Wireless Sensor Networks (WSNs) is a group of spatially dispersed autonomous sensor devices, named motes. These motes have a microcontroller, sensors, are powered by AA or AAA batteries, and mainly have the ability to communicate using the IEEE 802.15.4 standard. The motes communicate between them inside the WSN exchanging packets using a multi-hop routing. They use a very low amount of power (below 100 mW). This limits the maximum communication distance between motes within the WSN. Usually, one mote acts as a gateway to other networks and this mote is also called sink or simply Base Station (BS), and the data collected by the sensors of each mote are sent to this mote. The maximum distance between the BS and the nearest mote is below 100 m because of the power limitations of the motes. If the WSN-BS distance is above this boundary, the communication will surely fail. We propose a new technique in order to achieve a long range communication from the WSN, for instance to communicate to a Low Earth Orbit (LEO) satellite. Many proposals in the literature based on Collaborative Beamforming (CB), also known as Distributed or Cooperative Beamforming, for these long range communications are found, however the synchronization of clocks is an almost impossible task given the simplicity and cheapness of the architecture of the motes. To overcome this problem, we propose a new technique, named Stochastic Collaborative Beamforming (SCB), in which we take advantage of the synchronization errors of the clocks. In SCB, it is possible to obtain the adequate time delay that permits the interference or sufficient gain in the direction of the receiver. This gain is obtained from interfering independent signals coming from each mote of the WSN, using a repetition scheme. Although it does not get all the nominal gain that could be obtained in case of a perfect synchronization, it does get a sufficient gain to reach the BS with limited power consumption.Electronics 2018, 7, 417 2 of 19 installed and working, they transmit the information provided by the sensors to the Base Station (BS), also known as sink or gateway, which in turn can supply the information to an external server. WSNs thus allow monitoring of physical or environmental conditions, such as temperature, sound, humidity, pressure, noise, movement or pollutants. WSN were initially developed for military applications, such as battlefield surveillance. They are now used in a multitude of industrial and civil applications [2], in industrial process monitoring and control, machine monitoring, environmental parameter monitoring, traffic control, healthcare, and automation and habitat monitoring in home automation applications. These networks can also be deployed in areas of difficult access or under very adverse conditions, such as mountainous areas, jungles, deserts, mines, skyscrapers, etc. The duration of the batteries determines the duration of its correct operation which can be months or years, depending on the sensors consumption and the energy used by the transmissions ...