In the context of Smart Cities, one of the main indispensable elements required by a city is the electric power, for which electric towers are used to distribute it. Transmission towers have electrodes which need to be reviewed on a regular basis by controlling its resistance in order to assure avoidable malfunctions not to appear. From the point of view of Smart Cities, it is possible to address this maintenance task by trying to minimize the cost of operation through the estimation of values and the reduction of the size of the population sample. To do so, the use of an intelligent-agent virtual-organization based architecture is proposed within this working environment, which by using mathematical estimation models and agreement based negotiations it is capable of maximizing the estimations, minimizing the associated cost. The proposed model is evaluated in a simulator through a real case study, which allows validating the proposed approach.