![]() We identified that people are willing to participate in a crowdsensing experiment only if the burden in terms of change in their behavior is minimal. To show the applicability of the proposed platform, the sample results of signal level distribution and coverage maps gathered for an LTE network and representing human mobility are shown. The method described combines measurements from the accelerometer with effective management of the GPS to monitor the user mobility with the decrease in battery lifetime by approximately 20%. To address these requirements, this paper proposes an application for measuring the location and signal strength data based on energy-efficient GPS tracking, which allows one to perform the measurements of human mobility and radio signal levels with minimum energy utilization and without any engagement of the user. A survey showed that people who agree to participate in crowdsensing expect a minimum impact on their battery lifetime and phone usage habits. ![]() This work begins with the analysis of the barriers for engaging people in crowdsensing. However, many users are unwilling to participate in crowdsensing experiments. Currently, virtually everyone is carrying a mobile phone, which may be used as a sensor to gather research data by measuring, e.g., human mobility and radio signal levels. The paper presents a practical application of the crowdsensing idea to measure human mobility and signal coverage in cellular networks. ![]()
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