A MULTI-USER RESOURCE ALLOCATION OF SPECTRUM SENSING ALGORITHMS USING COGNITIVE RADIO APPLICATIONS

Electronic and Communication Engineering

Joint design of routing and Resource allocation algorithms in cognitive radio based wireless mesh networks. The mesh nodes utilize cognitive overlay mode to share the spectrum with primary users. Prior to each transmission, mesh nodes sense the wireless medium to identify available spectrum resources. Depending on the primary user activities and traffic characteristics, the available spectrum resources will vary between mesh transmission attempts, posing a challenge that the routing and resource allocation algorithms have to deal with to guarantee timely delivery of network traffic. To capture the channel availability dynamics, the system is analyzed from a queuing theory perspective, and the joint routing and resource allocation problem is formulated as a non-linear integer programming problem. The objective is to minimize the aggregate end-to-end delay of all the network flows. A distributed solution scheme is developed based on, being aware of node localizability, adjustments made by LAL are purposefully selected, avoiding meaningless ranging and communication costs. Second, LAL is light weight, working properly with the existing localization methods (e.g. Sweeps, etc) without incompatibility. Finally we implement LAL on a real-sensor network consisting of number of nodes. The deployment data are collected from in-situ measurement in a wild application field.

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