location sensing (inference) team2-cs492 proposal

8/13/2019 Location Sensing (Inference) Team2-CS492 Proposal

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Location Sensing (Inference)

CS492B proposal

2005.11.3

이영기, 배진석


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Contents

Definition of location sensing

Motivation Ubiquitous computing

Location-based computing

Location sensing system Requirements

Possible technologies Technology examples

Expected results and plans


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Locating the exact position of moving objects (endusers, mobile devices)


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Motivation(Ubiquitous Computing)

Ubiquitous applications

Collect context or environmental information

Process the collected information

Deliver useful services

First step of most ubiquitous applicationsis collecting context information

Location will be significant informationfor future ubiquitous services


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Motivation(Location-aware Computing)

The location is an important context that changes whenever theobject moves

Location-aware services allow to offer value-added service to

the user, depending on their current geographic position and willbe a key feature of many future mobile applications

Outdoor

Indoor

CDMA

802.11 WiFi

GPS. RFIDs, beacons

MovingObjectsLocation Data

Location data filtersLocation based services


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Requirements of Location System

Affordability Client cost + infrastructure cost

Resource requirements Limited memory, computational capabilities, and power

Privacy Hide users’ location

Portability Fast evolution of mobile devices

Precision Granularity that a system is capable of measuring

Accuracy Percentage of the time a known level of precision is

reached


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Technologies

Outdoor

GPS, triangulation in cellular network

Indoor

RFIDs

Ultra-wideband

802.11 timing

802.11 signal strength

Many low-power 802.11 access points

Many low-power Bluetooth sensors


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Technologies: Wireless LAN

Timing and signal strength


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Technologies:Ultrasonic pulses and radio signals

Active Bat

ultrasound time-of-flightmeasurement

can locate Bats to within9cm of their true positionfor 95 percent of the

measurements

Cricket

Ultrasonic time-of-flightand a radio frequency

control signal

Lateration and proximity

techniques Decentralized scalability


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Technologies: RFIDs

LANDMARK and SpotOn

a b c

d e f

g h i

g k l

RF

Reader1

RF

Reader2

Four

Nearest

tracking

tag


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Expected Results

What to do

Extensive survey

A Seminar and a survey paper

Additional Work

Implement one of the location inference

system and demonstrate New location sensing system design


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Plans

11.4~11.10 Outdoor

sensing

GPS, cellular network (e.g.

E911/E112, Place Lab)

11.11~11.16 Indoor

sensing

active badge(AT&T), active bat

cricket(MIT)

11.17~11.23 Indoor

sensing

wireless LAN based technologies

11.24~11.30 Indoor

sensing

RF-based systems(RADAR,

Pinpoint, SpotOn, LANDMARK)11.30~12.6 Commercial

systems

commercial systems, other state-

of-the art technologies

12.7~ seminar, survey paper

location sensing (inference) team2-cs492 proposal

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