Abstract
The routing optimized problem in HAPs-Satellite integrated network is focused on this paper. A novel routing algorithm(AR-HS) based on the swarm intelligence by changing the pheromone updating strategy is proposed. In order to build an optimal solution, the proposed algorithm make use of ant agents that consist of probe packets sent on the HAPs-Satellite integrated network that allow to find the optimization problem solution. In this work we have performed a comparison of a classical shortest path algorithm with our the proposed algorithm ,and the simulation results show that our routing algorithm can reduce end to end delay and drop ratio, and improve performance of network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Djuknic, G.M., Freidenfelds, J., Okunev, Y.: Establishing Wireless Communications Services via High-Altitude Aeronautical Platforms: A Concept Whose Time has Come? IEEE Commun. Mag. 35(9), 128–135 (1997)
Karapantazis, S., Pavlidou, F.: Broadband Communications via High-Altitude Platforms: a Survey. IEEE Commun. Surveys & Tutorials 7(1), 1–35 (2005)
Sun, J., Xiong, S., Guo, F.: A new pheromone update strategy in Ant Colony Optimization. In: Proceedings of 2004 International Conference on Machine Learning and Cybernetics (August 2004)
Di Caro, G., Dorigo, M.: AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research (JAIR) 9, 317–365 (2011)
Zheng, X., Guo, W., Liu, R.: An Ant-Based Distributed Routing Algorithm for Ad-hoc Networks. In: International Conference on Communications, Circuits and Systems, ICCCAS. IEEE (2004)
Hussein, O., Sadaawi, T.: Ant Routing Algorithm for Mobile Ad-hoc networks (ARAMA). In: Proceedings of the 2003 IEEE International Performance, Computing, and Communications Conference (2003)
De Rango, F., Tropea, M., Provato, A., Santamaria, A.-F., Marano, S.: ANT Based Routing Algorithm over a HAP Network with Integrated Services. In: Gelbukh, A., Morales, E.F. (eds.) MICAI 2008. LNCS (LNAI), vol. 5317, pp. 913–924. Springer, Heidelberg (2008)
Dorigo, M., Di Caro, G.: The Ant Colony Optimization (ACO) Meta-Heuristic. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, pp. 11–32. McGraw-Hill, London (1999)
Hussein, O.H., Saadawi, T.N., Jong Lee, M.: Probability Routing Algorithm for Mobile Ad Hoc Networks’ Resources Management. IEEE Journal on Selected Areas in Communications (2005)
Gunes, M., Sorges, U., Bouazizi, I.: ARA - The Ant-Colony Based Routing Algorithm for MANETs. In: Proceedings of International Conference on Parallel Processing Workshops. IEEE, Los Alamitos (2002)
Yuan-yuan, Z., Yan-xiang, H.: Ant Routing Algorithm for Mobile Ad-hoc Networks Based on Adaptive Improvement. School of Computer Science, Wuhan University School of Computer and State Key Lab of Software Engineering, Wuhan University Wuhan, Hubei Province, China (2005)
De Rango, F., Tropea, M., Provato, A., Santamaria, A., Marano, S.: Multi-Constraints Routing Algorithm based on Swarm Intelligence over High Altitude Platforms. In: NICSO 2007 International Workshop on Nature Inspired Cooperative Strategies for Optimization, Acireale, Italy, November 8-10 (2007)
McCanne, S., Floyd, S.: The network simulator: NS-2. 2010-08-15/2008-03-15
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ye, X., Cheng, H., Wang, R. (2013). AR-HS: Ant Routing Optimized Algorithm on HAPs-Satellite Integrated Networks. In: Wang, R., Xiao, F. (eds) Advances in Wireless Sensor Networks. CWSN 2012. Communications in Computer and Information Science, vol 334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36252-1_57
Download citation
DOI: https://doi.org/10.1007/978-3-642-36252-1_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36251-4
Online ISBN: 978-3-642-36252-1
eBook Packages: Computer ScienceComputer Science (R0)