Systematic Review of Recent Clustering & Data Aggregation Methods for Internet of Things Networks

Abstract

Internet of Things (IoT) generally provides information about all the objects which are connected to the internet. In the Internet of IOT future, the WSNs speak to one of the huge information patrons because of the wide scope of genuine applications that utilization this kind of network. Whereas WSN are known for their limited computation & communication resources as well as limited battery power, the right IoT data aggregation methods can make all the difference in IoT strategy. The thick WSN can prompt an expansion in the excess information in the assembled proportions of the sensor hub. Information conglomeration is a proficient strategy broadly utilized in IoT to gather insights about different secure information collection system technique over IoT networks. This broadsheet presents a survey of ongoing clustering & information collection strategies for IoT networks. In this paper discuss a review of various aggregation techniques which helps to find reducing the bandwidth consumption, the energy consumption, delay & also maximizing the network life time.