This paper proposes a novel and computationally efficient global　I< optimization method based on swarm　ntelligence for locating ti nodes in a WSN environment. The mean squared range error of　a
all neighbouring anchor nodes is taken　as the objective function　d for　this　non linear　optimization problem. The Particle Swarm　c
Optimization (PSO)　is　a high performance　stochastic　global　b optimization tool　that ensures the minimization of the objective　a
function,　,This paper proposes a novel and computationally efficient global　I< optimization method based on swarm　ntelligence for locating ti nodes in a WSN environment. The mean squared range error of　a
all neighbouring anchor nodes is taken　as the objective function　d for　this　non linear　optimization problem. The Particle Swarm　c
Optimization (PSO)　is　a high performance　stochastic　global　b optimization tool　that ensures the minimization of the objective　a
function,