2017 IEEE Symposium on Computers and Communications (ISCC) (2017)
July 3, 2017 to July 6, 2017
Emmanuel Tuyishimire , Computer Science, University of the Western Cape, Cape Town, South Africa
Antoine Bagula , Computer Science, University of the Western Cape, Cape Town, South Africa
Slim Rekhis , Cartage University, Tunis, Tunisia
Noureddine Boudriga , Cartage University, Tunis, Tunisia
Data muling using UAVs/drones is currently emerging as an alternative to the traditional traffic engineering techniques used in wireless sensor networks, when wireless communication is not an option or the least cost-efficient solution. This paper revisits the issue of traffic engineering in Internet-of-Things (IoT) settings, to assess the relevance of using UAVs for the persistent collection of sensor readings from the sensor nodes located into an environment and their delivery to base stations where further processing is performed. We consider a persistent path planning and UAV allocation model, where a team of UAVs coming from various base stations are used to collect data from ground sensors and deliver the collected information to their closest base stations. This problem is mathematically formalised and proven to be NP-hard. We propose a heuristic solution for the problem and evaluate its relative efficiency through simulation.
Base stations, Sensors, Data models, Data collection, Mathematical model, Wireless sensor networks, Resource management
E. Tuyishimire, A. Bagula, S. Rekhis and N. Boudriga, "Cooperative data muling from ground sensors to base stations using UAVs," 2017 IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017, pp. 35-41.