This paper introduces a new way of delivering local messages to mobile subscribers. Our application presents a mashup from passive monitoring for smart phones and cloud-based messaging for mobile operational systems. Passive monitoring can detect the presence of mobile phones without active participation from the users. It does not require prior calibration, nor does it require mobile users to mark their own location on social networks (like traditional check-ins). Mobile users do not need to run location track applications on their phones the. At the same time, a production-based expert system built around cloud messaging allows interested parties to directly deliver their custom information to mobile users in proximity.
This paper describes a new approach to local messaging. Our application combines passive monitoring for smart phones and cloud based messaging for mobile OS (operational system). Passive monitoring can determine the location of mobile subscribers (mobile phones, actually) without the active participation of the users. Mobile users do not need to mark own location on social networks (check-in), they do not need to run on their phones the location track applications. In the same time, Cloud Messaging allows interested parties to directly deliver their information to mobile users who find themselves near a selected point. This is the main content of the service - how to combine the monitoring and notifications.
Our presentation for ruSMART-2013.
Many of modern location-based services are often based on an area or place as opposed to an accurate determination of the precise location. Geo-fencing approach is based on the observation that users move from one place to another and then stay at that place for a while. These places can be, for example, commercial properties, homes, office centers and so on. As per geo-fencing approach they could be described (defined) as some geographic areas bounded by polygons. It assumes users simply move from fence to fence and stay inside fences for a while. In this article we replace geo-based boundaries with network proximity rules. This new approach let us effectively deploy indoor location based services and provide a significant energy saving for mobile devices comparing with the traditional methods.
Our presentation for CFIC-2013. This paper describes a new model for local messaging based on the network proximity. We present a novelty mobile mashup which combines Wi-Fi proximity measurements with Cloud Messaging. Our mobile mashup combines passive monitoring for smart phones and cloud based messaging for mobile operational systems. Passive monitoring can determine the location of mobile subscribers (mobile phones, actually) without the active participation of mobile users. This paper describes how to combine the passive monitoring and notifications.
This paper describes a new approach to local messaging. Our application combines passive monitoring for smart phones and cloud based messaging for mobile OS (operational system). Passive monitoring can determine the location of mobile subscribers (mobile phones, actually) without the active participation of the users. Mobile users do not need to mark own location on social networks (check-in), they do not need to run on their phones the location track applications. In the same time, Cloud Messaging allows interested parties to directly deliver their information to mobile users who find themselves near a selected point. This is the main content of the service - how to combine the monitoring and notifications.
Our presentation for ruSMART-2013.
Many of modern location-based services are often based on an area or place as opposed to an accurate determination of the precise location. Geo-fencing approach is based on the observation that users move from one place to another and then stay at that place for a while. These places can be, for example, commercial properties, homes, office centers and so on. As per geo-fencing approach they could be described (defined) as some geographic areas bounded by polygons. It assumes users simply move from fence to fence and stay inside fences for a while. In this article we replace geo-based boundaries with network proximity rules. This new approach let us effectively deploy indoor location based services and provide a significant energy saving for mobile devices comparing with the traditional methods.
Our presentation for CFIC-2013. This paper describes a new model for local messaging based on the network proximity. We present a novelty mobile mashup which combines Wi-Fi proximity measurements with Cloud Messaging. Our mobile mashup combines passive monitoring for smart phones and cloud based messaging for mobile operational systems. Passive monitoring can determine the location of mobile subscribers (mobile phones, actually) without the active participation of mobile users. This paper describes how to combine the passive monitoring and notifications.
