TY - GEN
T1 - Performance analysis of location estimation algorithm in ZigBee networks using received signal strength
AU - Hyunggi, Cho
AU - Myungseok, Kang
AU - Jonghyuk, Park
AU - Byungsung, Park
AU - Hagbae, Kim
PY - 2007
Y1 - 2007
N2 - This paper presents a Maximum Likelihood Estimator (MLE) for the ZigBee networks. We propose a deployment of cluster-tree topology in the ZigBee networks and derive the MLE under the log-normal models for the Received Signal Strength (RSS) measurements. The ZiLA algorithm is also proposed to apply the MLE to ZigBee networks. To validate the RSS measurement model, we have conducted exhaustive experiments. Testbed experiments are also conducted to validate the effectiveness of ZiLA algorithm.
AB - This paper presents a Maximum Likelihood Estimator (MLE) for the ZigBee networks. We propose a deployment of cluster-tree topology in the ZigBee networks and derive the MLE under the log-normal models for the Received Signal Strength (RSS) measurements. The ZiLA algorithm is also proposed to apply the MLE to ZigBee networks. To validate the RSS measurement model, we have conducted exhaustive experiments. Testbed experiments are also conducted to validate the effectiveness of ZiLA algorithm.
UR - https://www.scopus.com/pages/publications/35248821373
U2 - 10.1109/AINAW.2007.283
DO - 10.1109/AINAW.2007.283
M3 - Conference contribution
AN - SCOPUS:35248821373
SN - 0769528473
SN - 9780769528472
T3 - Proceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07
SP - 302
EP - 306
BT - Proceedings - 21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07
PB - IEEE Computer Society
T2 - 21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07
Y2 - 21 May 2007 through 23 May 2007
ER -