Mobile Relay
Configuration in Data-Intensive Wireless Sensor Networks
ABSTRACT:
Wireless Sensor
Networks (WSNs) are increasingly used in data-intensive applications such as
microclimate monitoring, precision agriculture, and audio/video surveillance. A
key challenge faced by data-intensive WSNs is to transmit all the data
generated within an application’s lifetime to the base station despite the fact
that sensor nodes have limited power supplies. We propose using lowcost disposable
mobile relays to reduce the energy consumption of data-intensive WSNs. Our
approach differs from previous work in two main aspects. First, it does not
require complex motion planning of mobile nodes, so it can be implemented on a
number of low-cost mobile sensor platforms. Second, we integrate the energy
consumption due to both mobility and wireless transmissions into a holistic optimization
framework. Our framework consists of three main algorithms. The first algorithm
computes an optimal routing tree assuming no nodes can move. The second
algorithm improves the topology of the routing tree by greedily adding new
nodes exploiting mobility of the newly added nodes. The third algorithm
improves the routing tree by relocating its nodes without changing its
topology. This iterative algorithm converges on the optimal position for each
node given the constraint that the routing tree topology does not change. We
present efficient distributed implementations for each algorithm that require
only limited, localized synchronization. Because we do not necessarily compute
an optimal topology, our final routing tree is not necessarily optimal.
However, our simulation results show that our algorithms significantly
outperform the best existing solutions.
EXISTING SYSTEM:
A key challenge faced by data-intensive WSNs is to
minimize the energy consumption of sensor nodes so that all the data generated
within the lifetime of the application can be transmitted to the base station. Several
different approaches have been proposed to significantly reduce the energy cost
of WSNs by using the mobility of nodes. A robotic unit may move around the network
and collect data from static nodes through one-hop or multihop transmissions.
The mobile node may serve as the base station or a “data mule” that transports data
between static nodes and the base station. Mobile nodes may also be used as
relays that forward data from source nodes to the base station. Several
movement strategies for mobile relays have been studied.
DISADVANTAGES
OF EXISTING SYSTEM:
Ø First,
the movement cost of mobile nodes is not accounted for in the total network
energy consumption. Instead, mobile nodes are often assumed to have replenishable
energy supplies which are not always feasible due to the constraints of the
physical environment.
Ø Second,
complex motion planning of mobile nodes is often assumed in existing solutions
which introduces significant design complexity and manufacturing costs.
Ø In
mobile nodes need to repeatedly compute optimal motion paths and change their
location, their orientation and/or speed of movement. Such capabilities are
usually not supported by existing low-cost mobile sensor platforms.
PROPOSED SYSTEM:
In this paper, we use low-cost disposable mobile
relays to reduce the total energy consumption of data-intensive WSNs. Different
from mobile base station or data mules, mobile relays do not transport data;
instead, they move to different locations and then remain stationary to forward
data along the paths from the sources to the base station. Thus, the communication
delays can be significantly reduced compared with using mobile sinks or data
mules. Moreover, each mobile node performs a single relocation unlike other
approaches which require repeated relocations.
ADVANTAGES
OF PROPOSED SYSTEM:
Ø Our
approach takes advantage of this capability by assuming that we
have a large number of mobile relay nodes.
Ø On
the other hand, due to low manufacturing cost, existing mobile sensor platforms
are typically powered by batteries and only capable of limited mobility.
Ø Consistent
with this constraint, our approach only requires one-shot relocation to
designated positions after deployment. Compared with our approach, existing
mobility approaches typically assume a small number of powerful mobile nodes,
which does not exploit the availability of many low-cost mobile nodes
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
ü Processor - Pentium –IV
ü Speed - 1.1
Ghz
ü RAM - 256
MB(min)
ü Hard Disk -
20 GB
ü Key Board -
Standard Windows Keyboard
ü Mouse - Two
or Three Button Mouse
ü Monitor - SVGA
SOFTWARE CONFIGURATION:-
ü Operating System : Windows XP
ü Programming Language :
JAVA
ü Java Version :
JDK 1.6 & above.
ü Database :
MYSQL
REFERENCE:
Fatme
El-Moukaddem, Eric Torng, and Guoliang Xing,Member, IEEE “Mobile Relay
Configuration in Data-Intensive Wireless Sensor Networks”- IEEE
TRANSACTIONS ON MOBILE COMPUTING, VOL. 12, NO. 2, FEBRUARY 2013.
