Abstract：Concerning the problem of unbalanced energy consumption in the existing Underwater Acoustic Sensor Network (UW-ASN) clustering routing algorithm, an energy efficient multi-hop uneven clustering (EEMUC) routing algorithm was proposed in this paper. In EEMUC, the uneven layered model was constructed according to the distance between the node and the base station. The cluster head selection of each layered areas was based on comprehensive properties of nodes. The clusters closer to the sink had smaller sizes than those farther away from the sink. Multi-hop data routing was formed in inter-cluster to balance energy consumption. The experimental results show that EEMUC algorithm performs much better than the algorithm of Low-Energy Adaptive Clustering Hierarchy (LEACH) and Energy-Efficient Uneven Clustering (EEUC) in terms of the number of cluster head and residual energy, and it improves the energy efficiency and lifetime of UW-ASN.
2013, Vol. 33 
