Energy-efficient big data storage and retrieval for wireless sensor networks with nonuniform node distribution

摘要

Distributed data-centric storage in wireless sensor networks (WSNs) is considered as a promising big datarnstorage approach, because it contributes to reducing the communication overhead inside the networks.rnHowever, most of the existing distributed methods rely on locating systems, which consume more energy,rnand assume that sensors are uniformly distributed, which is clearly not applicable for the scenarios withrnnonuniform sensor distribution. To address these issues, in this paper, we propose a big data storagernand retrieval algorithm for WSNs with nonuniform node distribution, which aims at estimating the realrndistribution and the addresses of sensor nodes. In particular, we consider the data redundancy amongrnneighbor nodes in the proposed algorithm and exploit a simple routing based on the algorithm. Experimentalrnresults show that our approach outperforms other approaches in terms of data querying efficiency and datarnloss rate.