Density-Based Pruning of Drone Swarm Services
Abstract
We propose a novel framework for the recommendation of swarm-based drone delivery services based on the consumers preferences. We propose a density-based pruning approach that uses the concept of partnerships with charging station providers to reduce the search space of swarm-based drone service delivery providers. A weighted service composition algorithm is proposed that considers the providers capabilities and consumers' preferences in selecting the best next service. We propose a voting-based recommendation algorithm to select the best providers. We conduct a set of experiments to evaluate the efficiency of the framework in terms of consumer satisfaction, run-time, and search space reduction cost.
Cite
@article{arxiv.2206.01368,
title = {Density-Based Pruning of Drone Swarm Services},
author = {Balsam Alkouz and Athman Bouguettaya and Abdallah Lakhdari},
journal= {arXiv preprint arXiv:2206.01368},
year = {2022}
}
Comments
10 pages, 9 figures. This is an accepted paper and it is going to appear in the Proceedings of the 2022 IEEE International Conference on Web Services (ICWS 2022)