BioWSN: A Bio-Inspired Method for Optimization of Routing in Wireless Sensor Networks

Algorithm 2

Routing.

	: set of cluster heads.
	m: number of grey wolves.
	: Random generation of grey wolves.
	Setting initial values of , , and .
	: total number of iterations.
	Fitness evaluation of each grey wolf.
	: the best solution.
	: second best solution.
	: third best solution.
	whiledo
	for each in do
	Update the position of
	end for
	Update , , and
	Evaluate the fitness of all grey wolves using equations (20)–(22)
	Map a new position for and move it there if it’s improved
	Update , , and
	end while
	return as the solution for routing.