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Research on Cluster Routing Technique for Energy Balancing in Wireless Sensor Networks Based on Optimized Pruning Technique

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(5), pp.53-63
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : August 19, 2024
  • Accepted : October 8, 2024
  • Published : October 31, 2024

Li Dongliang 1 Min, Byung-Won 2

1목원대학교 정보통신융합공학부
2목원대학교

Accredited

ABSTRACT

The rapid development of wireless sensor network technology has garnered significant attention from researchers. In extensive distributed networks, these applications often rely on battery power. Given the limited energy capacity of batteries, effective energy management is crucial for improving network performance. Wireless sensor networks consist of numerous sensor nodes, where energy consumption is primarily driven by these nodes. In clustering protocols, certain nodes repeatedly serve as cluster heads, resulting in increased energy consumption compared to other nodes. This energy-balancing algorithm employs pruning techniques to evaluate and analyze a node's position, its frequency of acting as a cluster head, and its remaining energy. Additionally, it includes a dynamic adjustment mechanism for selecting the cluster head node. Experimental results demonstrate that this algorithm extends the operational duration of sensor nodes, thereby effectively prolonging the lifespan of the wireless sensor network.

Citation status

* References for papers published after 2023 are currently being built.