Article
Multi-Objective Optimisation in Multi-QoS Routing Strategy
for Software-Defined Satellite Network
Yang Wu, Guyu Hu *, Fenglin Jin and Siqi Tang
Citation: Wu, Y.; Hu, G.; Jin, F.; Tang,
S. Multi-Objective Optimisation in
Multi-QoS Routing Strategy for
Software-Defined Satellite Network.
Sensors 2021, 21, 6356. https://
doi.org/10.3390/s21196356
Academic Editors: Peter Han
Joo Chong and Jae-Hyun Kim
Received: 7 July 2021
Accepted: 15 September 2021
Published: 23 September 2021
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4.0/).
College of Command and Control Engineering, Army Engineering University of PLA, Nanjing 210007, China;
13218082261@163.com (Y.W.); fljin@sina.com (F.J.); tangsiqi3036@163.com (S.T.)
* Correspondence: huguyu@189.cn
Abstract:
The satellite network plays an increasingly important role in the global communication.
With the development of communication technology, quality of service requirements have become
more and more complex and diverse and the quality of service routing strategy of software-defined
satellite network has become a more and more hot and difficult issue. In this paper, an interval-type-2
fuzzy set routing algorithm is proposed. Firstly, the multi- quality of service routing problem in
software-defined satellite network is modeled. Then, the interval-type-2 fuzzy set routing algorithm
is proposed to make fuzzy decisions. A series of experiments conducted in Network Simulator
(Version 2.35) have proved that the proposed interval type-2 fuzzy set routing algorithm can reduce
average delay, increase total throughput and reduce packet drop rate.
Keywords:
software-defined satellite network; quality of service routing strategy; interval type-2
fuzzy set; Network Simulator
1. Introduction
With the development of communication technology, satellite network has been
becoming more and more important in communication, which has attracted the wide
attention of academia and industry [
1
]. Satellite network has an indispensable role in
supporting global coverage. It not only extend the ground network, but also provide
reliable data transmission and normal communication in natural disasters, emergency
rescue, geological survey and other applications [
2
,
3
]. Satellite network is made up of
satellites and star links. Satellites are divided into three types, named GEO (Geostationary
Earth Orbit, 36,000 km) satellite, MEO (Medium Earth Orbit, 5000–10,000 km) satellite and
LEO (Low Earth Orbit, 500–1500 km) satellite. Compared with GEO and MEO satellites,
LEO satellites have the advantages of low delay, low energy consumption and low signal
attenuation, which is good for real-time communication and reducing the power of the
mobile terminals [
4
,
5
]. However, with the popularization of LEO satellites, the number
of users and the amount of data increase rapidly. There are many connections between
LEO satellites and mobile terminals. However, the processing and storage capabilities of
LEO satellites are unable to meet the needs of processing and storing these connections. In
order to manage conveniently, researchers proposed an architecture called SDSN (software-
defined satellite network) [
6
]. In this paper, we proposed a Multi-objective Optimisation in
multi-QoS (quality of service) routing strategy for SDSN.
The rapid development of network has made the demand for satellite networks higher,
including the more data and the more kinds of services. An efficient and intelligent routing
strategy is needed to meet these multi-QoS requirements. These multi-QoS requirements
refer to delay, throughput, and packet drop rate. The routing issues of SDSN is to how to
desigh the routing strategy to meet these multi-QoS requirements. In order to consider
the multi-QoS requirements, the satellite network routing model was established and the
multi-objective optimization was carried out.
Sensors 2021, 21, 6356. https://doi.org/10.3390/s21196356 https://www.mdpi.com/journal/sensors
