Wireless sensor nodes are mostly deployed in remote locations which are usually difficult for humans to access. This makes it almost impossible for the behavior of the node to be properly monitored particularly regarding the rate of its energy consumption. However, this can be monitored remotely using an application (app) interface domiciled in a remote location for example a base station. This paper describes the design and operation of the app interface for the remote monitoring of node energy consumption using a wireless sensor network for data acquisition. The app interface operates a two-algorithm mode with the custom sensor wireless node continuously obtaining sensed data and forwarding it to the remote location through a wireless sensor network. A context-aware and energy-efficient data acquisition reconfiguration algorithm (CAEEDARA) also known as the power saving algorithm allows adaptive sampling frequency and the interval was developed and run alongside the normal node algorithm which employs fixed sampling frequency and interval. The app interface allows for the switching between operating modes depending on what is most appropriate for the deployment environment. The app interface was tested using a historical dataset obtained for climate change monitoring for three gases namely CO2, CH4, and NO2. The result of the operation showed that the developed app interface was able to efficiently provide real-time information concerning the rate of its energy consumption during data acquisition.