We propose an analytical framework to study broadcasting performance in multi channel wireless networks in the presence of adversary attacks. In order to reduce the effect of such attacks on the dissemination performance we use network coding and show that it can bring significant benefits to the broadcasting process. We investigate the impact that different medium access, transmission schemes and channel conditions have on the information exchange among all nodes. We analyze such impact in terms of reception delay and robustness with respect to malicious interference generated by adversary nodes. In order to do so, we model the process of data broadcasting as a coupon collector's problem. We derive the average delay required to retrieve partial and complete information by all nodes in the network, and quantify the gains obtained when using a multi channel system. We take into account the presence of different types of adversaries and find the optimum number of channels that nodes have to access in order to minimize the data reception delay.
Broadcasting in multi channel wireless networks in the presence of adversaries
ZORZI, MICHELE
2011
Abstract
We propose an analytical framework to study broadcasting performance in multi channel wireless networks in the presence of adversary attacks. In order to reduce the effect of such attacks on the dissemination performance we use network coding and show that it can bring significant benefits to the broadcasting process. We investigate the impact that different medium access, transmission schemes and channel conditions have on the information exchange among all nodes. We analyze such impact in terms of reception delay and robustness with respect to malicious interference generated by adversary nodes. In order to do so, we model the process of data broadcasting as a coupon collector's problem. We derive the average delay required to retrieve partial and complete information by all nodes in the network, and quantify the gains obtained when using a multi channel system. We take into account the presence of different types of adversaries and find the optimum number of channels that nodes have to access in order to minimize the data reception delay.Pubblicazioni consigliate
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