There is increasing interest from companies on the use of emerging mobile and cloud computing technologies to achieve enterprise specific tasks. Mobile devices such as smartphones, tablets, and notebooks can be used to access personalized and enterprise data. Moreover, recent launch of consumer devices such as wearable smart watches (e.g., Apple Watch) requires services and products re-alignment. More importantly, sensor capabilities of these mobile devices can be leveraged with desktops and cloud computing facilities to create next generation mobile applications that can be beneficial to enterprises such as health, agriculture, mining and so on. The challenge however is the limited and unstable wireless mediums through which these smart devices communicate. Due to this factor, data transfer can experience challenges such as high latency, data corruption, communication loss, and performance cost in terms of poor throughput. Hence, this work designed a prototypic system using the Constrained Application Protocol (CoAP) that seeks to provide speed-efficient data exchanges in a mobile-sensor-cloud ecosystem. Furthermore, a group of performance measurement experiments and conducted to understand the proposed system's performance for wireless networks. Preliminary results suggest CoAP can achieve quick I/O data response time.