Title: Efficient network coding-based data transfer framework for multihop wireless communication

Authors: Nyan Lin; Yasuo Tan; Yuto Lim

Addresses: School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan ' School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan ' School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan

Abstract: With the growing demands of wireless applications and mobile data connections, wireless communication is expected to provide the ever-increasing demand for higher data rate and efficient data communication. Energy is also one of the hot issues needed to be considered for future wireless networks. In this paper, an efficient network coding-based data transfer (E-neco) framework is developed to achieve more energy-saving and bandwidth-efficient data communication for data transmission, data collection and data sharing services. For these data transfer applications, we propose new network coding-based transmission schemes and medium access control protocols. Topology and network coding techniques are utilised in the framework. This is a conceptual framework developed for future generation wireless communication such as multihop communication, massive machine communication, device-to-device communication and new techniques can be added to support future demanding services. Simulation results reveal an improvement in terms of throughput, latency, fairness, energy consumption and network lifetime.

Keywords: multihop wireless communication; network coding; medium access control protocol; data transfer framework; energy efficient protocols; wireless network topology; future wireless networks.

DOI: 10.1504/IJNVO.2019.101162

International Journal of Networking and Virtual Organisations, 2019 Vol.21 No.1, pp.127 - 159

Received: 05 May 2017
Accepted: 20 Nov 2017
Published online: 26 Jul 2019 *

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