Analysis of Data Aggregation Techniques in WSN

Abstract

Wireless sensor networks (WSNs) produce a huge amount of application-specific data. These data need to be processed and transmitted to base station, which is a costly affair. Since WSN nodes are resource-constrained, efficient data processing and conserving energy are prime challenges. It has been observed that most of the data sensed by the sensors are redundant in nature. If data redundancy can be reduced, then it will lead to an increased lifetime of the network and reduced latency. In this paper, we surveyed different techniques for reducing redundancy in data, and in particular through aggregation. We have discussed data aggregation taxonomy, challenges and critically analysed aggregation techniques proposed in the last 10 years.