TY - CHAP
T1 - Hierarchical Grown Bluetrees (HGB) - An effective topology for bluetooth scatternets
AU - Huang, Tsung Chuan
AU - Yang, Chu Sing
AU - Huang, Chao Chieh
AU - Bai, Shen Wen
PY - 2003
Y1 - 2003
N2 - Bluetooth is a promising technology for short-range wireless communication and networking, mainly used as a replacement for connected cables. The specification defines how to build a piconet and there are several existing solutions to construct a scatternet from the piconets. The process to construct a scatternet is called scatternet formation. We find that a tree shape scatternet called bluetree has three defects: First, it lacks efficiency in routing because the bluetree may form a skewed tree, not a balanced tree, resulting in longer routing paths. Second, the parent nodes in bluetree are very likely to become the bottlenecks of communication. Third, it lacks reliability. When a parent node is lost, it could cause several separated subtrees. In this paper we introduce an algorithm to generate the bluetree hierarchically; namely, the algorithm grows nodes in the bluetree level by level. This resolves the foregoing defects in scatternet formation. We construct the bluetree, keeping it balanced, to achieve the shorter routing paths, and establish the connection pairs between the siblings to provide another path to route. As a result, the traffic load at parent nodes can be greatly improved. Besides, once a parent node is lost, only two separated parts will be caused. A better reliability is therefore obtained.
AB - Bluetooth is a promising technology for short-range wireless communication and networking, mainly used as a replacement for connected cables. The specification defines how to build a piconet and there are several existing solutions to construct a scatternet from the piconets. The process to construct a scatternet is called scatternet formation. We find that a tree shape scatternet called bluetree has three defects: First, it lacks efficiency in routing because the bluetree may form a skewed tree, not a balanced tree, resulting in longer routing paths. Second, the parent nodes in bluetree are very likely to become the bottlenecks of communication. Third, it lacks reliability. When a parent node is lost, it could cause several separated subtrees. In this paper we introduce an algorithm to generate the bluetree hierarchically; namely, the algorithm grows nodes in the bluetree level by level. This resolves the foregoing defects in scatternet formation. We construct the bluetree, keeping it balanced, to achieve the shorter routing paths, and establish the connection pairs between the siblings to provide another path to route. As a result, the traffic load at parent nodes can be greatly improved. Besides, once a parent node is lost, only two separated parts will be caused. A better reliability is therefore obtained.
UR - http://www.scopus.com/inward/record.url?scp=35248858000&partnerID=8YFLogxK
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U2 - 10.1007/3-540-37619-4_17
DO - 10.1007/3-540-37619-4_17
M3 - Chapter
AN - SCOPUS:35248858000
SN - 9783540376194
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 152
EP - 164
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Guo, Minyi
A2 - Yang, Laurence Tianruo
PB - Springer Verlag
ER -