sospptclass - Mobile Networking Research Workshop...

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Unformatted text preview: Mobile Networking Research Workshop By: Mobile Networking Laboratory (NOMADS group)   Presentation Topics 1.  Friend Finder Application 2.  3.  4.  5.  Architecture SOS – Emergency and Alert messaging system Trace Processing – How and possible Usage Profile ­Cast Application architecture Google Earth Simulation of user Density Distribution on UF ­ Campus   School and College campuses are facing a perceived threat of violent crime and abuse attacks.   The current emergency, alert and public safety systems take centralized approaches and lack the essentiality to provide localized rescue services.   Sending On ­Demand Stress Signal (SOS) application as an on ­campus emergency and alert service that relies on localized responses.   This system sends distress signals to few trusted nodes using Bluetooth and WiFi.   Decentralized approaches of multi ­sensor devices (like iPhones), which are capable to connect in more than just one ways   exploited for personal safety.   Localized services based application.   tap local and surrounding help based on mutual trust and friend relationships Scanning Time 16 14 Time(seconds) 12 10 8 6 4 2 0 0 10 20 30 40 Distance(meter) 50 60 70 80 Format size vs Connection + Transfer Time 16 14 Time(seconds) 12 10 8 6 4 2 0 0.5 1 10 30 Size (Kilobytes) 50 70   As the message size increases. It takes longer to transfer the complete message   We have established an SOS Message format which is 184 bytes in size, we have observed very low transfer times over a range of 0 – 60 meters. Connection Time(1st Hop) 25 Time(seconds) 20 15 10 5 0 0 10 20 30 Distance(m) 40 50 60 70 80   Successful transfer of SOS Message up ­to 60 meters can be achieved in less than 5 seconds.   Beyond 60 meters, the time taken to establish a connection increases a lot due to increased interference Expected Delivery (1st Hop) 40 35 Time (seconds) 30 25 20 15 10 5 0 0 10 20 30 40 Distance(m) 50 60 70 80   Up ­to 60 meters, we can achieve successful communication within 15 seconds of time.   Proposed application is efficient for SOS message transfer up ­to 60 meter range. Connection Time(1st & 2nd Hops) 50 45 40 Time(seconds) 35 30 25 1st Hop 2nd Hop 20 15 10 5 0 5 10 20 Distance(m) 30 40 50 60 70 75   That basic metrics like scanning time etc., take the same time for both 1st and 2nd Hop.   SOS Message up ­to 60 meters can be achieved in less than 15 seconds Expected Delivery (1st & 2nd Hops) 80 70 Time(seconds) 60 50 40 1st Hop 2nd Hop 30 20 10 0 5 10 20 30 Distance(m) 40 50 60 70 75   overall increase in the delivery time from 1st Hop to 2nd Hop Delivery is almost double   Up ­to 60 meters, we can achieve successful communication within 25 seconds of time and thus, our application is efficient for SOS message transfer up ­to 60 meter range. 14 Connection Time 12 Time (sec) 10 8 Wi ­Fi 6 Bluetooth 4 2 0 5 10 20 30 40 Distance (m) 50 60 70 75 35 File Transfer with Node Motion 30 Time (sec) 25 20 Under 5 Miles/Hr 5 ­10 Miles/Hour 15 10 ­15 Miles/Hour 15 ­20 Miles/Hour 10 5 0 5 10 20 30 40 Distance (m) 50 60 70 75 The hardware interface provides connectivity with available radio technologies on the device.   Current Implementation  ­ Bluetooth     Trust model is a rule ­based classifier that recognizes Bluetooth encounter and assigns them into various classes of trust. 1.  Location and vicinity information of Bluetooth encounter 2.  Tags that define the level of trust with an encountered device. These tags are similar to ranks and status quo of a person, i.e. doctors, security personnel 3.  Duration, frequency and clock time of the encounter 4.  Devices encountered from the contact address books; and 5.  Activity based encounters, which describes the circumstances when Bluetooth encountered happened. Start Time Location/AP Duration 306722 314127 314885 375121 549427 554523 833145 837923 902333 903857 907948 915513 95 136 2 57 57 95 147 57 109 126 57 69 7404 758 1651 8277 5096 3687 4778 1200 1524 4091 3628 1444   Generating Association Matrix   Encounter Matrix   Google Earth Location Density Maps   Hourly, Weekly, Daily… Usage of Users   ….. ...
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