Abstract
The moon has always been a goal for humanity in history to reach and discover. Since the 1950s, many missions have been carried out in order to achieve this goal. Wireless sensor networks can be a good tool for discovering some of the features of the moon and acquiring very important information for the missions to the moon and beyond to be performed soon. The deployed seismic, monitoring, light, temperature, pressure, etc. types of sensors on the surface of the Moon can collect vital data for the missions. Therefore, in this paper, the wireless sensor deployment problem on the surface of the Moon is studied to maximize coverage. Since the deployment of sensors on 3-D terrain is an NP-hard problem, a hybrid memetic algorithm is developed to solve. The real 3-D digital elevation model of the surface of the Moon for two different terrains near the South Pole is used to test the performance of the proposed algorithm with 64 scenarios and the results are compared with local search and simulated annealing algorithms. According to the results, the proposed hybrid memetic algorithm has better coverage values than the others in acceptable CPU times.
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