A distributed aggregate algorithm （DAA） for average query based on WSN was proposed. In DAA

the com- putation process of each node in WSN used the information gathered from just a few nearby neighbors. The algorithm offered a fundamentally distributed solution to analyze data locally without necessarily collected the information of whole nodes to a single central site

and did not require data fusion and long-distance communication. The algorithm could adaptively adjust query range according to query results as well. Analytical and experimental results show that the pro- posed algorithm has the advantages of good scalability、low power consumption

and is able to significantly prolong system life.