关键词: 战术互联网, 信任, 复合度量, 分簇算法

Abstract: Based on the analysis of the characteristics of Tactical Internet (TI), this paper presented a trust based k-hop compound metric clustering algorithm (TBKCM), which used the nodes administration level, trust level, residual energy, relative mobility, and identity jointly to select cluster heads, thus enhanced the network security and stability. As one hop cluster was extended into k hops, TBKCM improved the scalability of large scale TI significantly. This scheme introduced an on-demand cluster maintenance strategy in order to maintain network topology available and timely, at the same time, to reduce the cost of control. The simulation results show that, clusters created by using TBKCM approach retain modest and more uniform cluster size. The cluster head duration time increased compared with other clustering schemes and thus created much more stable clusters.

Key words: Tactical Internet (TI), trust, compound metric, clustering algorithm