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Data-centric storage is an effective and important technique in wireless sensor networks. There are many attributes with range values in an event, so the sensor will need to use multi-dimensional range queries to retrieve data. In this paper, we propose a data storage and range query method for multi-dimensional attributes in wireless sensor networks. The main idea is to map multi-dimensional events to their corresponding range spaces and build an in-network distributed data structure to efficiently gather the data of multi-dimensional range queries. Our performance evaluation shows that our proposed scheme can reduce message cost and hotspot problems to achieve load balancing even when a vast number of the events and sensor nodes are present in a sensor network.