The use of Wireless Sensors Network (WSN) is growing not only in popularity, but also in scope and application. Poised to shape the way we monitor the environment, wireless sensors has a lot of potentials waiting to be unlocked. Performance of WSN is largely determined by coverage and positioning of the sensor nodes. However, to be accepted as de-facto solution for monitoring different phenomena in our physical world, it is necessary to develop acceptable standards for its configuration and deployment. Motivated by this requirement, this paper investigates Kriging interpolation algorithm as an efficient location management system. With the aid of Kriging interpolation, it will be demonstrated later in this paper how targets of interest can be classified and monitored in a distributed manner for better accuracy. Effectiveness of this method on a large scale was established by applying it to temperature-based sensor network in a dynamic environment. Kriging interpolation sensor management is expected to improve coverage, reduce power consumption and enhance performance of sensor nodes and by extension the network.