Abstract: In the current days, huge number of data are processed by the user in different emerging technologies with respect to data aggregation, it aggregates the bulk of confidential data to be more accurate and efficient as it is handled by business organization. In this process, the problem of data interruption and modification occurs and leads to data inaccuracy and unreliability as there are various confidential information persist in the various business organization. In the data aggregation, the data are divided into several group and with a role provisioning. To overcome the problem of data interruption and modification, propose a MG based network aggregation algorithm with the integration of emerging technology to gather and aggregate the data, energy efficiency can be improved and enhanced based on the input data. Then the data are gathered and routed to the destination where resource utilization is diminished and network lifetime gets expanded using a grouping-based central entity. In the performance analysis, the ranking the data and similarity are determined along with the evaluation of energy consumption and scheduling length compared with existing DICA and DICA extension.
Keywords: Organization, Data Aggregation, Fuzzy, Neural, data interruption, Resource utilization.
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DOI:
10.17148/IJARCCE.2022.111204
