Bluetooth Data Points
- 1. On Mobile Bluetooth Tags Dmitry Namiot Lomonosov Moscow State University dnamiot@gmail.com Manfred Sneps-Sneppe Ventspils University College manfreds.sneps@gmail.com FRUCT 2015
- 2. Hyper-local data sharing. β’ A new approach for hyper-local data sharing and delivery β’ Based on the discoverable Bluetooth nodes β’ User-defined data associated with network nodes β’ Network proximity for Bluetooth About
- 3. Contents Introduction Bluetooth tags Bluetooth Data Points Data persistence models Use cases
- 4. Introduction β’ Location in LBS systems β do we really need it? β’ How can we replace the location? β’ Network modules as the most widely used sensors β’ Network proximity: Bluetooth (Wi-Fi) distance
- 6. Related works IF Access_Point with SSID CafΓ© IS visible AND RSSI (signal strength) is within the given interval THEN {activate some predefined content for mobile users}
- 7. Bluetooth Data Points β’ Bluetooth node in discoverable mode β’ Bluetooth node as a tag β’ Reuse existing Bluetooth nodes β’ Mobile Bluetooth nodes: cars, phones
- 9. Data persistence β’ Tagβs ID -> content β’ MAC-address as a key β’ Key-Value model β’ Apache Accumulo as a basic storage β’ Cache, based on Bloom filter
- 10. Use cases β’ Retail β information, coupons β’ Personal classifieds β’ Indoor information systems (e.g., campuses, museums, etc.) β’ Public events β personal advertising and check-ins β’ Information systems in transport β’ Smart Cities
- 11. Conclusion β’ A new another approach for hyper-local data sharingA new another approach for hyper-local data sharing and deliveryand delivery β’ Our model is based on discoverable Bluetooth nodesOur model is based on discoverable Bluetooth nodes β’ The discoverable data-hubs (Bluetooth Data Points)The discoverable data-hubs (Bluetooth Data Points) allow customers to associate any user-defined dataallow customers to associate any user-defined data with the programmatically created wireless networkwith the programmatically created wireless network nodesnodes β’ A distributed store of localized dataA distributed store of localized data β’ A special mobile application (context-aware browser)A special mobile application (context-aware browser) or service (in case of M2M applications)or service (in case of M2M applications) β’ Data will βfollowβ mobile nodesData will βfollowβ mobile nodes
- 12. About us International team: Russia - LatviaInternational team: Russia - Latvia ((Moscow βMoscow β Riga β VentspilsRiga β Ventspils).). Big history of developingBig history of developing innovative telecom and software services,innovative telecom and software services, international contests awardsinternational contests awards Research areas are:Research areas are: open API for telecom,open API for telecom, web access for telecom data,web access for telecom data, Smart Cities,Smart Cities, M2M applications, context-aware computingM2M applications, context-aware computing..