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.

To provide better Web search services, the key techniques of the full-text retrieval were studied and a middleware was designed and implemented. By using a multi-thread website crawler program, the Web pages of the given URLs were collected. Bloom-Filter algorithm was employed to get rid of large-scale duplicate URLs in the collected Web pages. A new content extraction approach based on the Web tags was presented to extract the full-text content of Web pages for indexing and searching. The experimental results verify the efficiency of the content extraction method. Furthermore, to improve the search experience of users, many personalized search assistances were provided by this middleware. Boso, a blog search engine, was developed to test and verify the presented middleware. The results show that the presented middleware can be applied to actual search engines.