Volume 11, Issue 1, October 2014, Pages 198–205
Mrs. Suvarna Game1 and Mr. Chandrashekhar Raut2
1 Computer Science, Datta Meghe College of Engineering, Airoli, Navi Mumbai, Maharashtra, India
2 Computer Science, Datta Meghe College of Engineering, Airoli, Navi Mumbai, Maharashtra, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Now a day's Low Earth orbit satellite networks are used for IP based services. Satellite networks are required to support multimedia services. Delivering QoS guarantees to the users of LEO satellite networks is complicated since footprints of LEO satellites move as the satellites traverse their orbits, and thus, causing frequent user handovers between the satellites. In LEO satellite networks the traffic on the inter-satellite links (ISLs) also change with changes in the user-to-satellite traffic (which in turn changes due to the mobility of the satellites).Hence, traditional terrestrial routing protocols cannot be applied to broadband LEO satellite networks. To improve robustness and for load balancing in Low Earth orbit satellite networks a Cross-layer design and Ant-colony optimization based Load-balancing routing algorithm (CAL-LSN) is designed and implemented. CAL-LSN can utilize the information of the physical layer to make routing decision during the route construction phase. CAL-LSN uses mobile agents called ants for gathering the information of the nodes. ACO is well adapted to decentralized systems such as constellations of satellites because of the delays incurred by signalling information as it propagates through the network. Using CAL-LSN LEO satellite network performance is improved by balancing traffic load and increasing the packet delivery rate. Meanwhile, the end-to-end delay and delay jitter performance can meet the requirement of video transmission.
Author Keywords: Ant-colony optimization, cross-layer design, LEO satellite networks, load balancing, Quality of Service, inter-satellite links.
Mrs. Suvarna Game1 and Mr. Chandrashekhar Raut2
1 Computer Science, Datta Meghe College of Engineering, Airoli, Navi Mumbai, Maharashtra, India
2 Computer Science, Datta Meghe College of Engineering, Airoli, Navi Mumbai, Maharashtra, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Now a day's Low Earth orbit satellite networks are used for IP based services. Satellite networks are required to support multimedia services. Delivering QoS guarantees to the users of LEO satellite networks is complicated since footprints of LEO satellites move as the satellites traverse their orbits, and thus, causing frequent user handovers between the satellites. In LEO satellite networks the traffic on the inter-satellite links (ISLs) also change with changes in the user-to-satellite traffic (which in turn changes due to the mobility of the satellites).Hence, traditional terrestrial routing protocols cannot be applied to broadband LEO satellite networks. To improve robustness and for load balancing in Low Earth orbit satellite networks a Cross-layer design and Ant-colony optimization based Load-balancing routing algorithm (CAL-LSN) is designed and implemented. CAL-LSN can utilize the information of the physical layer to make routing decision during the route construction phase. CAL-LSN uses mobile agents called ants for gathering the information of the nodes. ACO is well adapted to decentralized systems such as constellations of satellites because of the delays incurred by signalling information as it propagates through the network. Using CAL-LSN LEO satellite network performance is improved by balancing traffic load and increasing the packet delivery rate. Meanwhile, the end-to-end delay and delay jitter performance can meet the requirement of video transmission.
Author Keywords: Ant-colony optimization, cross-layer design, LEO satellite networks, load balancing, Quality of Service, inter-satellite links.
How to Cite this Article
Mrs. Suvarna Game and Mr. Chandrashekhar Raut, “Study of Load Balancing Routing Algorithm for Low Earth Orbit Satellite Networks,” International Journal of Innovation and Scientific Research, vol. 11, no. 1, pp. 198–205, October 2014.
