Greedy Routing
With Anti-Void Traversal For Wireless Sensor Networks
Abstract:
The
unreachability problem (i.e., the so-called void problem) that exists in the
greedy routing algorithms has been studied for the wireless sensor networks.
Some of the current research work cannot fully resolve the void problem, while
there exist other schemes that can guarantee the delivery of packets with the
excessive consumption of control overheads.
Moreover,
the hop count reduction (HCR) scheme is utilized as a short-cutting technique
to reduce the routing hops by listening to the neighbor’s traffic, while the
intersection navigation (IN) mechanism is proposed to obtain the best rolling
direction for boundary traversal with the adoption of shortest path criterion.
In order to maintain the network requirement
of the proposed RUT scheme under the non-UDG networks, the partial UDG
construction (PUC) mechanism is proposed to transform the non-UDG into UDG
setting for a portion of nodes that facilitate boundary traversal. These three
schemes are incorporated within the GAR protocol to further enhance the routing
performance with reduced communication overhead. The proofs of correctness for
the GAR scheme are also given in this paper.
INTRODUCTION
The greedy routing algorithm has been studied for the unreachability
problem (i.e. void problem) in the wireless sensor networks. Some of the
current research work cannot fully resolve the void problem, while there exist
other schemes that can guarantee the delivery of packets with the excessive
consumption of control overheads. In this project, a greedy anti void routing
(GAR) protocol is proposed to solve the void problem with increased routing
efficiency by exploiting the boundary finding technique for the unit disk graph
(UDG).
The proposed rolling-ball UDG boundary traversal (RUT) is employed to
completely guarantee the delivery of packets from the source to the destination
node under the UDG network. The boundary map (BM) and the indirect map
searching (IMS) scheme are proposed as efficient algorithms for the realization
of the RUT technique.
Moreover, the hop count
reduction (HCR) scheme is utilized as a short-cutting technique to reduce the
routing hops by listening to the neighbor’s traffic, while the intersection navigation
(IN) mechanism is proposed to obtain the best rolling direction for boundary
traversal with the adoption of shortest path criterion. In order to maintain
the network requirement of the proposed RUT scheme under the non-UDG networks,
the partial UDG construction (PUC) mechanism is proposed to transform the
non-UDG into UDG setting for a portion of nodes that facilitate boundary
traversal.
These three schemes are incorporated within the GAR protocol to further
enhance the routing performance with reduced communication overhead. The proofs
of correctness for the GAR scheme are also given in this project. Comparing
with the existing localized routing algorithms, the simulation results show
that the proposed GAR-based protocols can provide better routing efficiency.
Existing System:
As mobile computing requires more computation as well
as communication activities, energy efficiency becomes the most critical issue
for battery-operated mobile devices. Specifically, in ad hoc networks where
each node is responsible for forwarding neighbor nodes' data packets, care has
to be taken not only to reduce the overall energy consumption of all relevant
nodes but also to balance individual battery levels. Unbalanced energy usage
will result in earlier node failure in overloaded nodes, and in turn may lead
to network partitioning and reduced network lifetime. Localized routing
algorithms which achieves a trade-off between balanced energy consumption and
shortest routing delay, and at the same time avoids the blocking and route
cache problems.
Proposed System:
In this project, a
greedy anti-void routing (GAR) protocol is proposed to solve the void problem
with increased routing efficiency by exploiting the boundary finding technique
for the unit disk graph (UDG). The proposed rolling-ball UDG boundary traversal
(RUT) is employed to completely guarantee the delivery of packets from the
source to the destination node under the UDG network. The boundary map (BM) and
the indirect map searching (IMS) scheme are proposed as efficient algorithms
for the realization of the RUT technique.
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 :
256 Mb.
Software Requirements:
Operating System : Windows XP.
Front End :
Asp .Net 2.0.
Coding Language : Visual C# .Net.
Back End : SQL Server 2000.
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