Joint drone association and content placement in cache-enabled internet of drones

Document Type

Conference Proceeding

Publication Date

1-1-2019

Abstract

Internet of drones (IoD), employing drones as the internet of things (IoT) devices, brings flexibility to IoT networks and has been used to provision several applications (e.g., object tracking and traffic surveillance). The explosive growth of users and IoD applications injects massive traffic into IoD networks, hence causing congestions and reducing the quality of service (QoS). In order to improve the QoS, caching at IoD gateways is a promising solution which stores popular IoD data and sends them directly to the users instead of activating drones to transmit the data; this reduces the traffic in IoD networks. In order to fully utilize the storage-limited caches, appropriate content placement decisions should be made to determine which data should be cached. On the other hand, appropriate drone association strategies, which determine the serving IoD gateway for each drone, help distribute the network traffic properly and hence improve the QoS. In our work, we consider a joint optimization of drone association and content placement problem aimed at maximizing the average data transfer rate. This problem is formulated as an integer linear programming (ILP) problem. We then design the Drone Association and Content Placement (DACP) algorithm to solve this problem with low computational complexity. Extensive simulations demonstrate the performance of DACP.

Identifier

85081973927 (Scopus)

Publication Title

Proceedings IEEE Global Communications Conference Globecom

External Full Text Location

https://doi.org/10.1109/GLOBECOM38437.2019.9013274

e-ISSN

25766813

ISSN

23340983

Grant

1814748

Fund Ref

National Science Foundation

This document is currently not available here.

Share

COinS