TY - JFULL
AU - Maryam Hsaini and Mostafa Nouri-Baygi
PY - 2018/10/
TI - A Study about the Distribution of the Spanning Ratios of Yao Graphs
T2 - International Journal of Computer, Electrical, Automation, Control and Information Engineering
SP - 686
EP - 690
EM - nouribaygi@um.ac.ir
VL - 12
SN - 1307-6892
UR - http://waset.org/publications/10009480
PU - World Academy of Science, Engineering and Technology
NX - International Science Index 141, 2018
N2 - A critical problem in wireless sensor networks is limited battery and memory of nodes. Therefore, each node in the network could maintain only a subset of its neighbors to communicate with. This will increase the battery usage in the network because each packet should take more hops to reach its destination. In order to tackle these problems, spanner graphs are defined. Since each node has a small degree in a spanner graph and the distance in the graph is not much greater than its actual geographical distance, spanner graphs are suitable candidates to be used for the topology of a wireless sensor network. In this paper, we study Yao graphs and their behavior for a randomly selected set of points. We generate several random point sets and compare the properties of their Yao graphs with the complete graph. Based on our data sets, we obtain several charts demonstrating how Yao graphs behave for a set of randomly chosen point set. As the results show, the stretch factor of a Yao graph follows a normal distribution. Furthermore, the stretch factor is in average far less than the worst case stretch factor proved for Yao graphs in previous results. Furthermore, we use Yao graph for a realistic point set and study its stretch factor in real world.
ER -