MobEyes: Smart Mobs for Urban Monitoring with

a Vehicular Sensor Network

Aditya Wagh

Importance of Evidence Collection

Present Systems are inadequate◦ Closed Circuit TV

Scalability issues + Centralized operation

Untapped vehicular resources

Issues with Evidence Collection

Vehicular Ad Hoc Networks

Sensors placed on cars◦ Highly mobile◦ Relaxed constraints on computing power, storage

capacity and power consumption

Massive number of vehicles+ nodes = large coverage

An Introduction to VANETs

Less vulnerable to attack

Scalable

Multiple sensors might be tracking a Target

In this case, VSN is built on top of VANET (basic communication capability)

Advantages of Mobile Nodes

Sensors deployed on vehicles

Collect data and process locally

Summary Repository

Summary Collection

MobEyes System Requirements

Bloom Filtering

Police vehicles broadcast Bloom signatures

Other vehicles compute missing packets

One vehicle will reply with necessary packets

Police vehicle will respond with ACK carrying list of received packets

On repeating this 5 times, the packet loss due to false positives is 10^(-12)

Summary Harvesting

Vehicles have 802.11 connectivity 11 Mbps Radio range: 100 – 300 meters Speed: 10 m/s Real map of Westwood 2400 x 2400 Real Track model used

Performance Evaluation

Presents an opportunistic and decentralized approach to evidence collection / monitoring

System is shown to be scalable up to thousands of nodes

VANET implementation is still pending and will take over a decade once these systems are put into production

Summary of MobEyes

Thank you for listening