Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet. For More Details: http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/ns2-projects/

1. Secure Continuous Aggregation in Wireless Sensor
Networks
ABSTRACT:
Continuous aggregation is usually required in many sensor applications to obtain
the temporal variation information of aggregates. However, in a hostile
environment, the adversary could fabricate false temporal variation patterns of the
aggregates by manipulating a series of aggregation results through compromised
nodes. Existing secure aggregation schemes conduct one individual verification for
each aggregation result, which could incur great accumulative communication cost
and negative impact on transmission scheduling for continuous aggregation. In this
paper, we identify distinct design issues for protecting continuous in-network
aggregation and propose a novel scheme to detect false temporal variation patterns.
Compared with the existing schemes, our scheme greatly reduces the verification
cost by checking only a small part of aggregation results to verify the correctness
of the temporal variation patterns in a time window. A sampling-based approach is
used to check the aggregation results, which enables our scheme independent of
any particular in-network aggregation protocols as opposed to existing schemes.
We also propose a series of security mechanisms

2. EXISTING SYSTEM:
Secure aggregation schemes addresses secure aggregation within the single
aggregator network topology. In this scheme proposed for aggregation in tree
network topology in which each node computes an intermediate aggregation result
accounting for all sensing data of nodes in the subtree rooted at it. All these
schemes aim to protect a single aggregation computation. Directly using these
schemes in a continuous aggregation results in individual verification for every
aggregation result in every epoch, which will incur a great communication cost
especially for continuous aggregation having a long period or high frequency.
DISADVANTAGES OF EXISTING SYSTEM:
 Negative impact on the efficiency of transmission scheduling for a
continuous data aggregation.
 These schemes also are tightly coupled with the tree topology and, thus,
unable to work with various other in network aggregation protocols.

3. PROPOSED SYSTEM:
In this paper, we propose an approach to the problem of routing around
connectivity holes that works in any connected topology without the overhead and
inaccuracies incurred by methods based on topology planarization. Specifically, we
define a cross-layer protocol, named ALBA for Adaptive Load-Balancing
Algorithm, whose main ingredients (geographic routing, load balancing,
contention-based relay selection) are blended with a mechanism to route packets
out and around dead ends, the Rainbow protocol. The combination of the two
protocols, called ALBA-R, results in an integrated solution for convergecasting in
WSNs that, although connected, can be sparse and with connectivity holes.
ADVANTAGES OF PROPOSED SYSTEM:
 To detect false temporal variation patterns in a continuous aggregation.
 Verifies the correctness of the temporal variation pattern in a time window.
 Reduce the communication cost through selective verifications of
aggregation results.
 Providing nice security properties.

4.  Able to achieve low additional energy cost and work with various in-network
aggregation protocols
SYSTEM ARCHITECTURE:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
 System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour.
 Mouse : Logitech.

5.  Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
 Operating system : Windows XP/7/LINUX.
 Implementation : NS2
 NS2 Version : NS2.2.28
 Front End : OTCL (Object Oriented Tool Command
Language)
 Tool : Cygwin (To simulate in Windows OS)
REFERENCE:
Lei Yu, Jianzhong Li, Siyao Cheng,Shuguang Xiong, and Haiying Shen,“Secure
Continuous Aggregation in Wireless Sensor Networks,” VOL. 25, NO. 3,
MARCH 2014.