An innovative hyperheuristic, gaussian clustering scheme for energy-efficient optimization in wireless sensor networks

HIGHLIGHTS

  • who: Oluwasegun Julius Aroba and colleagues from the ICT and Society Research Group, Information Systems, Durban University of Technology, Durban, South Africa have published the research work: An Innovative Hyperheuristic, Gaussian Clustering Scheme for Energy-Efficient Optimization in Wireless Sensor Networks, in the Journal: Journal of Sensors of 11/02/2021
  • what: In this study using simulation the performance of highly developed clustering algorithms namely DEEC EDEEC_E and DDEEC was compared to the proposed Gaussian Elimination Clustering Algorithm (DEEC-Gauss).
  • how: The displayed results were presented in Tables 2-5 for heterogeneous initial . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?