학술논문

Efficient Data Transmission Scheme for Massive High Altitude Platform Networks
Document Type
Periodical
Source
IEEE Transactions on Network Science and Engineering IEEE Trans. Netw. Sci. Eng. Network Science and Engineering, IEEE Transactions on. 11(3):2837-2848 Jun, 2024
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Components, Circuits, Devices and Systems
Signal Processing and Analysis
Ad hoc networks
Heuristic algorithms
Topology
Structural beams
Satellites
Data communication
Terrestrial atmosphere
High altitude platform (HAP)
minimum convergecast delay (MCD)
particle swarm optimization
tree construction
Language
ISSN
2327-4697
2334-329X
Abstract
Due to the wide coverage and station-keeping feature of high altitude platforms (HAPs), a large-area sensor network above remote regions can be achieved by the use of a mobile HAP ad hoc network. To realize efficient data transmission in the HAP network, we propose two schemes at the network layer and MAC layer, respectively. At the network layer, we propose a break and reconstitution (B&R) algorithm to construct an aggregation tree with minimum convergecast delay (MCD) for collecting data generated by each HAP. This scheme is beneficial in many monitoring systems, especially for time-critical and safety-critical tasks. In addition, a rapid parent selection (RPS) algorithm is presented to deal with the dynamic changes in the HAP network. At the MAC layer, we utilize a particle swarm optimization algorithm to optimize transmission and reception beamwidths to maximize the minimum transmission data rate. This scheme is beneficial for supporting tremendous data in the HAP network. Finally, we evaluate the performance of our proposed schemes through extensive experiments with real wind data and results show that they outperform some baseline approaches.