Original scientific paper

https://doi.org/10.17559/TV-20241113002126

AEETMS: An Attribute-Based Energy Efficient Scheduling Scheme for Enhanced Performance and Longevity in Wireless Sensor Networks

Khadirkumar N. ; Department of CSE, Mahabarathi Engineering College, Anna University, Tamil Nadu, India *
Bharathi A. ; Department of IT, Bannari Amman Institute of Technology, Erode District, Tamil Nadu, India

* Corresponding author.

Abstract

Wireless Sensor Networks (WSNs) are gaining increasing popularity due to their ability to provide comprehensive coverage through sensor nodes that span across an entire infrastructure. These networks are widely employed in military applications, where node mobility and recovery are critical for tasks such as program searching and data prioritization. The performance of WSNs heavily depends on the adoption of efficient scheduling techniques to address energy constraints and communication challenges. In this context, we propose an Attribute-based Energy Efficient Traffic Minimization Scheduling (AEETMS) scheme to enhance network performance and extend its lifetime. Our approach begins by estimating the initial energy of nodes before scheduling transmission channels, thereby improving network longevity. The network topology is first transformed into a mixed graph model, which helps to reduce interference and energy consumption among communication nodes through multitasking table techniques. Next, the initial scheduling is performed using Energy-Aware Data Aggregation (EADA). Unused nodes are efficiently identified and managed to conserve energy and minimize time complexity. The proposed method estimates the Packet Loss Rate (PLR) at each node, prioritizing packet transmission based on importance. High-priority packets are allocated time slots and transmitted continuously, superseding lower-priority data packets. To further optimize data aggregation, selecting an appropriate parent node for packet transmission is crucial. Once data aggregation is optimized, nodes transmit fewer packets, significantly reducing energy consumption. Performance metrics such as energy consumption, throughput, and delivery ratio are analyzed to evaluate the effectiveness of the AEETMS scheme. Comparisons with existing methods demonstrate that AEETMS outperforms them in terms of energy efficiency and network throughput.

Keywords

Attribute based Energy Efficient Traffic Minimization Scheduling (AEETMS); Energy Aware Data Aggregation (EADA); energy consumption; Packet Loss Rate (PLR); Wireless Sensor Networks (WSNs)

Hrčak ID:

335057

URI

https://hrcak.srce.hr/335057

Publication date:

30.8.2025.

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