A Distributed Index Based Multi-Resolution Data Storage Architecture in Wireless Sensor Networks

Abstract

We propose a distributed index based multi-resolution storage architecture (DIMSA) for data storage and retrieval at multiple levels of detail in wireless sensor networks. The proposed scheme could automatically retrieve subsets of the data in correspondence to the user defined level of detail to save energy. In addition, DIMSA deploys attribute allocation scheme to further reduce energy consumption in the condition that some attributes are included in many events. In this condition, traditional data-centric storage schemes consumes more energy because the values for these attributes have to be replicated and stored at different places in the network for each individual event. A distributed index scheme is also proposed to avoid query flooding and extra data transmission. Analysis and simulations are conducted to evaluate the performance of the proposed scheme. The results show that DIMSA outperforms the traditional data-centric storage scheme like GHT.