Fig 4
![Fig. 2. Edge Computing Architectures -Source: [16]](publication/364077293/figure/fig2/AS:11431281087469661@1664642569824/Edge-Computing-Architectures-Source-16_Q320.jpg)
Context in source publication
Context 1
... have used two scenarios. The figure 4 shows the mobile architecture without edge computing and figure 5 shows the scenario using mobile edge computing. A. Comparison of performance between the two architectures 1) Time and number of transactions: it is possible to compare the performance by placing the time reached by each device used without the aid of edge computing and the time achieved using Xiaomi Redmi 7 that used the mobile edge architecture for the difficulty 4, varying the number of transactions from 10 to 200. ...
Citations
... Therefore, the greatest challenge in applications IoT-based WSN is how to reduce the energy dissipation of smart sensor devices, as a result, prolong the lifespan of the network, which should be considered during the designing of routing protocols. To attain this goal, numerous researchers have proposed efficient energy routing schemes for WSN, in which the clustering mechanism is one of the most useful methods [9,24,25]. According to the clustering method, the network system is partitioned into various clusters; each cluster involves one cluster head node (CHN) and some cluster members (CMs) [10]. ...
