High Throughput and Acceptance Ratio Multipath Routing Algorithm in Cognitive Wireless Mesh Network

Zhufang Kuang, Gongqiang Li, Junshan Tan and Zhigang Chen
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Zhufang Kuang: School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China
Gongqiang Li: School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China
Junshan Tan: School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China
Zhigang Chen: School of Software, Central South University, Changsha 410083, China

Future Internet, 2017, vol. 9, issue 4, 1-15

Abstract: The link failure due to the secondary users exiting the licensed channels when primary users reoccupy the licensed channels is very important in cognitive wireless mesh networks (CWMNs). A multipath routing and spectrum allocation algorithm based on channel interference and reusability with Quality of Service (QoS) constraints in CWMNs (MRIR) was proposed. Maximizing the throughput and the acceptance ratio of the wireless service is the objective of the MRIR. First, a primary path of resource conservation with QoS constraints was constructed, then, a resource conservation backup path based on channel interference and reusability with QoS constraints was constructed. The MRIR algorithm contains the primary path routing and spectrum allocation algorithm, and the backup path routing and spectrum allocation algorithm. The simulation results showed that the MRIR algorithm could achieve the expected goals and could achieve a higher throughput and acceptance ratio.

Keywords: cognitive wireless mesh networks; multipath routing; spectrum allocation; channel interference; reusability (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2017
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