Energy-efficiency wireless networks and strategies for reducing energy consumption in wireless infrastructure

In today’s world, there is a requirement of high-speed networking that increases energy consumption with short network lifetime, which raises issues of environmental sustainability and operational cost. To mitigate these challenges, an energy-efficient algorithm has been developed by considering complex networks and shifting traffic loads. Therefore, in this chapter novel clustering approach based on the Falcon optimization algorithm (FOA) is developed for wireless networks. FOA is totally inspired by hunting methods that helps in optimization of cluster head selection results energy conservation in high-mobile environment. In this chapter, the simulated results have been compared with various existing approaches and show significant improvements in network lifetime, energy consumption and overall performance of the proposed model which will help to design and develop environmentally aware wireless communication systems. Overall, the proposed algorithm is more effective and efficient as compared to other existing schemes.