Density-Based Pruning of Drone Swarm Services

TL;DR

This paper introduces a density-based pruning framework for recommending drone swarm delivery services, optimizing provider selection based on consumer preferences and provider capabilities to improve efficiency and satisfaction.

Contribution

It presents a novel density-based pruning method combined with weighted service composition and voting algorithms for effective drone service recommendation.

Findings

Significant reduction in search space

Improved consumer satisfaction

Enhanced efficiency in provider selection

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.