Optimal Sensor Placement with Terrain-Based Constraints and Signal Propagation Effects

Designing a Surveillance Sensor Network with Information Clearinghouse for Advanced Air Mobility

“…[49] provided an overview of the state-of-the-art in the area of optimization of sensor placement for SHM applications. The optimal sensor placement problem addressed in [50] aimed to select appropriate types and locations of sensors that could cover high-value terrain areas while minimizing a cost function. The probability of detection was assumed to depend on terrain conditions and obstructions.…”

“…The first feature involves considering multi-type sensors to utilize the characteristics of various sensors in developing a heterogeneous sensor network, providing coverage at a lower cost. Among the relevant studies, only [50] considered this feature, but that study focused on three sensor types, whereas our study incorporates twice as many, including six sensor types. The second feature of our study involves considering the probability of the misdetection of sensors, a crucial parameter that most of the studies did not take into account.…”

“…Similar to [42,50], we also incorporated a minimum required detection probability constraint in our study, which is the eighth feature of our study. In the field of AAM, compared to any other field, a minimum required detection probability value, for example, 95-99%, is considered to ensure a higher level of detection and tracking accuracy.…”

“…While these algorithms have their advantages, one of their limitations is the inability to guarantee global optimal solutions, as discussed earlier. Although [50] guarantees global optimal solutions, that study did not consider the fourth, sixth, and ninth features and included fewer blocks than our study. In contrast, our SAND model ensures global optimal solutions while collectively considering all the features discussed above.…”

“…An effective solution to address this issue is to ensure sufficient sensor coverage at a specific location by installing an adequate number of sensors. This ensures that at least one sensor can track aircraft that meet the minimum detection probability requirement, which is the minimum probability of detecting an aircraft that must be met by sensors to ensure reliable detection [50]. For example, if two sensors are placed at a location, each with a detection probability of 0.8, the probability that at least one of the sensors will detect the aircraft is 0.96.…”