OPTIMISING WIRELESS SENSOR NETWORK THE GEOGRAPHICAL DISTRIBUTION IN REAL TIME USING A LOW-COST MICROCONTROLLER.
Keywords:
:Microcontrollers, particle swarm optimization (PSO), wireless sensor network (WSN).Abstract
This research presents a low-cost microcontroller-based system that uses pedometer measurements and communication between nodes in a wireless sensor network for localisation purposes. The proposed system performs effectively on a sparse network, unlike other methods that rely on good network connectivity.to solve nonlinear equations in real time during localisation, two optimisation algorithms have been investigated: The Gauss-Newton algorithm and particle swarm optimisation. The localisation and optimisation methods were built using a microcontroller. Experiments were conducted to evaluate efficiency.
References
F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: A survey,” Comput. Netw., vol. 38, no. 4, pp. 393–422, Mar. 2002.
K. S. Low, W. N. N. Win, and M. J. Er, “Wireless sensor networks for industrial environments,” in Proc. Int. Conf. Comput. Intell. Model., ControlAutom., 2005, pp. 271–276.
C. A. Hudson, N. S. Lobo, and R. Krishnan, “Sensorless control of sin gle switch-based switched reluctance motor drive using neural network,” IEEE Trans. Ind. Electron., vol. 55, no. 1, pp. 321–329, Jan. 2008.
