Data collection multi application sharing wireless sensor networks

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DATA COLLECTION MULTI-APPLICATION SHARING
WIRELESS SENSOR NETWORKS
ABSTRACT
Data sharing for data collection among multiple applications is an efficient
way to reduce communication cost for Wireless Sensor Networks (WSNs). This
project is the first work to introduce the interval data sharing problem which is to
investigate how to transmit as less data as possible over the network, and
meanwhile the transmitted data satisfies the requirements of all the applications.
Different from current studies where each application requires a single data
sampling during each task, we study the problem where each application requires a
continuous interval of data sampling in each task. The proposed problem is a
nonlinear non convex optimization problem. In order to lower the high complexity
for solving a nonlinear non convex optimization problem in resource restricted
WSNs, a 2-factor approximation algorithm whose time complexity is Oðn2Þ and
memory complexity is provided. A special instance of this problem is also
analyzed. This special instance can be solved with a dynamic programming
algorithm in polynomial time, which gives an optimal result in Oðn2Þ time
complexity and 0(n) memory complexities. Three online algorithms are provided
to process the continually coming tasks. Both the theoretical analysis and
simulation results demonstrate the effectiveness of the proposed algorithms.
EXISTING SYSTEM
It is popular for multiple applications to share a WSN. Each node in a
network samples at a particular frequency and the sampled data is transmitted to

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the base station through multi-hops. All the applications prefer to receive all the
sampled data.
DRAWBACK OF EXISTING SYSTEM
 The communication cost is high
 Network lifetime will be reduced.
PROPOSED SYSTEM
A data sampling algorithm for each node, such that the sampled data can be
shared by as many applications as possible.
The proposed problem is a nonlinear non convex optimization problem. In
order to lower the high complexity for solving a nonlinear non convex
optimization problem in resource restricted WSNs.
ADVANTAGE OF PROPOSED SYSTEM
 Reducing the overall communication cost.
 To minimize the overall data sampling interval length at each node while
satisfying all the applications.
 Reducing the amount of transmitted data for each node.

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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 XP
Technology Used : Microsoft .NET
Backend Used : SQL Server

Data collection multi application sharing wireless sensor networks

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