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Performance Analysis of Routing Algorithms Based on Intelligent Optimization Algorithms in Cluster Ad Hoc Network

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Communications and Networking (ChinaCom 2016)

Abstract

In this paper, a mobile cluster Ad Hoc network model is presented for scenarios with large nodes number and high mobility. Intelligent optimization algorithms perform better than traditional routing algorithms in such scenarios but papers about performance comparison of these algorithms are rare. So we pick the most widely used intelligent optimization algorithms ACO, PSO and GA and describe the routing search process of these three algorithms in detail. Then we analyze performance of them together with AODV for comparison. Simulation results show that ACO, PSO and GA algorithms perform better than AODV in average throughput, packet loss rate, success link rate and average link hop.

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Acknowledgment

This work was supported by the National Science and Technology Major Specific Projects of China (Grant No. 2015ZX03004002-004) and the Fundamental Research Funds for the Central Universities (Grant No. HIT. NSRIF. 201616).

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Correspondence to Tingting Liang .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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He, C., Liang, T., Wei, S., Meng, W. (2018). Performance Analysis of Routing Algorithms Based on Intelligent Optimization Algorithms in Cluster Ad Hoc Network. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-66625-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-66625-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66624-2

  • Online ISBN: 978-3-319-66625-9

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