A distributed routing algorithm for datagram traffic in LEO satelitte networks
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking
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
New analysis on mobile agents based network routing
Applied Soft Computing
An analytic modelling approach for network routing algorithms that use "ant-like" mobile agents
Computer Networks: The International Journal of Computer and Telecommunications Networking
Exploring the routing strategies in next-generation satellite networks
IEEE Wireless Communications
IEEE Transactions on Wireless Communications
Ant colony optimization for routing and load-balancing: survey and new directions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Routing in ISL networks considering empirical IP traffic
IEEE Journal on Selected Areas in Communications
QoS routing for LEO satellite networks
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
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To ensure an intelligent engineering of traffic over entire satellite networks, a distributed routing scheme for low-earth orbit (LEO) satellite networks, agent-based load balancing routing (ALBR), is presented. Two kinds of agents are used. Mobile agents migrate autonomously to explore the path connecting source and destination, to gather inter-satellite link (ISL) cost, identifier and latitude of visited satellites. Meanwhile, stationary agents employ exponential forgetting function to estimate ISL queueing delay, calculate ISL cost using the sum of propagation and queueing delays; evaluate path cost considering satellite geographical position as well as ISL cost, finally update routing items. Through simulations on a Courier-like system, the proposed scheme is shown to achieve better load balancing, and can especially decrease packet loss ratio efficiently, guarantee better throughput and end-to-end delay bound in case of high traffic load. Furthermore, results from the implementation complexity analysis demonstrate that with the aid of agent technology, ALBR has lower on-board computation, storage, signaling requirements than other on-board routing schemes.