Optimal DBS Placement in IoT Networks to Minimize Power Consumption Using Grasshopper Optimization Algorithm

One of the basic challenges that the sixth‐generation (6G) telecommunication is facing is the possibility of wide coverage to users in diverse geographical environments. Due to environmental events and unforeseen events such as problems with ground base stations, sometimes the services of these ground stations are disrupted, and as a result, to serve users and cover them, a drone base station (DBS) must be used. But the cost of creating the infrastructure for DBS is very high, and it should be possible to provide the maximum coverage for users with the least number of DBS. Therefore, the location of DBS is very important. Also, in order to provide services to users with the best quality, DBSs should be placed optimally in such a way that power consumption is minimized. In this research, we have presented a scheme based on the grasshopper optimization algorithm (GOA) for the optimal location of DBSs in IoT networks. Specifically, we conducted a performance analysis of one distinct scenario. Employing various intelligence strategies, the proposed method has been very successful in the optimal location of DBSs compared to other methods, and it has performed better in terms of power consumption.