Data storage in sensor networks for multi-dimensional range queries

Abstract

In data-centric sensor networks, various data items, such as temperature, humidity, pressure and so on, are sensed and stored in sensor nodes. As these attributes are mostly scalar values and inter-related, multi-dimensional range queries are very useful. However, the previous work on range query processing in sensor networks did not consider overall network lifetime. To prolong network lifetime and support multi-dimensional range queries, we propose a dynamic data placement method for multi-dimensional data, where data space is divided into equal-sized regions and placed over sensor nodes in a dynamic way. Through experiments, we show the efficiency of the proposed method compared with the previous work.