# A Pervasive Collaborative Architectural Model at the Network's Periphery
###### Abstract
The pervasive devices develop very quickly and their functions are enriched and enhanced while their capabilities of communication are increased. In this paradigm, all users, hardware and software are dynamic, and they change these capabilities in unpredictable ways [2,3]. The development of collaborative systems has led to innovative designs for mobile networks and their devices' technologies. In addition, they enhance mobile collaborative computing and the techniques of interaction between these devices. We distinguish many architectures that have been established recently in pervasive collaborative computing on distributed mobile networks, such as cloud, fog and edge computing [4]. Cloud computing, the main architecture supporting the IoT, has successfully helped to solve the problems of collaborative computing in areas such as communication, computing capabilities and storage and transfer of data. Similarly, fog, edge and mobile edge computing (MEC) [5] solved the problems faced by cloud computing when offloading to central servers and vice versa. Fog and edge computing architectures [6] (and recently MEC), with several other architectural models, have gained primordial importance in mobile networks. However, the effectiveness of devices in these structures became disproportionate to the intense demand for communications. This effectiveness is needed even more in cases like natural disasters, industrial accidents and terrorist attacks, which can isolate or destroy their communication service centers, base stations and access points. Therefore, the solution for situations of disconnected communication is most likely realized using networks that comprise mobile devices and have ubiquitous resources that can be connected through their capabilities of P2P connection. These devices can be regrouped instantly in networks in real time and in a variety of positions. Besides extreme events, these networks could be used in normal situations due to their very low cost and their permanent presence in our pockets. These networks provide users with facilities and benefits to manage their work anytime and anywhere. For these reasons, and with the emergence of new technologies expected in the future, we claim that these devices and networks will be the de facto tools to support the paradigm of smart mobile collaborative computing. The pace of technological development constantly imposes real challenges in a variety of areas, particularly in mobile networks. This is due to the rapid advances in the architecture and techniques of IT models, mobile devices and communication tools, such as wireless and P2P, through self-diffusion. P2P communication allows access to devices without the need for wireless infrastructure such as access points or evolved base stations (eNBs). P2P can use various short-range wireless technologies [7] like Bluetooth, Wi-Fi Direct, LTE Direct (defined by the Third Generation Partnership Project (3 GPP) [8]), near field communication (NFC) and proximity services as needed. The mobile networks can be composed of devices that connect spontaneously using these types of mobile communication, and this offers performance services in a variety of areas [9]. In addition, emerging Radio Wi-Fi technology enabled by Pycom's LoPy4 can extend the range of P2 Pand wireless communication. As a result, networking has become a resource of pervasive devices that can be connected anytime and anywhere. With key technologies such as spatial modulation, millimeter wave, visible light communication and 5G, cellular networks will soon enable people to use P2P technology globally. The objective is to increase the number of connected devices with longer battery life and greatly reduced latency [10]. The IoT paradigm is defined as a dynamic global self-configuration and interoperable network [11, 12]. It fascinates and even seduces its users.