Data Aggregation and Data Fusion in Wireless Sensor Networks: A Review
Usman Mohammed, Omotayo Oshiga, Jihoon Lee, Jibril Abdullahi Bala · The Journal of Contents Computing · 2023
Wireless sensor networks (WSNs) are widely used for a variety of applications, and sensor nodes (SNs) in these networks are employed to gather data. Unfortunately, there is significant data redundancy in the data acquired by these nodes due to overlap in the monitoring region that they cover, resulting in resource wastage. In WSNs, Data Aggregation (DA) and Data Fusion (DF) are utilized to address these issues as well as others such as energy usage, network longevity, and communication time between SNs. The purpose of this study was to thoroughly identify numerous DA and DF approaches, with an emphasis on their mode of operation, strengths, and limitations. The study investigated the various approaches, strategies, and protocols utilized in WSNs for DA and DF, as well as their applications, performance measurements, and implementation issues. This is meant to offer researchers with the insight they need to identify appropriate DA and DF strategies to use in their study. Security, redundancy, and energy usage were identified as three of the most important concerns in DA and DF approaches for WSNs.