A hybrid cross layer with harris-hawk-optimization-based efficient routing for wireless sensor networks

HIGHLIGHTS

  • who: Xingsi Xue and colleagues from the Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China have published the research work: A Hybrid Cross Layer with Harris-Hawk-Optimization-Based Efficient Routing for Wireless Sensor Networks, in the Journal: Symmetry 2023, 15, 438. of /2023/
  • what: The aim of WSN is to collect data from the environment, but, due to resource constraints, data collected by sensor nodes for BS will necessitate another efficient solution. Obtaining these facts, this study proposes several algorithms to solve these problems . The aim . . .

     

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