enabling location specific real time mobile applications
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Enabling Location Specific Real-time Mobile Applications Ravi Kokku, Karthik Sundaresan, Geoff Jiang NEC Laboratories America, Princeton 1 Trends in the Mobile Networking Domain Ubiquity of Mobile Devices Services and Verizon approved


  1. Enabling Location Specific Real-time Mobile Applications Ravi Kokku, Karthik Sundaresan, Geoff Jiang NEC Laboratories America, Princeton 1

  2. Trends in the Mobile Networking Domain � Ubiquity of Mobile Devices Services and Verizon approved applications Cognitive Download spectrum Open assistance access services A Weather t l N a T e � n i t w m a S e Feature-rich Mobile Devices O a r n l F e D r a e i n e q g s u o e n Social n/w Weather c Maps Social n/w y Maps � Emerging openness networks Verizon network Open – Open Services, Open Networks, Open Devices,… Verizon ATT Sprint Verizon approved devices devices Open Our objective: enable rapid deployment of mobile applications 8/26/2008 2

  3. Focus: Location Specific Real-time Applications Info B Service Info B Info A Info A C B A Mobiles themselves can act as sensors to provide updates to applications in real-time. 8/26/2008 3

  4. Proposed Approach and Challenges Framework for Location-specific real-time services Other Data Apps. mining Existing data Data svcs Repository Network provider Data collection, Service composition validation, Info. representation delivery Incentives, privacy, trust Mobile user devices 1. Design and implement the framework 2. Build a few sample applications 8/26/2008 4

  5. Related Work � Vs. P2P file sharing – Amount of information a user has to upload is inversely proportional to the number of users present at the location � Incentive design more complex � Vs. Pub-sub systems – Subscribers are also participating in publishing � incentive design, privacy, trust very important – Publishers and subscribers per location change dynamically � need highly adaptive info. gathering and delivery mechanisms � Some other related work in the proposal… 8/26/2008 5

  6. PARK-ASSI ST: Application Case Study Help each other find parking Internet 6

  7. Credit Management p(t) � 1 Pricing function is the key – Relative value of an update p(t), – Relative charge per info. delivered q(t), Time – Max. absolute value of an update: V m , 1 – Max. absolute charge for info: C m � Updates : Credit per update = V m * p(t) Time – t is time since last (set of) useful updates q(t) � Information requests: charge = C m * q(t) 1 – t captures info. recentness/confidence � Limitations (Work in Progress): Time – Update credit does not capture # of other users 1 – Users oblivious to variable credit Time 8/26/2008 7

  8. I ncentive compatible I nformation Delivery (1) Application Service Periodic (2) update uid Key Manager of Keys User � credit Information (Periodic key Generator manager generate) Credits (3) Periodic key request (uid) (1) Broadcast Information (encrypted with keys) Keys (5) (4) (6) Decrypt information with keys

  9. Summary � Enabling Location-Specific Real-time Mobile Applications – Ubiquity, resourcefulness, openness � Several interesting challenges to be addressed – Incentives, trust, information delivery,… � Approach: Develop core set of mechanisms – enable rapid deployment of such applications 8/26/2008 9

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