Name
Abstract | ||
|---|---|---|
The emergence of new data handling technologies and analytics enabled the organization of big data in processes as an innovative aspect in wireless sensor networks (WSNs). Big data paradigm, combined with WSN technology, involves new challenges that are necessary to resolve in parallel. Data aggregation is a rapidly emerging research area. It represents one of the processing challenges of big sensor networks. This paper introduces the big data paradigm, its main dimensions that represent one of the most challenging concepts, and its principle analytic tools which are more and more introduced in the WSNs technology. The paper also presents the big data challenges that must be overcome to efficiently manipulate the voluminous data, and proposes a new classification of these challenges based on the necessities and the challenges of WSNs. As the big data aggregation challenge represents the center of our interest, this paper surveys its proposed strategies in WSNs. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2018.2821445 | IEEE ACCESS |
Keywords | Field | DocType |
Big data,data aggregation,wireless sensor networks | Computer science,Analytics,Wireless sensor network,Data aggregator,Group method of data handling,Big data,Distributed computing | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 3 |
PageRank | References | Authors |
0.40 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sabrina Boubiche | 1 | 24 | 3.26 |
| Djallel Eddine Boubiche | 2 | 67 | 9.85 |
| Azeddine Bilami | 3 | 54 | 9.35 |
| Homero Toral-Cruz | 4 | 43 | 7.17 |