In WSN, data aggregation is an important part of the data collection process. It is used to reduce network traffic and reduce energy consumption. However, this process comes with a cut-off between energy balance and delay. This cut-off is due to the competing interests of the nodes in the network: the sensors require energy to transmit data, while the sinks require low delays in data collection. In order to maintain energy balance and reduce delay, the system must select suitable methods of data aggregation that are both energy-efficient and low-delay. To reduce energy consumption, the system can use energy-conserving data aggregation protocols, such as clustering and tree-structured routing. To reduce delay, they system can use low-delay data aggregation techniques, such as time synchronization and distributed aggregation. By understanding the cut-off between energy balance and delay in I-NDA, it is possible to make informed decisions on the selection of suitable protocols and techniques to ensure energy-efficiency and low-delay data collection. It is important to select the right set of protocols and techniques to balance the efficiency and delay parameters.
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Kumar et al. (2024) studied this question.
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