In order to achieve the most energy-efficient outcomes for wireless sensor networks (WSNs), this study suggests a unique energy-efficient routing protocol based on artificial inelegance approaches. The main goal of the project is to create a new routing protocol that will extend the lifetime of the network by reducing energy consumption through data compression and balanced energy usage. Next, utilizing the simulation tool in wireless sensor networks, the simulation is carried out for the suggested model. The network lifetime in the simulation scenarios is presented by the suggested model, which is assessed in the simulations based on the energy consumption of the network, the quantity of dead nodes, the throughput of the network, and the network’s delay versus the number of rounds in the network.

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An Energy-Efficient WSN Routing Protocol Using Genetic Algorithms and Predictive Coding

  • Behzad Oveisi,
  • Michel Kadoch,
  • Qia Li,
  • Tao Hong

摘要

In order to achieve the most energy-efficient outcomes for wireless sensor networks (WSNs), this study suggests a unique energy-efficient routing protocol based on artificial inelegance approaches. The main goal of the project is to create a new routing protocol that will extend the lifetime of the network by reducing energy consumption through data compression and balanced energy usage. Next, utilizing the simulation tool in wireless sensor networks, the simulation is carried out for the suggested model. The network lifetime in the simulation scenarios is presented by the suggested model, which is assessed in the simulations based on the energy consumption of the network, the quantity of dead nodes, the throughput of the network, and the network’s delay versus the number of rounds in the network.