CS 6501ECE 6501 Io T Sensors and Systems

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CS 6501/ECE 6501 Io. T Sensors and Systems September 18, 2017 Brad Campbell –

CS 6501/ECE 6501 Io. T Sensors and Systems September 18, 2017 Brad Campbell – bradjc@virginia. edu http: //www. cs. virginia. edu/~bjc 8 c/class/cs 6501 -f 17/ 1

PIPENET: A Wireless Sensor Network for Pipeline Monitoring • Ivan Stoianov, Lama Nachman, Sam

PIPENET: A Wireless Sensor Network for Pipeline Monitoring • Ivan Stoianov, Lama Nachman, Sam Madden, Timur Tokmouline • IPSN 2007 2

Water pipe leaks contribute to non-negligible water loss • 5 -10% of potable water

Water pipe leaks contribute to non-negligible water loss • 5 -10% of potable water produced is lost in transmission • Treated and pumped water that generates no revenue 3

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What is their approach? 5

What is their approach? 5

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Can they detect leaks? 12

Can they detect leaks? 12

Real time monitoring? 13

Real time monitoring? 13

Sensor lifetime? • “ 50 -62 days” • But, 2 m. A sleep current

Sensor lifetime? • “ 50 -62 days” • But, 2 m. A sleep current at the time 14

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ALPS: A Bluetooth and Ultrasound Platform for Mapping and Localization • Patrick Lazik, Niranjini

ALPS: A Bluetooth and Ultrasound Platform for Mapping and Localization • Patrick Lazik, Niranjini Rajagopal, Oliver Shih, Bruno Sinopoli, Anthony Rowe • Sen. Sys 2015 16

Indoor Localization • Multiple categories • Inertial sensors based • Fingerprinting based • Lidar

Indoor Localization • Multiple categories • Inertial sensors based • Fingerprinting based • Lidar based • Custom infrastructure • Dedicated tags • Existing devices 17

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z La et a Ti zik l. Qu m et e an a tit

z La et a Ti zik l. Qu m et e an a tit Cam Do l. m ec Gm pbe ain b. H ll et In al. t Si ran m on av Kl et a ip p l. Ch et a en l. SP Zen et IR ge al. IT n Na et vi al. ga E Sy li tion m as in et gt on al. e Zo t al u. Pi et a rk l. le W t al. u Ba et a ta l. e Qi t al u. et al Ni ko Na. de vi m x De et or al. a e M Ku t al irs o. he et ka al ri. et al. Ta ta he nc Sa Localization Error (m) 2015 Microsoft Indoor Localization Competition 25 5 0 22, 99 20 15 11, 24 10 1, 37 1, 63 1, 9 0, 2 0, 31 0, 39 0, 6 0, 739 0, 78 2, 6 5, 6 4, 67 4, 92 3, 5 3, 65 3, 93 4, 22 4, 31 7, 39 8, 24 Team 19

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Y Axis Goal: be accurate at each measurement point X Axis Origin Point (0,

Y Axis Goal: be accurate at each measurement point X Axis Origin Point (0, 0)

Three key challenges 1. Accurate localization 2. Easy setup 3. Handle non line-of-sight cases

Three key challenges 1. Accurate localization 2. Easy setup 3. Handle non line-of-sight cases well 22

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How good is good enough? 25

How good is good enough? 25

Tradeoff between usability, deployment, accuracy, cost, reliability 26

Tradeoff between usability, deployment, accuracy, cost, reliability 26

Project papers • 2 pages, bring two copies to class next Monday (September 25,

Project papers • 2 pages, bring two copies to class next Monday (September 25, 2017) • Should convey: • What is your idea? Why is it important? Who will care if it succeeds? • What is your hypothesis? • What other approaches exist? Why are they insufficient? • Some related work. • What might the design for a solution look like? • Any format, but eventually will need to be in acmart. cls 27

CS 6501ECE 6501 Io T Sensors and SystemsCS 6501ECE 6501 Io T Sensors and Systems
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