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Unmanned Aerial Vehicle (UAV) networks have been widely used in both militaryand civilian scenarios. When users are interested in the statisticalinformation of the historical sensory data in a certain region during a certaintime period, they will send an aggregation query request with aspatial-temporal constraint to target UAVs which store the qualified data.Then, the target UAVs will return the query results to users. Meanwhile, thequery results can be aggregated within the network during transmission to saveenergy and bandwidth resources, which are typically scarce in UAV networks.However, due to the unique characteristics of UAV networks, it is difficult toperform efficient in-network aggregation of query results without the sacrificeof the user query delay. To the best of our knowledge, there is no research onspatial-temporal range aggregation query in UAV networks. In this paper, wepropose an Efficient Spatial-Temporal range Aggregation query processing (ESTA)algorithm for UAV networks. First, a topology change graph is constructed basedon the pre-planned trajectory information. Meanwhile, an efficient shortestpath algorithm is proposed to obtain the user query delay. Then, on the basisof ensuring the user query delay, ESTA transforms the aggregation processing ofquery results into recursively solving the set cover problem, therebyconstructing a spatial-temporal aggregation tree (STAT), based on which anefficient in-network aggregation routing path for query results can be found.Through extensive simulation, we demonstrate that ESTA can save more than 50%of the energy consumption compared with the baseline algorithm.

ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks