$[2]$ Describe how the Mobile Agent paradigm can be used for developing a real$-$life application that focuses on 'data harvesting'. In this application, assume that there are farms of sensors that monitor and sense data about climatic changes along the coastal regions of the Americas, Africa, Northern Europe and Australia. Such data must be collected by sensors and stored on their connected servers at centralized 'regional' sites. Further assume that the UN $($United Nations$)$ Office of Climatic Changes $($UNOCC$)$ is the 'user' or organization that dispatches Agents to collect such data. Again, assume that some of the 'servers' could be unreachable due to poor network connectivity and thus delaying certain critical data during the periods of storms and oftentimes sensors can be faulty and unable to collect data for a period. Include in your description, solutions or strategies for mitigating such network problems, dealing with unreliable sensors$,$ and how to propagate the Agents across all the servers before reporting to the UNOCC $($Be brief, yet precise$/$clear and support your description with a diagram$/$software architecture.$)(40$ pts$)$