Abstract
Enhancing the quality of service is the crucial issue of future wireless networks. In this paper, we propose a new multihop wireless routing protocol inspired by opportunistic resource allocation strategies that take into account the variability of the radio conditions due to path loss, shadowing and multipath fading. Thanks to this knowledge, our proposition dynamically adapts the selected path accross time. The adaptation is function of each link state and the amount of channel information available. This allows to improve system performance in terms of delay and throughput. This solution can be used in all multihop wireless contexts but can have a special interest in wireless coverage zone extension context. Simulation results will show that the proposed routing protocol greatly outperforms the other existing protocols such as ad-hoc on-demand distance vector, optimized link state routing and extremely opportunistic routing protocols reducing mean packet delays by more than 50% in several scenarii.
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Notes
In some high traffic load context, this can be a low throughput path that experiences the lowest delay for a single small RREQ packet since paths with higher throughput could experience high buffers occupancy that temporary delay flows.
Note that OLSR can not be efficiently improved taking short term LSI values into account. To build efficient routing tables, OLSR needs to converge and it seems very unlikely to be possible with link values that change very quickly over time. In addition, RFC 7181 that defines OLSRv2 [5] sets the signaling frame exchange time scale to approximately 1 s which is greater than the multipath fading variation time. This prevents OLSR from taking it into account.
AODV floods the network with RREQ packets until one reaches the destination. The one that will reach the destination first will establish the path that will thus most of the time be the best in terms of throughput at this instant.
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Gueguen, C., Fabian, P. & Lagrange, X. Link state opportunistic routing for multihop wireless networks. Wireless Netw 25, 3983–3998 (2019). https://doi.org/10.1007/s11276-018-01930-3
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DOI: https://doi.org/10.1007/s11276-018-01930-3