An IoT-enabled WSN environment for FoG-Assisted Aggregation Methodology

As the implementation of sensing devices for healthcare increases, there has been much advancement and research work done because of its wide applications. There are number of devices that are connected to Internet of things that are used in many sensing support healthcare applications. However, transmitting and collecting data in a safe and secure manner is quite a challenge as it is prone to be attacked by hackers to access the data in an illegal manner. The solutions that are already used have issues like energy overheads, communication and storage problems. In order to overcome this issue, this research work proposes a FoG assisted device that can be used for secure and efficient management of the healthcare data. In the proposed methodology, a peer-to-peer communication means can be used to share the data with aggregate nodes which will then further communicate it with the FoG server. The FoG server is incorporated with the proposed algorithm in order to extract data from the aggressor node and further data is split to obtain device level data. Simulation results indicate that this scheme will help us attain 55% data size reduction when compared with the other methodologies. The results of this methodology observe significant improvement in terms of resilience, energy consumption, transmission ratio, communication and storage.