Location Sensing (Inference)

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Presentation transcript:

Location Sensing (Inference) CS492B proposal 2005.11.3 이영기, 배진석

Contents Definition of location sensing Motivation Ubiquitous computing Location-based computing Location sensing system Requirements Possible technologies Technology examples Expected results and plans

Location-Sensing ? Locating the exact position of moving objects (end users, mobile devices)

Motivation (Ubiquitous Computing) Ubiquitous applications Collect context or environmental information Process the collected information Deliver useful services First step of most ubiquitous applications is collecting context information Location will be significant information for future ubiquitous services

Motivation (Location-aware Computing) Outdoor Indoor CDMA 802.11 WiFi GPS. RFIDs, beacons Moving Objects Location Data Location data filters Location-based services The location is an important context that changes whenever the object moves Location-aware services allow to offer value-added service to the user, depending on their current geographic position and will be a key feature of many future mobile applications

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

Technologies Outdoor Indoor GPS, triangulation in cellular network RFIDs Ultra-wideband 802.11 timing 802.11 signal strength Many low-power 802.11 access points Many low-power Bluetooth sensors

Technologies: Wireless LAN Timing and signal strength

Technologies: Ultrasonic pulses and radio signals Active Bat ultrasound time-of-flight measurement can locate Bats to within 9cm of their true position for 95 percent of the measurements Cricket Ultrasonic time-of-flight and a radio frequency control signal Lateration and proximity techniques Decentralized scalability Listener Beacon

Technologies: RFIDs LANDMARK and SpotOn

Expected Results What to do Additional Work Extensive survey A Seminar and a survey paper Additional Work Implement one of the location inference system and demonstrate New location sensing system design

Plans Date Category Contents 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 wireless LAN based technologies 11.24~11.30 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