DocumentCode
3101266
Title
A Clustering Algorithm to Construct a Hierarchical Network Structure with Global Stability for Mobile Ad Hoc Networks
Author
Wu, Jing ; Gu, Guo-chang ; Hou, Guo-zhao
Author_Institution
Sch. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
301
Lastpage
304
Abstract
In MANETs, the scalability problem has been solved by the clustering mechanism. However, current clustering algorithms consider on the network stability only in terms of some metrics affecting innercluster structure´s stability, and neglect some metrics affecting intercluster structure´s stability which are more favorable to global stability. To solve this problem, a clustering algorithm is proposed in this paper. It gives a comprehensive measurement on stability metrics of the innercluster structure and the intercluster structure. For a better comprehension of our algorithm, an explanatory example is given. To compare the performance of our algorithm to that of clustering algorithms with clusterheads, we simulate the structural adjusting times and network overheads during the process of the cluster formation and maintenance. The conclusion shows that our algorithm is more favorable to the stability of the global hierarchical structure and reduces network overheads a lot, which improves the global network performance.
Keywords
ad hoc networks; mobile radio; reliability; statistical analysis; MANET; clustering algorithm; global stability metrics; hierarchical network structure; innercluster structure; intercluster structure; mobile ad hoc network; Ad hoc networks; Batteries; Clustering algorithms; Computer science; Costs; Mobile ad hoc networks; Prediction algorithms; Scalability; Stability; Structural engineering; Ad hoc networks; adaptive clustering; centerless clustering algorithm; clustering algorithm; mobility prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3530-2
Electronic_ISBN
978-1-4244-3531-9
Type
conf
DOI
10.1109/KAMW.2008.4810711
Filename
4810711
Link To Document