This technology provides a sustainable enterprise framework for associated gateways in a network to leverage group level decisions and redistribute allocated energy budget among the associated gateways. The enterprise framework is configured to allocate Gateway Hourly Budget (GHB) as hourly spending limit to the associated gateways, autonomously electing gateway leader from the associated gateways, predicting hourly energy requirement for the associated gateways, calculating energy difference parameter between the allocated GHB and predicted hourly energy requirement, transmitting the hourly energy difference parameter to the autonomously elected gateway leader. The leader further re-computes GHB for the associated gateways for the forthcoming hour and redistributes energy budget by ordering the one or more associated gateways to reset the hourly spending limit with the recomputed GHB, thereby enabling optimal utilization of energy and maximum runtime to the appliances connected to the network.