Mobile awareness based cluster selection mechanisms in wireless ad hoc networks

Ho Ting Wu, Kai Wei Ke, Chun Hung Chen, Chen Wei Kuan

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations


In this paper, we propose an efficient clustering scheme for a wireless ad hoc network, based upon the moving characteristics of the mobile nodes. The instantaneous mobility behavior for a node equipped with the mobility measuring tool such as GPS is readily available. However, for a mobile node without such tool or staying in the environment where the measuring tool cannot function properly, we develop a simple heuristic mechanism to derive the mobility index, used for characterizing its instantaneous nodal mobility. The developed mobility estimation algorithm is fully distributed and self organized. Performance results via simulations reveal that the estimated mobility index of a node follows a linear relation with its own real speed in various networking environments. Next, we apply the obtained mobility index to derive the mobile awareness based cluster selection scheme. In general, we choose the currently slowest moving node as the primary candidate for the clusterheads. Compared with other well known clustering schemes, performance results have demonstrated that our mechanism can achieve a more efficient and stable clustering architecture for different networking topologies.

Original languageEnglish
Pages (from-to)2774-2778
Number of pages5
JournalIEEE Vehicular Technology Conference
Issue number4
StatePublished - 2004
Externally publishedYes
Event2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States
Duration: 26 09 200429 09 2004


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