Abstract:
Channel assignment plays an important role in the performance
of multi-channel multi radio wireless networks. Throughput
and network connectivity being the very important performance
metrics are severely degraded by the interference in these networks.
Due to the dynamic and time varying nature of these networks,
predicting channel quality and deciding the best channel
becomes challenging. Channel quality is the function of interference
caused by the transmissions in the neighbourhood nodes
communicating on same channel, while connectivity depends on
the number of channel and node density. Single channel provides
ideal connectivity (network is fully connected), but on the
other hand, it limits the overall throughput of the network. This
results in connectivity-throughput trade-o . In this thesis, we
propose a channel assignment algorithm that is meant to maximize
connectivity and throughput at a certain level. In the
proposed approach, channel assignments to the interfaces on
each node depend upon the quality of a channel. Our algorithm
is distributed in nature and becomes stable after few iterations
of channel assignment. Our contributions in this work are to
ensure connectivity and to maximize network throughput. Simulation
results from ns-2 and empirical modeling show that our
approach achieves better results compared to other approaches
like common channel assignment (CCA) and optimization based
approaches.
