JISE


  [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18]


Journal of Information Science and Engineering, Vol. 34 No. 4, pp. 835-849


Integrated Fuzzy Control to Power Management on Event-based Sensor Node


ANURADHA PUGHAT1 AND VIDUSHI SHARMA2
1Department of Electronics and Communication Engineering
Jaypee Institute of Information Technology
Noida, Uttar Pradesh, 201 304 India

2School of Information and Communication Technology
Gautam Buddha University, Greater Noida
Uttar Pradesh, 201 308 India
E-mail: {anuradha.pughat1; svidushee2}@gmail.com


   This paper demonstrates how a fuzzy controller based dynamic power management (FCDPM) model for wireless sensor node saves a significant amount of power than traditional systems. The stochastic behavior of input event arrival is modeled with firstin-first-out (FIFO) queue and single server handled with FCDPM that improves lifetime and minimizes the delay in servicing the events. Compared with the previous research on power consumption of a wireless sensor node, this SimEvents model gives an easier implementation of sensor node with its system-level performance metrics in terms of power consumption, delay, lifetime and processor utilization for non-stationary workloads. The power saving of a single sensor node is analysed for forest fire detection and it can be further implacable in several energy-hungry wireless sensor network applications.


Keywords: fuzzy control, lifetime improvement, power consumption, sensor node, Simulink model, wireless sensor networks

  Retrieve PDF document (JISE_201804_04.pdf)