Privacy Preserving Data Aggregation Algorithm for IoT-Enabled Advanced Metering Infrastructure Network in Smart Grid

Abstract

The integration of emerging IoT (internet of things) technologies into utility control centers have data exchange between smart appliances, smart meters (SM), data collector (DC) and control center server (CCS). The DC controls the receiving and processing of advanced metering infrastructure (AMI) applications data from multiple SM. To address the issues associated with DC, SM are proposed to act as a relay device. The SM face communication challenges during peak hours when a significant amount of data with varying traffic rates and latency is exchanged within the utility control center. The challenges related to AMI in the context of smart grids focus the role of DC and hybrid data aggregation strategy. A hybrid data aggregation strategy is implemented on a cluster head aggregator (CA) within a clustering topology and the aggregated data are sliced to ensure privacy is proposed. In the proposed algorithm, CA reduces the workload of cluster-head (CH), targets interval meter reading (IMR) application data for aggregation, and efficiently utilizes the constrained resources of AMI devices are evaluated using the network simulator.