Background: Devices connected to the internet are increasing day by day, and the era of Internet
of Things (IoT) is anticipated. However, handling big data generated by the IoT networks will present considerable
challenge for the decision makers.Wireless sensor networks (WSNs) is one of the big data sources
in IoT. In such networks, a wide range of areas is monitored by thousands of sensors where gathered data are
sent to the sink node. Unfortunately, WSNs impose many challenges compared to other types of networks.
Data management is mainly a challenging task for WSNs due to the huge amount of data collected in such
networks. To the best of our knowledge, this paper represents the first formal overview about big data management
in WSNs. We highlight and categorize, based on some performance measures, different algorithms
designed for data collection, aggregation, correlation, compression and prediction in such networks. Furthermore,
we give a review about most importantWSN applications.
Conclusion: Finally, open research issues of WSNs are also suggested and put forward in this paper.