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This paper presents the design of an adaptive HVAC based on psychrometric analysis and a De-Centralized control Algorithm for an Autonomous Wireless Sensor Network. The proposed system aims to initially differentiate the area under consideration into active and inactive zones and perform control operations on them. The De-Centralized control methodology follows a K:1 transmission protocol for optimized K-Coverage by allowing each independent node to act as a controller and send the instructions to the actuators directly without going through the central controller in the area under consideration. The K:1 protocol however does enable interaction of independent nodes with the central controller for central `air-distribution chamber' valve actuations. The sensory nodes in the inactive zones remain dormant till the zones are identified as active. The control methodology introduces an optimized air distribution, a variable air volume and humidity analysis parameter into the HVAC Control. The approach is to establish the wireless link using wireless UART, thus allowing real-time monitoring, measurement and control by employing the Texas Instruments 2.4 GHz Radio-Frequency CC2500 module.