Analysis of Data Aggregation Methods to avoid Data Redundancy in Wireless Sensor Network

Internet of Things (IoT) may be with large number of different technologies to make devices capable to interact with each other. The IoT with all these advanced technologies and devices making a rapid change of society towards easier and smarter. In IoT environment, nodes or sensors may used to collect the data and wireless communication technologies are used to transceive sensed data. IoT can involve number of sensor nodes, but with limited sensing, computational, and communication capabilities. Due to such limitations, the data size should be lower weight to improve the efficiency of the sensor nodes and bandwidth utilization of a network. To achieve network efficiency by avoiding data redundancy, the concept of data aggregation came into the picture. Data aggregation is the process of combining data from various sources and route them after removing redundancy such as to improve the overall network lifetime. When data aggregation is performed a notable communication complexity reduction rate and energy consumption reduction rate observed, hence we have studied and analyzed various Data Aggregation methods with their working methodology, features, limitations, drawbacks, results, etc. to conclude best suitable.