Open Science Research Excellence
@article{(International Science Index):,
  title    = {Data Collection with Bounded-Sized Messages in Wireless Sensor Networks},
  author    = {Min Kyung An},
  country   = {United States},
  institution={Sam Houston State University},
  abstract  = {In this paper, we study the data collection problem in
Wireless Sensor Networks (WSNs) adopting the two interference
models: The graph model and the more realistic physical interference
model known as Signal-to-Interference-Noise-Ratio (SINR). The
main issue of the problem is to compute schedules with the minimum
number of timeslots, that is, to compute the minimum latency
schedules, such that data from every node can be collected without
any collision or interference to a sink node. While existing works
studied the problem with unit-sized and unbounded-sized message
models, we investigate the problem with the bounded-sized message
model, and introduce a constant factor approximation algorithm.
To the best known of our knowledge, our result is the first result
of the data collection problem with bounded-sized model in both
interference models.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {10},
  number    = {6},
  year      = {2016},
  pages     = {968 - 972},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 114, 2016},