Configurable Harris Hawks optimisation for application placement in space-air-ground integrated networks

Document Type

Journal Article

Publication Title

IEEE Transactions on Network and Service Management

Volume

21

Issue

2

First Page

1724

Last Page

1736

Publisher

IEEE

School

School of Engineering

RAS ID

69895

Funders

Australian Research Council

Grant Number

ARC Number : LP190100594

Grant Link

http://purl.org/au-research/grants/arc/LP190100594

Comments

Akhter, N., Mahmud, R., Jin, J., But, J., Ahmad, I., & Xiang, Y. (2024). Configurable Harris Hawks optimisation for application placement in space-air-ground integrated networks. IEEE Transactions on Network and Service Management, 21(2), 1724-1736. https://doi.org/10.1109/TNSM.2024.3361176

Abstract

Space-Air-Ground Integrated Network (SAGIN) has recently emerged as a viable solution for reliable transmission, high data rates, and seamless connectivity with extensive coverage. However, the characteristics of the computation and communication devices located at various levels of SAGIN make application placement within such environments a challenging task. Real-time service expectations and resource requirements of applications further intensify this issue, and push the domain to operate beyond its capacity, resulting in uneven delays and significant overhead. Taking these constraints into account, SAGIN's application placement problem can be expressed as a multiobjective optimisation problem. This paper aims to solve such a problem using a Dynamic Weight-configurable Harris Hawks Optimisation (DW-HHO) algorithm, considering diverse application contexts such as deadlines, resource usage and the number of application activities. It simultaneously minimises application total service time and host resource overhead with a robust global search. The performance of the proposed solution is compared with benchmark metaheuristic solutions such as PSO, NSGA-II, Greedy and Random. Experimental results demonstrate that DW-HHO outperforms other benchmark metaheuristic solutions in optimising resource utilisation and service delivery time of applications in SAGIN environments. The proposed DW-HHO demonstrates notable improvements over existing methods. Specifically, when evaluating the total service time for PSO, NSGA-II, Greedy, and Random, DW-HHO outperforms these methods by 7.28%, 9.07%, 13.01%, and 14.97%, respectively.

DOI

10.1109/TNSM.2024.3361176

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