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Now, let us consider the same scenario using the network coding technique; in this case, after source1 and source2 broadcast their packets, the relay will encode the two packets into one packet and relay it.
Using the network coding, a higher throughput is achieved with a smaller transmission probability of the center node.
So in this case, the same scenario will cost three broadcasting events using the network coding technique rather than four using traditional broadcasting.
However, further issues when using the network coding technique in wireless networks are the randomness and the asymmetric nature of the traffic.
So for a situation such as the one described by Fig. 1, Instead of traditional broadcasting, where each packet from RSU1 or RSU2 needs to be separately rebroadcasted at the intermediate relay, we propose using the network coding technique to combine and encode the packets from the two sources before rebroadcasting them in one broadcasting event.
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Using the network code described above and the optimal routing solution at gives (6).
In JNCC, cooperative channel coding (e.g., decode and forward [12]) and cross-layer design are combined, by using the network code for decoding at the physical layer.
Thus, by doing so, up to 50%% of the consumed bandwidth can be saved when we use the network coding technique (see Section 3.1).
In VANET literature, in addition to content distribution protocols [16 19], protocols use the network coding to maintain the network bandwidth and/or power consumption as well as to enhance the robustness and the reliability of the network.
First, in order to achieve an optimum throughput and decrease the network congestions in such a scenario, we propose the relay to use the network coding technique to encode the data of both sources instead of the traditional routing.
However, if there is the same number of packets from both directions (e.g., A = B), then up to 50%% of the consumed bandwidth can be saved when we use the network coding technique.
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Justyna Jupowicz-Kozak
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