Affiliations: Department of Science (Mathematics), UTM CityCampus,
54100 Kuala Lumpur, Malaysia | Department of Computer Science, Old Dominion
University, Norfolk, Virginia 23529, USA. E-mail:
{xu_q,olariu}@cs.odu.edu | Department of Mathematics, Universiti Teknologi
Malaysia, 81310 Johor Bahru, Malaysia. E-mail: [email protected]
Abstract: Locationing problem in Wireless Sensor Networks(WSNs) can be viewed
as a general distributed sensor problem. It is with sensors that can discover
other nodes or estimate ranges between nodes, that serve as position
references. In this paper, we show that sensors acquire coarse-grain location
awareness by the training protocol. The training protocol which hybrids the
synchronization and training procedure. In this protocol, synchronization and
training are combined into one scheme. The sink node sends two beacons in each
slot instead of one. In the training, sensor searching for its location using a
binary search scheme. Our simulation results shown less number of cycles needed
for training.
