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Joint Optimization in Software Defined Wireless Networks with Network Coded Opportunistic Routing | IEEE Conference Publication | IEEE Xplore

Joint Optimization in Software Defined Wireless Networks with Network Coded Opportunistic Routing


Abstract:

Applying network coding and opportunistic routing can significantly improve the throughput performance of wireless multi-hop networks, but a mismatch problem still exists...Show More

Abstract:

Applying network coding and opportunistic routing can significantly improve the throughput performance of wireless multi-hop networks, but a mismatch problem still exists among the upper flow rate, routing and lower transmission resource scheduling. This paper models the throughput optimization as a network utility function maximization in wireless multi-hop networks. By applying Lagrangian dual decomposition theory and the sub-gradient method, the total utility maximization problem is decomposed into source rate control, routing and scheduling problems. These three subproblems are solved independently and are linked by queue length to achieve coordination and joint optimization of network throughput. Based on OpenFlow, this paper implements the joint optimization algorithm in a software-defined network and verifies its performance through experiments. The results show that the joint optimization algorithm has better performance in terms of the total network throughput, network transmission efficiency and inter-flow fairness compared with the existing network coded opportunistic routing method, which only considers the optimization of routing.
Date of Conference: 22-25 October 2017
Date Added to IEEE Xplore: 16 November 2017
ISBN Information:
Electronic ISSN: 2155-6814
Conference Location: Orlando, FL, USA

References

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