TY - JOUR
T1 - A two-state markov-based wireless error model for bluetooth networks
AU - Chen, Ling Jyh
AU - Hung, Hao Hsiang
N1 - Funding Information:
Acknowledgments We wish to thank the anonymous reviewers for their valuable comments and suggestions. This work was partially supported by the National Science Council of Taiwan under grant numbers NSC 97-2628-E-001-007-MY3 and NSC 98-2631-S-003-002.
PY - 2011/6
Y1 - 2011/6
N2 - Data transmission over wireless networks is challenging due to the occurrence of burst errors, and packet loss caused by such errors seriously limits the maximum achievable throughput of wireless networks. To tailor efficient transmission schemes, it is essential to develop a wireless error model that can provide insight into the behavior of wireless transmissions. In this study, we investigate the wireless error model of Bluetooth networks. We study the FHSS feature of Bluetooth using both ordinary hopping kernels and Adaptive Frequency Hopping (AFH) kernels, and design analytical error models accordingly to capture the channel behavior of Bluetooth networks. We evaluate the proposed models by comparing the analytical results to the simulation results obtained by Markov Chain Monte Carlo (MCMC) algorithms. The results show that our analytical models can represent the channel behavior of Bluetooth networks in all test cases.
AB - Data transmission over wireless networks is challenging due to the occurrence of burst errors, and packet loss caused by such errors seriously limits the maximum achievable throughput of wireless networks. To tailor efficient transmission schemes, it is essential to develop a wireless error model that can provide insight into the behavior of wireless transmissions. In this study, we investigate the wireless error model of Bluetooth networks. We study the FHSS feature of Bluetooth using both ordinary hopping kernels and Adaptive Frequency Hopping (AFH) kernels, and design analytical error models accordingly to capture the channel behavior of Bluetooth networks. We evaluate the proposed models by comparing the analytical results to the simulation results obtained by Markov Chain Monte Carlo (MCMC) algorithms. The results show that our analytical models can represent the channel behavior of Bluetooth networks in all test cases.
KW - Bluetooth
KW - Error model
KW - Gilbert-Elliot model
KW - Markov Chain Monte Carlo
UR - https://www.scopus.com/pages/publications/79959205968
UR - https://www.scopus.com/pages/publications/79959205968#tab=citedBy
U2 - 10.1007/s11277-009-9899-5
DO - 10.1007/s11277-009-9899-5
M3 - Article
AN - SCOPUS:79959205968
SN - 0929-6212
VL - 58
SP - 657
EP - 668
JO - Wireless Personal Communications
JF - Wireless Personal Communications
IS - 4
ER -