MAINTAINING UNIFORM DENSITY AND MINIMIZING THE CHANCE OF ERROR IN A LARGE SCALE WSN

In a real application area, the WSN is not a homogeneous network where the nodes are maintained in respective coordinate position relatively same to each other. But rather homogeneous it should be heterogeneous, where the relative positional difference for different nodes are different. In this paper a better scheme is being proposed which will take care of the life time and density of a WSN. Sun et. al. proposed uniform density in WSN by assuming the network as a homogeneous network ,but in this paper without taking a homogeneous network the same problem is being solved by using the Gaussian probability density function. And also the chance of error in receiving the message from the WSN to the base station is minimized by using priori probability algorithm.