# Sensorial Network Framework Embedded in Ubiquitous Mobile Devices
## 1 Introduction
### Trends and Standards  
Nowadays, challenges in the application development area are all about keeping in touch with the actual trends and standards that influence mainstream future-based solutions [6]. The Internet of Things (IoT) is considered to be one such future mainstream trend [7; 8], where all devices are able to communicate with each other and share information about users or surrounding areas. It is clear that the sharing and distribution of information between every day users creates an intelligent environment that makes users' lives easier. For instance, when entering the home, users can adjust the lights to automatically turn on with a specific color that the user likes and intensify itself according to the brightness outside and inside. Information about a user's location can be acknowledged by a live WiFi connection through a mobile device. The key idea behind IoT is that all devices have internet access [9], which we believe will become the reality in the near future. Therefore, the offered solution takes into account the intermediate between no connectivity and full connectivity, i.e., limited connectivity to the internet. The solution proposes to share such information between nodes via message exchanging in an ad-hoc created local network. The devices that are not connected will use other connected devices to distribute messages across the network to endpoints. Ideally, each device uses sensorial networks [10], including Android devices, which are capable of understanding the distributed messages and behaving according to their content. In order to allow each device to handle universal messaging, there have to be defined informational exchange standards. As the IoT is one of the key parts of Industry 4.0 [11], current trends in automation and data exchanges in manufacturing, we can also predict the benefits of sensorial networks. In order to obtain the latest research on Industry 4.0, we have employed a systematic literature review (SLR) to identify the research areas related to sensorial networks [12]. We searched the Web of Science (WOS), as well as the Scopus database, for the term, \"Industry 4.0\", in the title of papers, until the end of July 2019. As a result, we obtained 1265 papers at WOS, which were distributed into 456 journal articles [13; 14; 15], 146 editorial materials, 653 conference papers, and 25 book chapters. There were also 18 records that were recognized by WOS as highly cited in filed. In the Scopus database, we obtained 1982 records, containing 874 journal articles, 923 conference papers, 60 editorial materials and two books (see Figure 1 for the current trends in Industry 4.0). By summarizing the results, Germany was found to rank as number one in terms of the number of publications with \"Industry 4.0\" as a keyword [16; 17; 18], with 283 results from the WOS. Germany was followed by the People's Republic of China (PRC), with 92 records [19]; Italy, with 91; England, with 72; Spain, with 69; and the Czech Republic, with 61. From the Scopus database, where more papers are already indexed with the German authored papers, Germany was also found to be in the lead, with 507 records, followed by Italy, with 169; the United Kingdom, with 112; the USA, with 98; the PRC, with 97; and the Czech Republic, with 58. Figure 2 shows the distribution of published articles with \"Industry 4.0\" as a keyword in the Scopus database by country. This short analysis provides a solid basis for proving that Industry 4.0 is now very trendy not only in industry, but also in research areas. The sensorial framework (SF) refers to the sensing of users' behavior [20] and distribution of collected information within the surrounding area. In this way, each device is able to understand the content of a message. One example is the Windows Push  
Figure 1: Published articles with “Industry 4.0” as a keyword in the Web of Science (WOS) and Scopus databases. Figure 2: Published articles with “Industry 4.0” as a keyword in the Scopus database by country.