IEEE Transactions on Software Engineering
A distributed routing algorithm for datagram traffic in LEO satelitte networks
IEEE/ACM Transactions on Networking (TON)
Priority-based adaptive routing in NGEO satellite networks: Research Articles
International Journal of Communication Systems
Distributed on-demand routing for LEO satellite systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Cross-Layer Approach to Enhance QoS for Multimedia Applications Over Satellite
Wireless Personal Communications: An International Journal
Multiservice on-demand routing in LEO satellite networks
IEEE Transactions on Wireless Communications
Routing decisions independent of queuing delays in broadband LEO networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Agent-based load balancing routing for LEO satellite networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Balancing energy consumption with mobile agents in wireless sensor networks
Future Generation Computer Systems
An operational and performance overview of the IRIDIUM low earth orbit satellite system
IEEE Communications Surveys & Tutorials
Exploring the routing strategies in next-generation satellite networks
IEEE Wireless Communications
ATM-based routing in LEO/MEO satellite networks with intersatellite links
IEEE Journal on Selected Areas in Communications
Routing in ISL networks considering empirical IP traffic
IEEE Journal on Selected Areas in Communications
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There exist essential requirements for providing service differentiation in the next-generation networks. In this paper, AMSR (Agent-based Multi-Service Routing) is proposed and evaluated for Polar-orbit LEO broadband satellite networks. AMSR forwards best-effort traffic in a distribute manner using three factors: unfair traffic distribution, link utilization level and constellation geometry characteristics. Meanwhile, AMSR employs an on-demand source routing method, called agent-based inter-satellite link QoS routing (AIQR), to implement QoS routing in space. In AIQR, agent migrates based on best-effort forwarding to gather QoS routing information, and determines QoS path considering both call duration and the periodic changes in network topology. Moreover, with protecting ongoing communication in mind, a gradual rerouting strategy is introduced to deal with user-to-satellite and satellite-to-satellite handover. Through simulations on an Iridium-like system, AMSR is shown to achieve better QoS guarantee and more effective service differentiation as well as lower overhead compared with the previously proposed methods. Especially, simulation results thoroughly reveal AMSR's handover performance in terms of latency and hop count, rerouting frequency and overhead. Additionally, the credits and further research of this study are pointed out.