Data-Foraging-Oriented Reconnaissance Based on Bio-Inspired Indirect Communication for Aerial Vehicles
AbstractIn recent years, aerial vehicles have allowed exploring scenarios with harsh conditions. These can conduct reconnaissance tasks in areas that change periodically and have a high spatial and temporal resolution. The objective of a reconnaissance task is to survey an area and retrieve strategic information. The aerial vehicles, however, have inherent constraints in terms of energy and transmission range due to their mobility. Despite these constraints, the Data Foraging problem requires the aerial vehicles to exchange information about profitable data sources. In Data Foraging, establishing a single path is not viable because of dynamic conditions of the environment. Thus, reconnaissance must be focused on periodically searching profitable environmental data sources, as some animals perform foraging. In this work, a data-foraging-oriented reconnaissance algorithm based on bio-inspired indirect communication for aerial vehicles is presented. The approach establishes several paths that overlap to identify valuable data sources. Inspired by the stigmergy principle, the aerial vehicles indirectly communicate through artificial pheromones. The aerial vehicles traverse the environment using a heuristic algorithm that uses the artificial pheromones as feedback. The solution is formally defined and mathematically evaluated. In addition, we show the viability of the algorithm by simulations which have been tested through various statistical hypothesis. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Castañeda Cisneros, J.; Pomares Hernandez, S.E.; Perez Cruz, J.R.; Rodríguez-Henríquez, L.M.; Gonzalez Bernal, J.A. Data-Foraging-Oriented Reconnaissance Based on Bio-Inspired Indirect Communication for Aerial Vehicles. Appl. Sci. 2017, 7, 729.
Castañeda Cisneros J, Pomares Hernandez SE, Perez Cruz JR, Rodríguez-Henríquez LM, Gonzalez Bernal JA. Data-Foraging-Oriented Reconnaissance Based on Bio-Inspired Indirect Communication for Aerial Vehicles. Applied Sciences. 2017; 7(7):729.Chicago/Turabian Style
Castañeda Cisneros, Josué; Pomares Hernandez, Saul E.; Perez Cruz, Jose Roberto; Rodríguez-Henríquez, Lil María; Gonzalez Bernal, Jesus A. 2017. "Data-Foraging-Oriented Reconnaissance Based on Bio-Inspired Indirect Communication for Aerial Vehicles." Appl. Sci. 7, no. 7: 729.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.