![]() ![]() ![]() Then, in the second stage, the matrix of crossed impact multiplications applied to a classification (MICMAC) was carried out to categorize these factors based on their influence and dependence values. At first, ten factors of maintenance activities from a sustainable manufacturing point of view were identified. The work methodology comprises four stages. The simulation results show that the APFS strategy using both prioritization policies have significantly improved the performance of packet delivery ratio, average end-to-end delay, and throughput as compared to other schemes.This paper presents an empirical study on the impact of maintenance function on more sustainable manufacturing processes. First, classical AHP-TOPSIS technique with a mutable pair-wise comparison matrix is applied, and then neutrosophic set is combined with the classical AHP-TOPSIS method to handle ambiguous vehicular environments. Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods are employed in two different scenarios in prioritizing candidate forwarding sets. By developing a local topology perspective to the two-hop neighbor information, the APFS scheme jointly considers indicators of link stability, delay assessment, and link good-put as routing criteria. Considering the candidate set selection policy as a Multi-Criteria Decision Making (MCDM) task, an adaptive two-hop cooperative forwarding set selection strategy called APFS is proposed in this paper. Nevertheless, limited local topology perspective and inconsistency of routing metrics besides the heterogeneity of applications may compromise the optimal candidate set selection policy. Opportunistic routing (OR) paradigms in vehicular networks via opportunistic relay node selection have better performance over the pre-defined next-hop node regarding packet delivery probability. ![]()
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