# A Pervasive Collaborative Architectural Model at the Network's Periphery
## 3 Collaborative Architectural Model of Mobile Pervasive Computing
### Constructing Connectivity Algorithms to Manage the APCAM Model
The characteristics of several of the devices we used in this experimental study are:

* (i) Smartphone Samsung Galaxy S21: CPU Octa-core (1 \(\times\) 2.9 GHz Cortex-X1 & 3 \(\times\) 2.80 GHz Cortex-A78 & 4 \(\times\) 2.2 GHz Cortex-A55)--International, OS Android 11, One UI 3.1, 256 GB RAM, 512 GB storage. (ii) Smartphone Samsung Galaxy S6: Processor Octa-core, 2100 MHz, ARM Cortex-A57 and ARM Cortex-A53, 64-bit--14 nm, RAM 3 GB LPDDR4, OS Android 7.0 Nougat, 64 GB storage. (iii) Smartphone LG K40: OS Android 8.1 (Oreo), LG UX 7, CPU Octa-core 2.0 GHz Cortex-A53, 2 GB RAM, 32 GB storage. Tablets: (i) Samsung Galaxy Tab A 10.1: Samsung Exynos 7904 CPU, 2 GB RAM, Operating System Android 9 with One UI, 32 GB storage. (ii) Samsung Galaxy Tab A 8.0: Processor Qualcomm Snapdragon 429 \(\times\) 2 GHz, Cortex-A53, 2 GB RAM, Operating System Android 9.0 Pie, 32 GB storage. (iii) Samsung Galaxy Tab 7.0 Plus: processor 1.5 GHz quad-core, 1.5 GB of RAM, Operating System Android, 8 GB storage. Laptops: (i) Laptop 1 with the following characteristics: Intel(r) Core(tm) i7 processor, x64-based processor, Windows 10 Pro 64-bit OS, 2.3 GHz CPU, and 16 GB of RAM. (ii) Laptop 2 with the following characteristics: Intel(r) Core(tm) i7 6820 HP CPU, 2.7 GHz, x64-based processor, 64-bit OS, and 16 GB of RAM. (iii) MacBook Pro with the following characteristics: Intel Core i7 quad core 2.8 GHz, macOS High Sierra and 16 Go of integrated memory LPDDR3 2 133 MHz. Let us point out the data we used are generated live from the devices between which they were exchanged. The exchanged messages contain the information of the devices and the users. ### Category A

This category includes two types of techniques to achieve and enhance speed and communication in transmitting information:

* Finding the shortest path of maintained communication between two devices in the network through which information can be transferred as messages from one device to another. Ensuring the connectivity of the shortest path nodes are presented in the following three case studies [56]:
* The nodes are obviously connected. * Nodes must be moved. * Using and moving a drone with the capability of P2P wireless technology. * Establishing a network by forming a chain of adjacent groups of interfering devices within the available communication range. A device belonging to two groups can act as a gateway between the owners of these groups. The message must be sent in an intelligent way, taking into consideration the distance to the destination device and the continuity of communication through nearby devices. In the following, we present the application interface of forming groups and selecting their owner. An analysis



**Figure 6**. _Cont_. Figure 6: _Cont._

### Category B

This category integrates connection technology provided by Pycom's LoPy4 with existing Wi-Fi and device-to-device radio communication. We designed and implemented a mobile application with a graphic interface (Figure 7) to exchange information through our model of connectivity (Figure 5). In the experimental study, we used a network like the one illustrated in Figure 5. We installed the LoPy bridge in a given position. Then, we placed both the LoPy transmitter and the LoPy receiver in cars that drove away from the LoPy bridge in opposite directions. We connected the devices to the LoPy transmitter whenever we travelled 150 m away from the LoPy bridge in both directions. The LoPy bridge received the device's information from the LoPy transmitter and transferred it to the LoPy receiver, which transmitted it to its nearby devices as shown in Tables 3 and 4. Figure 6: Application interfaces used on devices. ## Test Get

Because the team of volunteers could be scattered and distant in the experimental study, we used the same device in different places with the names of different users. Throughout this experimental study, our autonomous model is shown to be efficient in providing communication and exchanging information over a range of more than two kilometres.