PSO and FPO Based Optimization for Maximum Energy Harvesting in Wireless Sensor Network
Author(s):
S. Thiyagarajan , Assistant Professor, Department of Electronics Science, Jaya College of Arts and Science, Thiruninravur. ; P. Gowthaman, Assistant Professor, Department of Electronics, Thin film Centre, Erode Arts and Science College, Erode.; M. Venkatachalam, Associate Professor, Department of Electronics, Thin film Centre, Erode Arts and Science College, Erode.; M. Saroja, Associate Professor, Department of Electronics, Thin film Centre, Erode Arts and Science College, Erode.
Keywords:
Energy Harvesting, FPO, MPC, PSO and Wireless Sensor Networks
Abstract:
The reduction of the energy consumption is compensated by harvesting RF energy of a WSN using a techniques realized to practical extent, considering the numerous forced limitations. In scheming energy harvesting regulation, techniques were suggested in control methods. The techniques reserved must promise in such a way the limitations are forced by the utility with regard to the quantity of acquired data is attained, whereas the lifetime of the network is increased, in contrast to present and simple arraying. Amidst several control techniques, Model predictive control (MPC) is a one of the important controlling methods. It has several effective uses. This paper contrasts MPC method for automated tuning with Flower Pollination Optimization (FPO) and Particle Swarm Optimization (PSO). The major confrontation of MPC is in tuning of control factors for several WSN targets, and PSO or FPO application for automated tuning may become member of solutions. The computational results for energy harvest of WSN reveal the influence of the suggested PSO and FPO dependent tuning.
Other Details:
| Manuscript Id | : | IJSTEV5I6027
|
| Published in | : | Volume : 5, Issue : 6
|
| Publication Date | : | 01/01/2019
|
| Page(s) | : | 71-75
|
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