High Performance Routing in a LEO Satellite Network
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Improved algorithms for Internet routing in Low Earth Orbit satellite networks
Space Communications - Satellite Network Protocols
Multiservice on-demand routing in LEO satellite networks
IEEE Transactions on Wireless Communications
QoS Routing by Genetic Algorithm for LEO Satellite Networks
ISCID '09 Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design - Volume 01
Link Analyzing and Simulation of TDRSS Based on OPNET
CMC '10 Proceedings of the 2010 International Conference on Communications and Mobile Computing - Volume 02
Utilization plans for Ka band satellite communications system using COMS
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Agent-based load balancing routing for LEO satellite networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Improving Satellite Multicast Security Scalability by Reducing Rekeying Requirements
IEEE Network: The Magazine of Global Internetworking
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Since the population distribution on the earth surface is highly non-uniform, the traffic requirements are unbalanced in LEO (Low Earth Orbit) satellite networks, some ISLs(Inter-Satellite Link) of satellite networks are congested while others are underutilized. This work proposes a QoS routing protocol for LEO satellite networks called BQR (Balanced QoS Routing) on the Iridium Constellation that implements a balanced mechanism based on the population density. The occupancy factor has a classification by location of the satellite and changes according the countries where the satellite is flying above. The countries with high population will receive high value of occupancy factor that will help to calculate the ISL cost based on a combination of propagation and queuing delay. The routing table maintains many entrieswith different ISL cost for the same destination, a path with high ISL cost has less probability to be selected that will balance the satellite network traffic. The integration between OPNET and STK is used to simulate the proposed BQR routing protocol. The simulation results show that our protocol can achieve a better traffic load balancing that leads to minimize the end to end delay and optimize the throughput.