Taking Benefit from the User Density in Large Cities for Delivering SMS
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1 Taking Benefit from the User Density in Large Cities for Delivering SMS Yannick Léo Equipe Dante, ENS de Lyon, INRIA - FRANCE 12-13/01/2016 RESCOM, Lille Collaboration with... Carlos SARRAUTE Grandata Labs Anthony BUSSON UCBL, INRIA Eric FLEURY ENS Lyon, INRIA
2 SMS is not dead SMS are used SMS are read More services SMS are cheap
3 Context : diversification COMMUNICATION POSSIBILITIES ARE MORE & MORE DIVERSIFIED CELLULAR NETWORK INTERNET Short Message Service Voice call Instant Messaging AD HOC MOBILE NETWORK Peer-to-peer
4 Context : ad hoc mobile network VEHICULES DRONES PHONE USERS SIMILARITIES : - structure - mobility - challenges - protocols DIFFERENCIES : - scale - speed - density - constrains
5 Context : mixing networks + VEHICULES DRONES PHONE USERS SIMILARITIES : - structure - mobility - challenges - protocols DIFFERENCIES : - scale - speed - density - constrains
6 Context : diversification COMMUNICATION POSSIBILITIES ARE MORE & MORE DIVERSIFIED CELLULAR NETWORK + INTERNET AD HOC MOBILE NETWORK POTENTIAL OF MIXING CELLULAR & Short Message ServicePHONE USERS NETWORK IN BIG CITIES Peer-to-peer Voice calls Instant Messaging Data by bluetooth
7 Outline : our work + What we do 0. Use real trace : 2 months in Mexico City 1. Temporal and spatial analysis of SMS 2. Measure the potential of the cellular + phone user network 2'. by proposing basic protocols for delivering SMS What we do not do We do not propose an implementation & an estimation of energy consumption, this is a first estimator of the mixing cellular-ad hoc network potentiality.
8 Properties & Usage : SMS ubiquity DENSITY COVERAGE Number of phones per states LOCALITY HUMAN MOBILITY
9 Properties & Usage HUMAN MOBILITY
10 Mobile data sets : Description Mexico city MEXICO 01 MAR Mexico City 91M users 170M calls with GEO M users 70M SMS APR 45M calls with GEO 20M SMS
11 Mobile data sets : Geolocalization SIMPLIFICATIONS 92 % Internal SMS 775 base stations 45M calls with GEO 20M SMS How to geolocalized SMS? Mexico City No hierachy! -30 mn +30 mn SMS with geo
12 Mobile data sets : Geolocalization SIMPLIFICATIONS 92 % Internal SMS 775 base stations 1,5M SMS with geo 45M calls 20M SMS with GEO origin 1,5M SMS with geo destination Mexico City No hierachy! -30 mn +30 mn SMS with geo
13 Data Analysis: Temporal Number of SMS per hour Average distance in hops of SMS per hour Average distance of SMS in km Variable Quite constant Quite constant -/+ = = Temporal fluctuations: is the activity signal periodic?
14 Data Analysis : Temporal Empirical Mode Decomposition (EMD) # SMS special events HIGH daily period LOW RESIDUAL
15 Data Analysis : Spatial Not uniform! More hops in center Greater in suburbs
16 Protocols Simple protocols for delivering SMS by using density, locality & mobility?
17 Protocol 1 : description schema 1 property used based on local property of SMS notes - source & destination are geolocalized - no routing algorithm
18 Protocol 2 : description schema 2 properties used based on local property of SMS based on density of phone users based on mobility of packers notes - source & destination are geolocalized - no routing algorithm - underestimation of the results because 90 % packers are missing
19 Protocol 1 & 2 : results Protocol 1 Protocol 2 Number of hops efficiency per hours / per delay global hours of the day global hours of the day SMS are very local 53% of SMS delivered by 30 minutes 54% of SMS delivered with only 2 hops During rush hours, efficiency reach 77% Small temporal influence Packers helps for delivering 51% of SMS
20 Conclusion : contributions & future work 1. Study of temporal activity : day cycles and event detection 2. Spatial and temporal analysis : density, locality & mobility 3. Experiments on real trace in a big city such as Mexico City 4. Ideas for no routing protocols with several properties : - local protocol - no hop protocol - possibility of mixing protocol 1 & 2 1. Propose an implementation & quantity of energy consumption 2. Try other protocols
21 Conclusion : contributions & future work 1. Study of temporal activity : day cycles and event detection Thank you! 2. Spatial and temporal analysis : density, locality & mobility 3. Experiments on real trace in a big city such as Mexico City Questions, feedbacks, ideas? 4. Ideas for no routing protocols with several properties : - local protocol - no hop protocol yannick.leo@ens-lyon.fr - possibility of mixing protocol 1&2 1. Propose an implementation 2. Quantity the gain or lost of energy and time
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