m w lderly til icing r dipis nsectetu re et met, c didunt ut lb t si r l inci nim, ipsum d tempr inim ve m d d Lrem ut sm d eiu t enim ris nisi elit, sed gn liqu. U ullmc lb irure te u n m is ti u dlre exercit cnsequt. D e cillum strud quis n velit ess mmd x e c rit in vluptte e ip u liq nde reprehe dlr in Fnc Dy A He s y dre in the ss sh fter Fri 11 th p! p rb re s mew ber her Lrem elit, s ipsum dl ed r dlre d eiusm sit met, c d te mgn quis mpr nsectetur nstr liqu. incidid dipis ud e U liquip icing unt t enim xerc d m ut lbre dlr ex e cm ittin u et in im ve llmc in rep m d lb cn nim, rehen s derit in vlu equt. Du ris nisi u t is ptte liqum velit e ute irure gnm sse c re m nim, il l ve lu d m t im bre e d min suscipit t ut l m. Ut enim crpris incidun luptte mmdi m ullm v c e n t r ti e e rcit x qu rum exe ut liquid e l eum iure st n is ve qu i m? m, nis utem esse qu lbris r? Quis te velit utu vlupt e in cnseq i u nderit q reprehe ls e g l i k l r i G l missin Shes s Dily e incidu n que t ut lb rt v lupt re et d quis lre te nstr mgn um e m. Ut e lbri nim xerc sm d m m liqu, nis ittinem cnse i ut ullm inim ve m qutu n r? repre Quis liquid e crpris s im, hend erit q uscip x e ute ui in e cmm it vlu m vel d ptte velit e eum iu i re sse q um? 1
3 Cntext Mtters 4 0th 201 Thurs 1 y d T Dily 0p! n! m w lderly til icing r dipis nsectetu re et met, c didunt ut lb t si r l inci nim, ipsum d tempr inim ve m d d Lrem ut sm d eiu t enim ris nisi elit, sed gn liqu. U ullmc lb irure te u n m is ti u dlre exercit cnsequt. D e cillum strud quis n velit ess mmd x e c rit in vluptte e ip u liq nde reprehe dlr in Fnc Dy A He s y dre in the ss sh fter Fri 11 th p! p rb re s mew ber her Lrem elit, s ipsum dl ed r dlre d eiusm sit met, c d te mgn quis mpr nsectetur nstr liqu. incidid dipis ud e U liquip icing unt t enim xerc d m ut lbre dlr ex e cm ittin u et in im ve llmc in rep m d lb cn nim, rehen s derit in vlu equt. Du ris nisi u t is ptte liqum velit e ute irure gnm sse c re m nim, il l ve lu d m t im bre e d min suscipit t ut l m. Ut enim crpris incidun luptte mmdi m ullm v c e n t r ti e e rcit x qu rum exe ut liquid e l eum iure st n is ve qu i m? m, nis utem esse qu lbris r? Quis te velit utu vlupt e in cnseq i u nderit q reprehe ls e g l i k l r i G l missin Shes s Dily e incidu n que t ut lb rt v lupt re et d quis lre te nstr mgn um e m. Ut e lbri nim xerc sm d m m liqu, nis ittinem cnse i ut ullm inim ve m qutu n r? repre Quis liquid e crpris s im, hend erit q uscip x e ute ui in e cmm it vlu m vel d ptte velit e eum iu i re sse q um? 1
4 Scenris Undergrund r Bsement Hell? 2
5 Scenris Undergrund r Bsement Hell? High-speed Trnsprt 2
6 Current Scnning Frequencies Active scns every secnds[1] Per sved netwrk (mx 16 fr Andrid) LTE Scns nce every ~5mins Wsted energy if in previus scenris 3
7 Future Adptive scnning intervl Opprtunistic ctive scns Only prbe subset f sved netwrks Seen tgether APs Predictive hndver Histricl hndvers used 4
8 Mbility Lctin Scil Interctin Pssible Cntexts Envirnmentl Usge 5
![[2] 2) Mderte - Yu re mving](/docs-images/94/119401269/images/9-4.jpg "cnsiderbly, the envirnment rund")
9 Mbility Cntext 1) Nne - Yu re nt mving nd yur envirnment is nt chnging (ignring fding etc). Scn less frequent, r nt t ll? 3) High - Yu re trvelling t high speed (reltive t the wrld). Shuld we scn t ll t these speeds? Wht but stpping t sttin?[2] 2) Mderte - Yu re mving cnsiderbly, the envirnment rund yu is chnging. Frequent scns needed. 6
10 Mesuring Mbility Optins 1. Velcity Gives us quntified metric 2. Ctegristin vi Clssifier Binry, i.e. Significnt mvement Types f mvement, e.g. Nne, mderte, high. 7
11 Mesuring Mbility Pssibilities 1. Velcity Gives us mre infrmtin Gives us quntified metric 2. Ctegristin vi Clssifier Binry, i.e. Significnt mvement Types f mvement, e.g. Nne, mderte, high. 7
12 Hw t cllect GPS Accelermeter Tringultin 8
13 Hw t cllect Nt relible indrs GPS Requires sme cnnectin Bse sttin lctins need t be knwn Accelermeter Tringultin Nisy 8
14 Hw t cllect GPS Avilbility? Accelermeter Tringultin 8
15 Integrting Accelermeters Simple integrl Right? 9
16 Integrting Accelermeters Simple integrl Right? Accelermeters re nisy Nt gd ide t integrte nise Prblem knwn but Little evidence t bck up clims 9
17 Experiment Simplified experiment Only using ne xis Orienttin knwn Burst f ccelertin t beginning Recrded verge velcity (m/s) = distnce/time Rw Accelertin Filtering Integrtin Clculte Errr 10
18 11
19 12
20 13
21 Wrking Hw d results cmpre t wlking dt? Multiple xis Cnstnt chnge f rienttin Need t fctr in grvity 14
22 Wrking Hw d results cmpre t wlking dt? Multiple xis Cnstnt chnge f rienttin Need t fctr in grvity Errr is ver 1000% predicted-expected Errr = expected 14
23 Experiment - Cnclusins Getting velcity frm ccelermeters is hrd Experimentl dt t bckup previus clims. Will clssifiers wrk better? Mybe - Sme crreltin, pply regressin Accelermeters re nt useless Repeting pttern in wlking dt (steps) Use number f steps s level f mbility? 15
24 Questins
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