Gwlbc: gray wolf optimization based load balanced clustering for sustainable wsns in smart city environment

HIGHLIGHTS

  • who: Surjit Singh et al. from the Patiala, India School of Computer Science Engineering and Technology, ITM SLS Baroda University, Vadodara, India have published the paper: GWLBC: Gray Wolf Optimization Based Load Balanced Clustering for Sustainable WSNs in Smart City Environment, in the Journal: Sensors 2022, 7113 of /2022/
  • what: Conversely in this work load-balanced clustering for sustainable WSNs is presented using improved optimization (IGWO). In this work, an improved GWO is proposed for the sustainable WSNs in a smart city environment where the performance matrix involves the network lifetime, coverage area and energy . . .

     

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