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UAV-Assisted Multi-path Parallel Routing for mmWave-Based Wireless Networks
- Source :
- Internet of Things. 14:100366
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- The Millimeter Wave (mmWave) spectrum band, with its high bandwidth, will significantly satisfy the need for high data-demand of the next-generation communication networks. However, transmission over the mmWave band suffers from a short communication range due to its high frequency. Such short-range communication can dramatically affect the network connectivity in mesh-based networks, leading to excessive packet loss. To improve the network connectivity and thus the throughput, Unmanned Aerial Vehicles (UAVs)/drones can be utilized as relays. Along with UAVs, multi-path routing is needed to ensure better network reliability through different routes. In this paper, we propose maximizing mmWave-based mesh network connectivity via optimally deploying a number of UAVs/drones and enabling multiple parallel paths at the upper network layers. We model the optimization problem for minimizing end-to-end delay with a minimum number of drones, we further perform a delay analysis for the received queues and obtain the link layer end-to-end delay. The evaluation is first performed through MATLAB and then verified using a realistic scenario in the NS-3 simulator by assuming an IEEE 802.11ad-based wireless mesh network. The results show that the proposed UAV-assisted schemes achieve higher throughput and shorter delay compared to baselines scenario with no deployment of UAVs or single transmissions.
- Subjects :
- Computer science
Reliability (computer networking)
Mesh networking
050801 communication & media studies
Throughput
02 engineering and technology
0508 media and communications
Artificial Intelligence
Packet loss
Management of Technology and Innovation
0202 electrical engineering, electronic engineering, information engineering
Computer Science (miscellaneous)
Engineering (miscellaneous)
Wireless mesh network
Wireless network
business.industry
05 social sciences
020206 networking & telecommunications
Telecommunications network
Computer Science Applications
Transmission (telecommunications)
Hardware and Architecture
Link layer
business
Software
Information Systems
Computer network
Subjects
Details
- ISSN :
- 25426605
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Internet of Things
- Accession number :
- edsair.doi...........776caf7df36d5d926d2b93b87c942556