Distributed Clustering for Ad Hoc Networks
ISPAN '99 Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks
Challenges and enabling technologies for energy aware mobile radio networks
IEEE Communications Magazine
Cell zooming for cost-efficient green cellular networks
IEEE Communications Magazine
Apples-to-apples: a framework analysis for energy-efficiency in networks
ACM SIGMETRICS Performance Evaluation Review
Towards detecting influenza epidemics by analyzing Twitter messages
Proceedings of the First Workshop on Social Media Analytics
On the energy efficiency of cognitive radios - A study of the Ad Hoc Wireless LAN scenario
IGCC '11 Proceedings of the 2011 International Green Computing Conference and Workshops
Rethinking energy efficiency models of cellular networks with embodied energy
IEEE Network: The Magazine of Global Internetworking
Hi-index | 0.00 |
Nowadays, the energy consumption and efficiency of wireless networks have become a societal challenge. In this paper a novel system architecture is proposed to achieve green communications. The proposed smart social architecture exploits the flexibility and adaptability of cognitive radio CR technology to interact with the environment and achieve eco-sustainability by means of finding the best transmission opportunities. However, the effort required for CR nodes to obtain sensing measurements might make less effective the potential energy efficiency gain obtainable in CR networks. We thus propose to combine CR and social network technologies to maximize the energy efficiency and the associated context awareness in terms of energy and radio knowledge. In this way it is also possible to reduce the sensing burden of CR devices. Through the proposed approach, a greater awareness of environmental impacts by CR paradigm can be instilled in participating users, devices and backbones. This is based on a novel extension of the concept of social network, and specifically by allowing socialization among all the network actors, both users as it is already done today and cognitive devices to develop a much lighter and more flexible distributed infrastructure. The functionalities of the network elements and their interfaces are described in detail.