Linear clustering of objects with multiple attributes
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Analysis of the Clustering Properties of the Hilbert Space-Filling Curve
IEEE Transactions on Knowledge and Data Engineering
Data-centric storage in sensornets with GHT, a geographic hash table
Mobile Networks and Applications
Multi-dimensional range queries in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Proceedings of the 1st international conference on Embedded networked sensor systems
An efficient data-centric storage method using time parameter for sensor networks
Information Sciences: an International Journal
| Hi-index | 0.00 |
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.