Green computing for sustainability

Wireless network expansion needs intelligent solutions that combine energy-conscious operations with the maintenance of performance levels. This study presents an eco-friendly wireless ad hoc network framework that combines scheduled node deployment with adjustable packet time period control techniques, thus supporting renewable power sources. The model implementation in MATLAB enabled simulation testing, demonstrating performance evaluation against traditional networking protocols through key performance indicators. The experimental results show that energy consumption decreases substantially as node power consumption decreases from 23.43 Joules to 12.77 Joules in the case of 50 nodes, 93.38 Joules to 44.69 Joules for 200 nodes, and 234.08 Joules to 112 Joules for 500 nodes. The measured network performance improved slightly while the system maintained its initial output. Throughput evaluation revealed values between 4.008 Mbps and 4.084 Mbps, and latency stayed within 0.2467 ms to 0.2499 ms and achieved a packet delivery success rate of up to 90.15%. The proposed green model offers a sustainable and energy-efficient solution for wireless communications, ensuring that operation and service quality are maintained. • A green wireless ad hoc network model integrating scheduled deployment and adjustable packet timing is proposed. • The model employs renewable energy sources and adaptive sleep intervals to reduce power consumption. • Simulation results demonstrate up to 52% energy savings across networks with 50 to 500 nodes. • The proposed system maintains high throughput ( ≈ 4 Mbps) and success rate (>90%) with negligible latency increase. • The scalable green framework provides a practical solution for sustainable 6G and IoT wireless communications.