# A Social Environmental Sensor Network Integrated within a Web GIS Platform
## 3 Implementation
### Network Architecture
Therefore three realizable user oriented scenarios are determined, depending on spatial dispersion of the sensor nodes. Figure 6: Luminosity map, Athens. ### Individual

Based on the aforementioned every individual may implement the proposed monitoring methodology on his everyday commute. Sensing could be applied by vehicle users, cyclists, walkers or hikers who follow specific itineraries thus to enrich the repository with spatial oriented data. The screen of the Android device projects an immediate visualization of environmental quality of the crossed area. ### Social

Project's low cost and ease reproduction into multiple iterations facilitate further propagation on a larger scale. Their data inputs will be gathered in clusters, improve collection and enhance interpretation. Beyond hobbyists and enthusiasts the proposed WSN possibly attracts citizen and community groups. Widely employed Android devices urge large scale monitoring processes in residential areas. The proposed WSN could be implemented by local community and school groups, NGOs, tour operators and in general groups with interest into environmental sensing methodology. ### Smart City Infrastructure

The increase of world's population and the shortage of natural resources incline towards the widespread use of information and communication technology (ICT) [41] in everyday life. Efficient changes in urban environments are powered by the trends of Smart Cities under the condition of meeting the needs of the city and its citizens while assisting the management of infrastructure and services [41]. Promoting involvement of state supported facilities in educational and environmental awareness activities. Public buildings and infrastructures operate constantly and are network connected. These edifices consist the ideal point of research interest, thus accommodate a vast number of activities and services. On the other hand private organizations will meliorate their image on environmental corporate social responsibility and assist on further environmental awareness activities. The adoption by state owned vehicles (e.g., refuse trucks) and public transportation (e.g., bus, tram) services generate surplus value in relation to public service. Most of public vehicles follow the same routes on a daily basis creation a dynamic field of operation that potentially produces baseline data. ## Validation

The proposed WSN was carried out in a broad area of Athens, Greece employing a deployed pair of fixed and portable sensors. The area of study was mostly set at central Athens region for both node types. Data emanated from recordings deployed on recurrent itineraries by car, bicycle or pedestrian use. Likewise a fixed node was set on different positions for varied time periods. This indicates that the comprehensive implementation of the system requires continuous operation of two or more devices (portable and stationary) in order to replete the Database of records (spatial and numerical). The minimum number of deployed devices used on this research as a detection mechanism for outlying erroneous factors. Subsequently, the expected number of recordings function positively for the further development of the platform, in order to egress errors and reveal system weaknesses for future implementation. On strictly technical terms, there were few initial inconsistencies between modules and Arduino YUN, which impaired the sensing functionality. Eventually, debugging help solve some of these issues, nevertheless the complex configuration caused erroneous recordings. MQ sensors (Gasses micro-particles) use an internal heater in order to operate in temperatures higher than 50 \({}^{\circ}\)C [42], therefore are particularly affected by extreme temperature fluctuations and often produce inaccurate readings. Joint operation with a temperature sensor scale down potential inconsistencies. Additionally, noise pollution is a complex variable that needs specialized equipment [43].