and the implications of the human actions in the environment (i.e. climate change [7], ocean acidification [8] or fishing exploitation [9]), have led to the development of new technologies and strategies. These have pushed the boundaries of traditional tracking methods such as presence/absence detections and long baseline (LBL) systems [10].In addition, other studies have focused on the development of new tags, which have been specifically designed to accomplish challenging tasks. For example, in [11] the authors proposed a flexible and stretchable skin-like tag, or in [12] where a soft-bodied invertebrate eco-sensor tag is presented. Nonetheless, these tags work as dataloggers, and must be recovered to download the information, or the animal must reach the surface to have access to it through land-based wireless communications (i.e. Bluetooth or satellite). Others, such as [13], [14] have focused on piezoelectric transducers design to maximise acoustic tag performance.At present, all the acoustic tags have a unidirectional communication protocol (i.e. the tag transmits an acoustic signal, which is recorded by a receiver, but cannot receive any signal by an external device). This characteristic introduces important limitations such as: (i) the impossibility to configure the tag after the deployment; (ii) the difficulty to compute the distance between the tag and the receiver (i.e. the time of flight (TOF)), and therefore, range-based target tracking methods are not possible [15], [16]; and (iii), the limitation of tag intercommunication, which could difficult the implementation of acoustic underwater networks, and use the tagged species as mobile nodes.To improve the current state-of-the-art of electronic tags, we propose a bidirectional tag device which will allow more accurate studies and will open a new wide tracking capability using autonomous underwater vehicles and range-based algorithms. Moreover, thanks to the embedded microprocessor, the tag could also be used to create an underwater wireless sensor network (UWSN) [17], enabling IoT applications and swarm concepts [18].