Servers are usually used in organizations for storing and securing relevant data. Data should be kept safe and accessed in real-time, thereby dictating the essentiality of the safety of the servers for an organization to fulfil its goals and objectives. Therefore, there is the need to efficiently monitor each server and mitigate all factors that can cause downtimes in its operations. This study implemented an extended node-life wireless sensor network that monitored and controlled the temperature and relative humidity parameters within a server room. The system was modelled using Kinetic Battery Model (KiBaM) model with its voltage model and the Temperature-Dependent Kinetic Battery Model (T-KiBaM) to estimate the battery state of charge (SoC). The hardware units of the internet-enabled monitoring system were designed for best performances by comparing various categories of relevant components and selecting the finest with optimal trade-off within varying considered characteristics. A cloud-based online real-time environmental data (temperature-humidity) collection platform was developed with onsite storage to avoid memory conflicts of the sink node thus, enabling continuous storage of data collection for estimated 200 years.