Truth Discovery Technology for Mobile Crowd Sensing in Water Quality Monitoring

The water quality of urban inland rivers is an important index environmental health, which can reflect a city’s development level and its social economic development. these strongly impacts the health life residents surrounding areas. Therefore, it necessary to accurately assess in rivers, also aid protection departments providing river governance. Generally, status assessed released by monitoring stations various regions that deploy corresponding detection equipment at certain major locations river. However, devices only detect fixed locations, often, changes owing impact environment serves. around point does not always entire section. To better express river, we propose method based on mobile crowd-sensing system obtains data during period time then fuzes sensing obtain best truth-value estimate We use this truth value conduct objective evaluation rivers. parameters obtained represent are more accurate compared collected station. Through simulation comparative analysis, found proposed were accurate, indicating our has practical than device method.