The document proposes tracking the spread of messages in delay tolerant mobile networks using a Kalman filter. It summarizes the existing direct delivery system and its drawbacks of long delays and inability to track spread. The proposed system applies a Kalman filter to track message spread under different forwarding schemes in order to control dissemination. It demonstrates that tracking performance is comparable between homogeneous and heterogeneous mobility models.

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Tracking Message Spread in Mobile Delay
Tolerant Networks
Abstract
We consider a delay tolerant network under two message forwarding
schemes—a non-replicative direct delivery scheme and a replicative epidemic
routing scheme. Our objective is to track the degree of spread of a message in the
network. Such estimation can be used for on-line control of message
dissemination. With a homogeneous mobility model with pairwise i.i.d.
exponential intermeeting times, we rigorously derive the system dynamic and
measurement equations for optimal tracking by a Kalman filter. Moreover, we
provide a framework for tracking a large class of processes that can be modeled as
density-dependent Markov chains. We also apply the same filter with a
heterogeneous mobility, where the aggregate inter-meeting times exhibit a power
law with exponential tail as in real-world mobility traces, and show that the
performance of the filter is comparable to that with homogeneous mobility.
Through customized simulations, we demonstrate the trade-offs and provide
several insightful observations on how the number of observers impacts the filter
performance.

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LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
EXISTING SYSTEM
In direct delivery, for instance, the source waits until it meets with the end
destination and directly delivers the message to the end destination.
DRAWBACK OF EXISTING SYSTEM
 The maximum delivery delay.
 The degree of spread of messages or malware or content, etc.

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LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
PROPOSED SYSTEM
To track the degree of spread of a message in the network. Such estimation
can be used for on-line control of message dissemination. We demonstrate the
trade-offs and provide several insightful observations on how the number of
observers impacts the filter performance.
ADVANTAGE OF PROPOSED SYSTEM
 Direct delivery, two-hop routing, epidemic routing, probabilistic routing,
single copy forwarding, and spray-and-wait routing.
 However, there exists a trade-off between the delivery delay and the usage
of network resources.
 Reduction of delivery delay requires more resources such as buffer space
and/or transmit power.

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LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
SYSTEM SPECIFICATION
Hardware Requirements
System : Pentium IV 2.4 GHz
Hard Disk : 40 GB
Floppy Drive : 1.44 Mb
Monitor : 15 VGA Colour
Mouse : Logitech
Ram : 512 Mb
Software Requirements
Operating system : Windows Family
Tools : eclipse/Netbeans
Technology Used : Java
Backend Used : SQL Server