Investigating how real-time applications in sectors like healthcare, agriculture, construction, and manufacturing can enhance their effectiveness and sustainability through the use of autonomous sensor technologies, green computing, and big data analytics is part of the work with sustainable approaches for optimising performance of networks. This authoritative guide exposes the drawbacks of conventional technology and provides techniques and tactics for addressing Quality of Service (QOS) issues and enhancing network performance. It brings together a broad team of subject-matter specialists. Several in-depth chapters cover topics like blockchain-assisted secure data sharing, intelligent management of ad hoc networks, smart 5G Internet of Things scenarios, and the use of artificial intelligence (AI), machine learning (ML), and learning techniques (DL) techniques in smart healthcare, smart factory, and smart agriculture.
Bansal, Sanjay K. and Prabha, Dr Jyoti
"Power and Energy Optimized Approach towards Sustainable Mobile Ad-hoc Networks and IoT,"
International Journal of Power System Operation and Energy Management: Vol. 3:
3, Article 3.
Available at: https://www.interscience.in/ijpsoem/vol3/iss3/3