International Journal of Wireless and Ad Hoc Communication
  IJWAC
  2692-4056
  
   10.54216/IJWAC
   https://www.americaspg.com/journals/show/762
  
 
 
  
   2019
  
  
   2019
  
 
 
  
   Optimal Algorithm for Shared Network Communication Bandwidth in IoT Applications
  
  
   Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Malaysia
   
    Ahmed
    Ahmed
   
   Electrical Engineering Department, Ecole de technologie superieure, Montreal, Canada
   
    Mhmed
    ..
   
   College of Computer Information Technology, American University in the Emirates, Dubai, UAE
   
    Ahmed N. Al
    Al-Masri
   
  
  
   In recent years, a variety of wired and wireless network communication protocols in the field of industrial control have become increasingly mature. The purpose of this paper is to provide a Shared network communication bandwidth optimization management algorithm for large-scale industrial networked control systems in Internet of things applications. This algorithm is based on the generalized geometric convex optimization method and can realize the optimal allocation of Shared network communication bandwidth resources. L2 networked control systems is used in this paper for the establishment of various numerical relations between the control performance and the communication network parameters. Based on the generalized geometric convex optimization method for the numerical relationship between convex analysis and fitting, convexity, and with the convex analysis and the numerical relationship between convexity fitting as constraint conditions, the results of integrity for networked control systems with large-scale resource allocation target will share the optimal management of network resources as a generalized geometric convex optimization problem. Using convex optimization software package for optimizing the optimal global solution of management problem, i. e. the optimal allocation of resources, the algorithm realizes the stability of each networked control system and achieve optimal L2 control performance. It is concluded that the predetermined transmission rate between the network node one and network node two, the data flow information sent by the network node two to the network node one is read, the delay time and packet loss rate between the two nodes are determined, the delay time is reduced by about 8 seconds, and the packet loss rate is greatly reduced by 78%.
  
  
   2021
  
  
   2021
  
  
   33
   48
  
  
   10.54216/IJWAC.020103
   https://www.americaspg.com/articleinfo/20/show/762