Abstract
The Internet of Things (IoT) is getting important and interconnected technologies of the world, consisting of sensor devices. The internet is smoothly changing from an internet of people towards an Internet of Things, which permits various objects to connect to another wirelessly. The energy consumption of the IoT routing protocol can affect the network life span. In addition, the high volume of data produced by IoT will result in transmission collision, security issues, and energy dissipation due to increased data redundancy because tiny sensors are usually hard to recharge after they are deployed. Generally, to save energy, data aggregation reduces data redundancy at each node by turning some nodes into sleep mode and others into wake mode. Therefore, it is important to group the nodes with high data similarity using the fuzzy matrix. Then, the data received from the member nodes at the Cluster Head (CH) are analyzed using a fuzzy similarity matrix for clustering. In the next step, after clustering, some nodes are chosen from all groups as redundant nodes. The sleep scheduling mechanism is then applied to reduce data redundancy, network traffic jamming, and transmission costs. We have proposed an Energy-Efficient Data Aggregation Mechanism (EEDAM) secured by blockchain, which uses a data aggregation mechanism at the cluster level to save energy. As edge computing is used to provide on-demand trusted services to IoT with minimum delay, blockchain is integrated inside a cloud server, so the edge is validated by the blockchain to provide secure services to IoT. Finally, we performed simulations to calculate the performance of the proposed mechanism and compared it with the conventional energy-efficient algorithms. The simulation results show that the proposed structural design can successfully reduce the amount of data, provide proper security to the IoT, and extend the wireless sensor network (WSN).
Highlights
Nowadays, many network edge devices and real-world objects are integrated with wireless sensors to monitor and collect real-time data from the monitoring area
This paper proposes a data aggregation architecture that maintains the edge server's validity state, depending on the service provided to the end-user of the Internet of Thing (IoT) network and the end user's rating given to the edge
Gas is the unit for how many transactions are executed in a period
Summary
Many network edge devices and real-world objects are integrated with wireless sensors to monitor and collect real-time data from the monitoring area. This architecture has changed with the invention of the Internet of Thing (IoT). The IoT includes intelligent devices, such as sensors, smart home devices, intelligent cars, industrial areas, and utilities, which can communicate through the internet and are integrated with data analysis capabilities. This paradigm has changed the way we live, play, and work.
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