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Adaptive Aggregation Routing to Reduce Delay for Multi-Layer Wireless Sensor Networks.

Xujing Li1, Anfeng Liu2,3, Mande Xie4

  • 1School of Information Science and Engineering, Central South University, Changsha 410083, China. xujingli@csu.edu.cn.

Sensors (Basel, Switzerland)
|April 17, 2018
PubMed
Summary
This summary is machine-generated.

The Adaptive Aggregation Routing (AAR) scheme improves wireless sensor network (WSN) performance by dynamically adjusting data aggregation. This reduces delay and increases network lifetime and energy efficiency.

Keywords:
aggregation delayaggregation ratiodata aggregationenergy efficiencywireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communications

Background:

  • Quality of Service (QoS) in wireless sensor networks (WSNs) is critical for applications, focusing on delay, lifetime, and reliability.
  • Data aggregation is a key technique to reduce data transmission volume and extend WSN lifetime.
  • Existing data aggregation methods can increase delay by requiring data to wait in queues until aggregation thresholds or timers are met.

Purpose of the Study:

  • To introduce the Adaptive Aggregation Routing (AAR) scheme to enhance QoS in WSNs.
  • To dynamically adjust data aggregation parameters to optimize network performance.
  • To improve end-to-end delay, network lifetime, and energy efficiency in WSNs.

Main Methods:

  • Developed the AAR scheme where senders dynamically select forwarding nodes based on data queue length.
  • Implemented an improved AAR scheme with dynamically adjusted aggregation deadline (Tt) and threshold (Nt).
  • Configured Tt and Nt values based on node proximity to the sink to balance delay and energy consumption.

Main Results:

  • The AAR scheme dynamically routes data to nodes with longer queues, optimizing aggregation.
  • The improved AAR scheme dynamically adjusts aggregation parameters, reducing delay for nodes far from the sink and conserving energy for nodes near the sink.
  • Simulations show AAR reduces delay by 14.91%, improves lifetime by 30.91%, and increases energy efficiency by 76.40% compared to previous schemes.

Conclusions:

  • The AAR scheme effectively reduces delay and enhances WSN lifetime and energy efficiency.
  • Dynamic adjustment of aggregation parameters based on node location is crucial for optimizing WSN performance.
  • The proposed AAR scheme offers significant improvements in QoS for wireless sensor networks.