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<p>Wireless sensor networks (WSNs) need energy-efficient data aggregation protocols in order to extend the network lifetime and ensure reliable data delivery. In this paper, we present an energy-efficient adaptive data aggregation with ordering points to identify the clustering structure (EEADA-OPTICS) framework that synergistically combines the OPTICS based cluster structure identification with QoS-aware adaptive aggregation and data collection assisted by mobile agents for achieving node energy efficiency. The proposed method adaptively chooses cluster heads according to residual energy, node density and data priority for the efficient aggregation and transmission. Simulation results show that EEADA-OPTICS increases network lifetime by 40%, and prolongs the stability period of the network by 30% as well as improving packet delivery ratio by 4–8% with respect to other state-of-the-art protocols such as LEACH-GA, CBRP, EEUC and EHL with a significant saving in energy consumption. These results suggest that EEADA-OPTICS is an effective and scalable solution for energy-constrained WSN applications.</p>

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Energy-efficient adaptive data aggregation with ordering points to identify the clustering structure in wireless sensor networks

  • 期刊论文

  • 发表日期：

    2026年3月5日

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  • Yalabaka Srikanth,
  • Kalpana Naidu

摘要

Wireless sensor networks (WSNs) need energy-efficient data aggregation protocols in order to extend the network lifetime and ensure reliable data delivery. In this paper, we present an energy-efficient adaptive data aggregation with ordering points to identify the clustering structure (EEADA-OPTICS) framework that synergistically combines the OPTICS based cluster structure identification with QoS-aware adaptive aggregation and data collection assisted by mobile agents for achieving node energy efficiency. The proposed method adaptively chooses cluster heads according to residual energy, node density and data priority for the efficient aggregation and transmission. Simulation results show that EEADA-OPTICS increases network lifetime by 40%, and prolongs the stability period of the network by 30% as well as improving packet delivery ratio by 4–8% with respect to other state-of-the-art protocols such as LEACH-GA, CBRP, EEUC and EHL with a significant saving in energy consumption. These results suggest that EEADA-OPTICS is an effective and scalable solution for energy-constrained WSN applications.