This paper describes a new model for accessing to local data for mobile subscribers. Our model uses Wi-Fi proximity ideas. In our concept, any exiting or even especially created Wi-Fi hot spot could be used as presence sensor that can open (discover) access for some user-generated content. In our approach we can discover hyper local data as info snippets that are valid (relevant) for mobile subscribers being at this moment nearby some Wi-Fi access point. And an appropriate mobile service (context-aware browser) can present that information to mobile subscribers. As the prospect use-cases we can mention for example news and deals delivery in malls, news feeds for office centers and campuses, Smart City projects, personal classifieds etc. Presened on BCFIC - 2012
This paper presents a new approach to hyper-local data sharing and delivery on the base of discoverable Bluetooth nodes. Our approach allows customers to associate user-defined data with network nodes and use a special mobile application (context-aware browser) for presenting this information to mobile users in proximity. Alternatively, mobile services can request and share local data in M2M applications rely on network proximity. Bluetooth nodes in cars are among the best candidates for the role of the bearing nodes.
In this paper, we discuss one approach for development and deployment of web sites (web pages) devoted to the description of objects (events) with a precisely delineated geographic scope. This article describes the usage of context-aware programming models for web development. In our paper, we propose mechanisms to create mobile web applications which content links to some predefined geographic area. The accuracy of such a binding allows us to distinguish individual areas within the same indoor space. Target areas for such development are applications for Smart Cities and retail.
We offer a new model for proactive message delivery to mobile phones. SpotEx application can use any Wi-Fi access point as presence sensor that could activate delivery for some user-generated messages right to mobile phones.
The key idea is how to associate some user-defined messages and Wi-Fi access points. As a result we can build rule-based expert system that describes delivery (or visibility) for user-defined content depending on visibility of Wi-Fi hotspots.
This paper describes a new model for accessing to local data for mobile subscribers. Our model uses Wi-Fi proximity ideas. In our concept, any exiting or even especially created Wi-Fi hot spot could be used as presence sensor that can open (discover) access for some user-generated content. In our approach we can discover hyper local data as info snippets that are valid (relevant) for mobile subscribers being at this moment nearby some Wi-Fi access point. And an appropriate mobile service (context-aware browser) can present that information to mobile subscribers. As the prospect use-cases we can mention for example news and deals delivery in malls, news feeds for office centers and campuses, Smart City projects, personal classifieds etc. Presened on BCFIC - 2012
This paper presents a new approach to hyper-local data sharing and delivery on the base of discoverable Bluetooth nodes. Our approach allows customers to associate user-defined data with network nodes and use a special mobile application (context-aware browser) for presenting this information to mobile users in proximity. Alternatively, mobile services can request and share local data in M2M applications rely on network proximity. Bluetooth nodes in cars are among the best candidates for the role of the bearing nodes.
In this paper, we discuss one approach for development and deployment of web sites (web pages) devoted to the description of objects (events) with a precisely delineated geographic scope. This article describes the usage of context-aware programming models for web development. In our paper, we propose mechanisms to create mobile web applications which content links to some predefined geographic area. The accuracy of such a binding allows us to distinguish individual areas within the same indoor space. Target areas for such development are applications for Smart Cities and retail.
We offer a new model for proactive message delivery to mobile phones. SpotEx application can use any Wi-Fi access point as presence sensor that could activate delivery for some user-generated messages right to mobile phones.
The key idea is how to associate some user-defined messages and Wi-Fi access points. As a result we can build rule-based expert system that describes delivery (or visibility) for user-defined content depending on visibility of Wi-Fi hotspots.
This paper presents a new approach for hyper-local data sharing and delivery on the base of discoverable Bluetooth nodes. Our approach allows customers to associate user-defined data with network nodes and use a special mobile application (context-aware browser) for presenting this information to mobile users in proximity. Alternatively, mobile services can request and share local data in M2M applications rely on network proximity. Bluetooth nodes in cars are among the best candidates for the role of the bearing nodes.
Combain Mobile Positioning - Mobile World Congress 2014Combain Mobile AB
Presents the cell-id and wifi based mobile positioning offer from Combain called CPS - Combain Positioning Service.
