Faster-than-Nyquist Transmission in SC-FDE System Over Frequency Selective Channel with Concatenated Equalizers

The trustworthiness and connectivity of the network depends on the energy drain rate of mobile nodes. Colluders like vampire nodes in ad hoc network make it more vulnerable as they rapidly drain considerable amount of energy. This generic vampire attacks seem to capitalize on the potential features of the incorporated baseline protocol used for facilitating trustworthy data dissemination. The main goal of this paper is to formulate an attack prevention scheme that uses fuzzy trust relationship perspective for detecting vampire attacks and enforcing reduced energy drain rate of colluding mobile nodes. This fuzzy trust relationship perspective-based prevention mechanism (FTRPPM) initially estimates the associative trust and associative reputation of mobile nodes. Further, it quantifies the impact of factors that could induce vampire attack in the network under its influence. Finally, it facilitates the detection of vampire nodes based on the established ranges of threshold that are dynamically adjusted based on quantified level of probability factor. The empirical and simulation results of FTRPPM is confirmed to be exceptional as it ensures a remarkable improvement in mean PDR of 16% and mean throughput of 14% under the impact of increasing number of mobile nodes on par with the existing vampire attack mitigation schemes.