PROJECT TITLE :
Optimal Configuration of Network Coding in Ad Hoc Networks
During this paper, we tend to analyze the impact of network coding (NC) configuration on the performance of ad hoc networks with the thought of 2 important factors, particularly, the throughput loss and the decoding loss, that are jointly treated because the overhead of NC. In specific, physical-layer NC and random linear NC are adopted in static and mobile unintentional networks (MANETs), respectively. Furthermore, we characterize the goodput and delay/goodput tradeoff in static networks, that are analyzed in MANETs for various mobility models (i.e., the random independent and identically distributed (i.i.d.) mobility model and therefore the random walk model) and transmission schemes (i.e., the 2-hop relay theme and therefore the flooding scheme). Moreover, the optimal configuration of NC, which consists of the info size, generation size, and NC Galois field, springs to optimize the delay/goodput tradeoff and goodput. The theoretical results demonstrate that NC will not bring regarding order gain on delay/goodput tradeoff for each network model and scheme, aside from the flooding theme during a random i.i.d. mobility model. However, the goodput improvement is exhibited for all the proposed schemes in mobile networks. To our best information, this is often the first work to analyze the scaling laws of NC performance and configuration with the thought of coding overhead in unintended networks.
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