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Similar to Smart Cities Software: Customized Messages for Mobile Subscribers (20)
In this paper, we discuss educational courses for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things models introduce many new business prospects and, of course, they should be presented in the university curriculum. The purpose of the discussed educational program is to examine issues related to information and communication technologies used in Internet of Things projects and related areas based on them, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information technology, standing for such areas as Machine to Machine communications, Internet of Things, and Smart Cities.
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Smart Cities Software: Customized Messages for Mobile Subscribers
1. Smart Cities Software:
Customized Messages for
Mobile Subscribers
Manfred Sneps-Sneppe Ventspils University College
manfreds.sneps@gmail.com
Dmitry Namiot Lomonosov Moscow State University
dnamiot@gmail.com
WIFLEX 2013
2. • A new model for local area messaging based on
the network proximity.
• Our mobile mashup combines Wi-Fi proximity
measurements with Cloud Messaging.
• Passive Wi-Fi monitoring can determine the
location of mobile subscribers (mobile phones)
without the active participation of mobile users.
• Cloud Messaging delivers notifications to local
subscribers
About
4. Passive Wi-Fi monitoring
• Wi-Fi probe request
• Client (even not
connected) can send
requests to AP
• AP can analyze
requests
• We can collect MAC-
addresses for clients
5. Advantages and disadvantages
for passive monitoring
• It does not require special mobile applications
• For mobile users it works automatically and
transparently
• It is anonymous monitoring. MAC address is
used for re-identification only. It could be
replaced with some hash-code (privacy)
• It is not 100% reliable. There is no warranty
that Wi-Fi client will send probe request. Our
own experiments and references show 70%-80%
detection rate.
12. Cloud Messaging
• Cloud infrastructure
from vendor
• Google, Apple,
Microsoft, Nokia –
own cloud based
infrastructures for
notifications
• Google message: 4
Kb payload delivery
14. Key moments for Cloud Messaging
• Application registers with Cloud Messaging
• Application provides a key from Cloud
Messaging server (subscribes) to the particular
application (Sender)
• Sender saves keys and uses them later for
delivering notifications
• Key moment – subscription is activated from the
mobile application on the particular phone.
15. Key moments for mashup
• Let us extend the subscription process
• Mobile application (mobile phone, actually)
will provide a key for notification and MAC-
address for identification
• Sender can compare saved MAC-
addresses with the MAC-addresses,
collected by the passive monitoring
• Key idea: get subscribers who are nearby
at this moment
16. Key moments for mashup - 2
• Sender can deliver notifications to those,
who are nearby only.
• It is real-time detection
• MAC-address is used for the re-
identification only. So, it could be replaced
with some hash-code (privacy)
17. Use cases
• Proximity marketing
• Deliver local area messages in retail
• Hyper-local news delivery in campuses.
Tested in Lomonosov Moscow State
University
• Smart Cities information delivery
18. Proximity <> Location
• Proximity here is the network proximity.
• The location for nodes could be unknown
• The location for Wi-Fi access points could be
changed. E.g., hot spot right on the mobile phone
• Proximity based data could be more precise
(especially for indoor)
• In other words: the proposed approach could not be
replaced one by one with some geo-fence with push
notifications. Proximity is not equal to location.
19. Conclusion
• A new mashup based on passive Wi-Fi monitoring forA new mashup based on passive Wi-Fi monitoring for
mobile devices and cloud based notifications.mobile devices and cloud based notifications.
• Passive monitoring uses probe requests from Wi-FiPassive monitoring uses probe requests from Wi-Fi
specifications for detecting nearby clients.specifications for detecting nearby clients.
• Notification module uses cloud messaging (pushNotification module uses cloud messaging (push
notifications) from mobile operational systems.notifications) from mobile operational systems.
• This application does not publish location info in theThis application does not publish location info in the
social network (it is not a check-in).social network (it is not a check-in).
• Custom messages will target online subscribers inCustom messages will target online subscribers in
the nearby area only.the nearby area only.
20. About us
International team: Russia - LatviaInternational team: Russia - Latvia ((Moscow –Moscow –
Riga – VentspilsRiga – 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..
