Availability of ubiquitous wireless services is taken for granted by most of the people. Therefore, network operators have to deploy and to operate large radio networks that, particularly, support broadband services and applications. One effect is a growing cell density, i.e., the number of required base stations increases. On the other hand, there are people that are afraid of getting harmed by electromagnetic radiation emitted by base stations or there are people that just dislike the prevalence of base station antennas. Both types of people's attitude refer to the field of user acceptance. A high deficiency in acceptance might lead to public disputes, political disputes, and negative economical consequences. To counteract such trends preventively, we propose a mathematical optimization model that allows for planning wireless network infrastructure with respect to user acceptance. While keeping technical and economical aspects as primarily considered planning criteria, we propose a multi-objective optimization model that takes into account user acceptance as an objective. Numerical results demonstrate effects of this approach compared to application of a conventional planning model.

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Temperature and pH are two essentials water quality parameters in shrimp culture. Therefore, monitoring these two variables is very important to improve productivity in aquaculture. In this study, a monitoring system was created to monitor the two variables in the pond. For this reason, Raspberry Pi IoT based hardware and software has been made to carry out the monitoring function. Monitoring data is automatically sent to online servers using a cellular internet network. For electrical power needs, remote devices are equipped with solar power plants. The results showed that the system could read the temperature and pH of the water accurately and sent it to an online server. There is a web-based calibration menu that allows users to easily calibrate sensors. Moreover, a user interface is also made to display the sensor readings data that has been stored in the database. In conclusion, the monitoring system is applicable for water quality data logger in the field operation with user friendly operation.

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