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Self-Reconfigurable Wireless Mesh Networks
During their lifetime, multihop wireless mesh networks (WMNs) experience frequent link
failures caused by channel interference, dynamic obstacles, and/or applications' bandwidth
demands. These failures cause severe performance degradation in WMNs or require expensive
manual network management for their real-time recovery. This paper presents an autonomous
network reconfiguration system (ARS) that enables a multiradio WMN to autonomously recover
from local link failures to preserve network performance. By using channel a nd radio diversities
in WMNs, ARS generates necessary changes in local radio and channel assignments in order to
recover from failures. Next, based on the thus-generated configuration changes, the system
cooperatively reconfigures network settings among local mesh routers. ARS has been
implemented and evaluated extensively on our IEEE 802.11-based WMN test-bed as well as
through ns2-based simulation. Our evaluation results show that ARS outperforms existing
failure-recovery schemes in improving channel-efficiency by more than 90% and in the ability of
meeting the applications' bandwidth demands by an average of 200%.
Existing System
During their lifetime, multihop wireless mesh networks (WMNs) experience frequent link
failures caused by channel interference, dynamic obstacles, and/or applications' bandwidth
demands. These failures cause severe performance degradation in WMNs or require expensive
manual network management for their real-time recovery.

2. Proposed System
This paper presents an autonomous network reconfiguration system (ARS) that enables a
multiradio WMN to autonomously recover from local link failures to preserve network
performance. By using channel and radio diversities in WMNs, ARS generates necessary
changes in local radio and channel assignments in order to recover from failures. Next, based on
the thus-generated configuration changes, the system cooperatively reconfigures network settings
among local mesh routers. ARS has been implemented and evaluated extensively on our IEEE
802.11-based WMN test-bed as well as through ns2-based simulation. Our evaluation results
show that ARS outperforms existing failure-recovery schemes in improving channel-efficiency
by more than 90% and in the ability of meeting the applications' bandwidth demands by an
average of 200%.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA
SOFTWARE CONFIGURATION:-

3.  Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.