Clustering Technique of Intelligent Distance Estimation for Mobile Ad-hoc Network
2009, 14(11), pp.105-111
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
Kihong Park 1, Rhee Yang Weon 2, SeongYoon Shin 3, Jongchan Lee 4, Jinkwan Lee 5, Haesuk Jang 6
1군산대학교
2군산대학교
3군산대학교
4군산대학교
5군산대학교
6군산대학교
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The study aims to propose the intelligent clustering technique that calculates the distance by improving the problems of multi-hop clustering technique for inter-vehicular secure communications. After calculating the distance between vehicles with no connection for rapid transit and clustering it, the connection between nodes is created through a set distance vale. Header is selected by the distance value between nodes that become the identical members, and the information within a group is transmitted to the member nodes. After selecting the header, when the header is separated due to its mobility, the urgent situation may occur. At this time, the information transfer is prepared to select the new cluster header and transmit it through using the intelligent cluster provided from node by the execution of programs included in packet. The study proposes the cluster technique of the intelligent distance estimation for the mobile Ad-hoc network that calculates the cluster with the Store-Compute-Forward method that adds computing ability to the existing Store-and-Forward routing scheme. The cluster technique of intelligent distance estimation for the mobile Ad-hoc network suggested in the study is the active and intelligent multi-hop cluster routing protocol to make secure communications.
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