Abstract
In our proposed system, the vehicular sensor network is formulated based on the cognitive radio with the aid of optimal tree routing protocol. Tree routing protocol for cognitive radio network effectively coordinates between tree routing module and channel assignment module. Here the traditional routing protocol is modified by means of optimization technique. In our proposed method the root channel is optimally selected using artificial fish swarm algorithm. Based on that effective root channel is selected for transmission and the other channels are switched to disabled state. So that MCTRP routing protocol to efficiently manage spectrum allocation that helps reduce the routing delay and rank the channels available from end to end. And also our proposed routing protocol is efficiently deal with frequent link failure. The performance of the proposed technique is evaluated by packet delivery ratio, throughput, overhead, delay, drop, and channel utilization. The proposed technique is implemented in the working platform of NS2. Our proposed method has better channel utilization capacity of 86.6% then the existing CTRP and OLSR method. From the experimental result, it is clear that our proposed method has low delay, high delivery ratio, low packet drop and maximum throughput, minimum overhead and maximum channel utilization value when compared to the existing CTRP and OLSR method.
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Priyadharshini, A., Sundarambal, M. Cognitive Radio Based Vehicular Sensor Network Using Optimal Tree Routing Protocol. Wireless Pers Commun 110, 2237–2252 (2020). https://doi.org/10.1007/s11277-019-06840-x
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DOI: https://doi.org/10.1007/s11277-019-06840-x