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However, key-dependency comes at a certain cost for this scheme: due to reduced sensitivity of some potentially employed filters, the hash length has to be increased as compared to the scheme without key-dependency.
Our experiments with real-world cosmology simulations on production systems indicate that the proposed DistDLB scheme can effectively improve the performance of cosmology simulations by 2.56 79.14% as compared to the scheme that does not consider the heterogeneous and dynamic features of distributed systems.
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Simulation results show that our proposed scheme can achieve high-integrity file transfer as compared to the schemes in [10] and [12].
As a result, this scheme improves network lifetime as compared to the existing schemes.
Experiment results have proven and confirmed the effectiveness of our proposed scheme as compared to the conventional scheme.
With the new energy allocation scheme, the system also obtains an increased channel capacity as compared to the cooperative scheme with conventional equal energy allocation and the non-cooperative scheme.
In spite of the increase complexity of the SOSTTC-ME optimum receiver design scheme, the SOSTTC-ME scheme maintains the same diversity advantage as compared to the SOSTTC scheme in FNS channel.
The energy consumption of the LEACH-based scheme is very high as compared to the proposed scheme in case of CH selection process.
The results in Figure 6 also imply that the proposed scheme improves the fairness among users as compared to the conventional scheme.
Using the SPU and DEA schemes results in slightly larger computational effort as compared to the FEA scheme due to the additional overhead required for computing η r (k,ℓ) in (18) and (psi ^{D}_{r} k,ell)) in (35), respectively.
The following benefits are achieved in our proposed parallel sensing scheme as compared to the available schemes in the literature.
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