# 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
As long as this can be done using a LoPy bridge, this range can be extended proportionally by using additional LoPy bridges. The experimental study we conducted shows the efficiency of our communication model, which has many advantages over existing models, even those using 5G technology in terms of connection coverage. In fact, the 5G coverage does not exceed 500 m, while it exceeds 1 km through one Pycom's LoPy4. In fact, the 5G coverage range tests on the millimeter wave band produced results in the order of 500 m around the pylon. This requires an important installation of MIMO (multiple input, multiple output) antennas \begin{table}
\begin{tabular}{l c c c} \hline \hline
**Full Name** & **Group** & **Danger** & **IP** \\ \hline [PERSON] & G7 & 7 & 192.168.4.3 \\ [PERSON] & G4 & 2 & 192.168.4.3 \\ [PERSON] & N/A & 4 & Bluetooth \\ [PERSON] & G5 & 3 & 192.168.4.2 \\ [PERSON] & G3 & 7 & 192.168.4.3 \\ DIRECT-ueSM- & G1 & 1 & 192.168.4.5 \\ G920W8 & N/A & 4 & Bluetooth \\ DiRECT-ueSM- & G1 & 1 & 192.168.4.5 \\ G920W8 & G1 & 1 & 192.168.4.5 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Second experimentation study (part 2), the same description of Table 3. This communication model can be applied between objects (transmitter-bridge and bridge–receiver). \begin{table}
\begin{tabular}{l c c} \hline \hline
**Full Name** & **Group** & **Danger** & **IP** \\ \hline [PERSON] & G1 & 5 & 192.168.4.2 \\ DIRECT-H8 SM- & G1 & 1 & 192.168.4.3 \\ G920W8 & G2 & 3 & 192.168.4.6 \\ [PERSON] & G2 & 4 & 192.168.4.2 \\ [PERSON] & G2 & 4 & 192.168.4.2 \\ [PERSON] & G3 & 7 & 192.168.4.2 \\ [PERSON] & G3 & 6 & 192.168.4.2 \\ [PERSON] & G3 & 6 & 192.168.4\(\backslash\)xae2 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: First experimentation study, information required from devices near the LoPy transmitter sent via the LoPy bridge to the LoPy receiver with 192.168.4.1/test. This communication model can be applied between transmitter–bridge as well as between bridge–receiver. Figure 7: Transmission of information from LoPy transmitter to LoPy bridge (Receiver). for a single deployment of 5G standalone [57]. Furthermore, our model creates a topology to enhance inter-and intra-group communication. In addition, it selects the objects (devices) with the greatest resources to increase the duration of the connectivity and the functionality of the model. These objects are replaced dynamically by others if their resources decline. Moreover, even if there is no standard wireless or Internet connection, this model can continue to help people communicate using a combination of technologies such as Wi-Fi-Direct, Bluetooth and that of Pycom's LoPy4 from Lora. ## 5 Conclusions

Ubiquitous smart and pervasive devices are the core elements of the Internet of Things, which is expanding, enhancing and integrating with distributed systems and mobile collaborative computing. The essential factor on which these paradigms are built and enhance their effectiveness is the communication technologies. Connectivity in networks is being improved and modernized by introducing and enhancing more modern wireless technologies as well as P2P connectivity. The main issue of various environments (harsh, urban or rural environment) is to maintain connectivity between objects (users), through both inter- and intra-group connectivity. In this paper, we presented an autonomous collaborative pervasive architectural model of communication between ubiquitous smart mobile devices, especially those at the ends of networks. We designed four algorithms to increase the availability of communication between objects, taking into account many constraints such as the distributed environment and the mobility and the heterogeneity of these objects. This model is based on the use of modern wireless communication technologies, in particular device-to-device radio communication. To overcome the short range of radio waves, we integrated Pycom's LoPy4 technology into this model as base stations and access points.