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A cycle-based data aggregation scheme for grid-based wireless sensor networks.

Yung-Kuei Chiang1, Neng-Chung Wang2, Chih-Hung Hsieh3

  • 1Department of Computer Science and Information Engineering, National United University, Miaoli 36003, Taiwan. ykchiang@nuu.edu.tw.

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A new Cycle-Based Data Aggregation Scheme (CBDAS) for wireless sensor networks (WSNs) extends network lifetime. By forming cyclic chains of cell heads for data aggregation and transmission, CBDAS reduces energy consumption and distributes node depletion evenly.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) face significant energy constraints due to battery-powered nodes.
  • Data transmission, especially over long distances to a base station (BS), is a major energy consumer in WSNs.
  • Efficient routing protocols are crucial for prolonging the operational lifetime of WSNs.

Purpose of the Study:

  • To propose a novel routing protocol for grid-based WSNs to enhance network longevity.
  • To reduce overall energy consumption by optimizing data transmission and aggregation strategies.
  • To ensure balanced energy depletion across sensor nodes for extended network lifetime.

Main Methods:

  • The proposed Cycle-Based Data Aggregation Scheme (CBDAS) divides the sensor field into a grid with cell heads.
  • Cell heads form a cyclic chain, enabling bidirectional data movement and aggregation.
  • Nodes alternate roles as cell heads and cycle leaders to distribute energy load.

Main Results:

  • CBDAS substantially reduces the volume of data transmitted to the base station through data aggregation at each cell head.
  • The number of data transmissions is significantly diminished as only cell heads transmit data.
  • Simulation results indicate that CBDAS outperforms existing protocols such as Direct, PEGASIS, and PBDAS.

Conclusions:

  • CBDAS effectively extends the lifetime of wireless sensor networks by optimizing energy usage.
  • The scheme's cyclic data aggregation and balanced load distribution contribute to improved network performance.
  • CBDAS presents a viable solution for energy-efficient routing in grid-based WSNs.