Mobile Cognitive Radio Networks have become an option for convergent wireless communications due to their flexibility and adaptability in real-time to the characteristics of the radio environment. The mobility of the cognitive radios presents a challenge because they recognize just a part of the network, ignoring other secondary or primary users behavior, except in the centralized architecture. The cooperative networks appear as an alternative to share information between users allowing the detection of primary network users, with the main objective of not affecting the network of the operators. This work shows the results of applying cooperative energy detection in mobile cognitive radio networks using software-defined radio equipment showing an improvement over the individual detection.