Abstract
SummaryWireless sensor networks (WSNs) have become increasingly important in recent years. Small and low‐power sensor nodes make up these sensor networks. A random distribution of nodes is made throughout an unmanaged target region. One of WSN's key challenges is its limited and irreplaceable energy supply. In most situations, sensor nodes cannot be replaced since they operate in a hostile physical environment. The act of gathering and aggregating usable data from different sensor nodes situated to perceive almost the same attribute of the occurrence is known as data aggregation. The mathematical model is used in this research study to generate cluster‐based data aggregation, which is an effective technique to increase energy usage by minimising the number of data transfers. The proposed mathematical model‐based data aggregation (MM‐DA) attains a 97% packet delivery ratio with minimal energy consumption. The MM‐DA outperforms other existing approaches in terms of packet delivery ratio (PDR), energy consumption (EC), network lifetime and control overhead.
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