Abstract:
Wireless Mesh Network (WMN) is an emerging technology for providing
wireless broadband access due to its capability of self-organization and self-
con guration. These kinds of networks are very helpful for various applica-
tions where the wired backbone is not available or expensive and also these
are reliable due to availability of redundant paths between the sender and
receiver. The main disadvantage of WMN is the highly connected network
topology, which results in high interference, thus a ecting the aggregate end
to end throughput. The capacity of WMNs can be improved signi cantly by
equipping each node with multiple interfaces and by using multiple channels
(MR-MC) but the limitation of channels in the radio spectrum restricts the
network to a certain bandwidth limit. Thus an e ective MR-MC topology
control strategy is required to overcome this problem. In this paper, rst we
propose an optimization model on the basis of interference and link capaci-
ties that nd out the aggregate end to end throughput for a given network
topology having static tra c on all the possible disjoint multiple paths. Then
we propose new optimized Interference Aware Pruned Two Path (IA-P2P)
topology control scheme which uses our network optimization model and
prunes some links in the physical topology to select best two among multiple
completely disjoint paths for each
ow. This pruning process minimizes the
interference which results in higher throughput as compare to actual physical
multipath topology. The mathematical results of the model show that this
reduction in interference provides more chances of transmission for nodes and
hence enhances aggregate end to end throughput by 21.3%. Extensive simu-
lation based experiments in OPNET simulator have also been conducted to
test the e ectiveness of the proposed scheme. Simulation results also demon-
strate that our IA-P2P topology control scheme can increase throughput by
16.8% than the existing physical multipath topology control scheme.
