M OBILE P HONE S ENSOR N ETWORKS O PPORTUNISTIC D ATA D ISSEMINATION

(1)

C

ONTEXT

A

WARENESS in

MPSN

s

M

OTIVATION &

O

BJECTIVES

E

XPERIMENTAL

S

ETUPS

S

IMULATION

R

ESULTS

S

PATIOTEMPORAL

P

ERIODICITY

A

WARE

R

OUTING

O

PPORTUNISTIC

D

ATA

D

ISSEMINATION

IN

M

OBILE

P

HONE

S

ENSOR

N

ETWORKS

O

KAN

T

ÜRKEŞ

o.turkes

_@

utwente.nl

A

CKNOWLEDGMENTS

R

EFERENCES

C

ONCLUSION

&

F

UTURE

W

ORK

Opportunistic communications

is practical only when

networks can make inferences

on the circumstances and

intermittent connectivities.

Simulation Tests

Opportunistic Packet Forwarding Schemes in

mobile phone sensor networks

Hybrid Architectures utilizing P2P communications, mesh networks, mobile/fixed infrastructures, etc.

Heterogeneous Network Models including Mobile Ad Hoc Networks & Delay-Tolerant Networks



Ubiquity



Variety



Sensing



Processing



Storage



Memory

Learn

Interpret

Predict

User profiles Device specs Current info Sensor info Schedules Encounters Own status Others’ status Network status Environment Routines, periods Event Detection Routing Dissemination

Cooperate

Communicate

Knowledge oracles [Jain et al. 2004]

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ΔRj = 20 Xj = 70 °ρ = Low

Weekly sets

Trajectory prediction

_Comparison

We present a periodicity awareness model [1] which relies on introspective

spatiotemporal observations. In this model, hourly, daily, and weekly locations of mobile

entities are being tracked to predict future periodicities. In this regard, the model can give

insights for any type of ICMN objectives without requiring any global network knowledge.

Real Experiments

T h e

O N E

Mobile mesh network setup with Google Nexus 7 tablets

Experiments in the Opportunistic Network Environment (ONE) simulator

on periodicity awareness with

• Spatiotemporal data

• User profile and device specs

• Network data

• Encounter data

• Multimedia data

Random Shortest Path Map Based Movement

with Point of Interests (POIs)

Several network setups (building, campus, city, etc.)

Work described in this poster is supported by the Dutch

National Program, Commit (Project 8, SenSafety), and is

partially funded by the RECONSURVE project funded by

ITEA2 and Agentschap NL. The author conveys his gratitude

to Hans Scholten and Paul Havinga for their supervision

during his research at the Pervasive Systems Research

Group, University of Twente.

utilizing 802.11 Ad Hoc mode with

• Centralized TCP, UDP communication

• Distributed TCP , UDP communication

tests on

• Streaming performance

• Routing performance metrics

• Periodicity awareness model

Similar setup and tests for a delay-tolerant network

Sensing & learning

[1] Turkes, O., Scholten, H., & Havinga, P. Introspection-based Periodicity Awareness Model for Intermittently Connected Mobile Networks. In Proceedings of the 4th International Conference on Mobile, Ubiquitous, and Intelligent Computing. Springer (2013).

[2] Conti, M., Das, S. K., Bisdikian, C., Kumar, M., Ni, L. M., Passarella, A., & Zambonelli, F. Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber–physical convergence. Pervasive and Mobile Computing, (2012) 8(1), 2-21.

[3] Wirtz, H., Heer, T., Backhaus, R., & Wehrle, K. Establishing mobile ad-hoc networks in 802.11 infrastructure mode. In Proceedings of the 6th ACM workshop on Challenged networks. ACM (2011) 49-52.

[4] Pelusi, L., Passarella, A., & Conti, M. Opportunistic networking: data forwarding in disconnected mobile ad hoc networks. Communications Magazine, IEEE, (2006) 44(11), 134-141.

[5] Bellavista, P., Corradi, A., Fanelli, M., & Foschini, L. A survey of context data distribution for mobile ubiquitous systems. ACM Computing Surveys, (2012) 44(4), 24.

Environment, Self, and Activity [Schmidt et al, 1999]



Investigating long- and short-term routines and behaviors of mobile phone carriers



Utilization of several context types, e.g. multimedia, network and user data, environmental inferences



Deriving a mathematical model for context aware routing in mobile phone sensor networks



Testing performance for the presented objectives: Event detection, routing and dissemination

