Wide area sensor databases are a hotspot research area internationally at present. The query processing technology in wide area sensor databases is analyzed in detail in this paper. Focusing on the query redundancy problem among multiple queries, the multiple queries processing algorithms are proposed. First of all, it divides these queries into a number of sub-queries equally. Secondly, it constructs a query attribute graph using all the sub-queries and deletes the repeated queries using the eliminating repeated sub-queries algorithm. Finally, it unites the results based on the relations between the query and the sub-queries and gains the query results of users. Theoretical analyses and experimental results demonstrate that the method can dramatically reduce the users? query response times, decrease the messages transferred in the sensor network and improve the utilization ratio of the network bandwidth.