“…Our work is different from recent works in the literature such as [12] which uses a Kalman filter as a prediction model, combines hello messages and node mobility prediction, and uses the ALOHA-like [2] mechanism with transmission probability 0.5, [13] that uses prior information from radars to accelerate the speed, integrates radar and communication, the protocol is 3-way but feedback might collide, and uses directional transmission and directional reception, [14] where the protocol combines routing and neighbor discovery, without having a priori knowledge of the network parameters (such as size, topology or mobility), [15] presenting a cross-layer protocol that performs neighbor discovery in the MAC layer, hello messages are sent periodically after a random backoff in a TDMA method, with the aid of hexagonal clustering and GPS to update the latest information of neighbors, [16] which uses directional antennas, and model neighbor discovery as a finite-state learning automaton, the protocol operates in a ALOHA-like manner, 2-way handshaking on the same beam where nodes transmit or receive with equal probability, [17] that integrates radar and communication, using directional antennas, making use of a two-way handshaking for each direction sending hello messages, in [3] neighbor discovery with social recognition under a passive discovery framework, broadcasts a wake-up radio signal before the hello message broadcast to trigger from idle to active modes, hello messages are integrated with social information, and neighbor discovery is performed in the MAC layer, [4] beacons are separated from active slots, a periodical broadcast of beacons can be dynamically adjusted to accelerate the discovery, and proactive wake-up is available. Most of these protocols are used in mobile environments.…”