Abstract:
Topology control plays an important role in the
design of wireless ad hoc and sensor networks; it is capable of
constructing networks that have desirable characteristics such
as sparser connectivity, lower transmission power, and a smaller
node degree. In this research, a new distributed topology control
technique is presented that enhances energy efficiency and
reduces radio interference in wireless sensor networks. Each
node in the network makes local decisions about its transmission
power and the culmination of these local decisions produces a
network topology that preserves global connectivity. Central to
this topology control technique is the novel Smart Boundary Yao
Gabriel Graph (SBYaoGG) and optimizations to ensure that all
links in the network are symmetric and energy efficient. Simulation
results are presented demonstrating the effectiveness of
this new technique as compared to other approaches to topology
control.