Proposal and evaluation of a future mobile network management mechanism with attractor selection
1 Cloud Systems Research LaboratoriesNEC Corporation, 1753 Shimonumabe, Nakahara-ku, Kawasaki, Kanagawa, 211–8666, Japan
2 Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565–0871, Japan
3 Center for Information and Neural Networks, National Institute of Information and Communications Technology, 1-3 Yamadaoka, Suita, Osaka 565–0871, Japan
EURASIP Journal on Wireless Communications and Networking 2012, 2012:259 doi:10.1186/1687-1499-2012-259Published: 16 August 2012
Several task forces are currently working on how to design the future Internet and it is high time for research work to also move a step forward to future mobile networks on a large scale. In this article, we propose a future mobile network management method based on a combination of OpenFlow and the biologically inspired attractor selection method to achieve scalability and energy efficiency. In other words, we propose novel approaches to wireless network management by extending the attractor selection mechanism in path and cluster management for signaling cost reduction. First, in path management, we establish a control method that each mobile node selects the best suited interfaces in accordance with instantaneous live traffic volume. Then, in cluster management, we design a network management method that network devices select the best OpenFlow cluster to join in order to reduce handover signaling cost. Through autonomous decisions of each mobile node and network device, the whole wireless network can be managed in an autonomous, energy efficient, and robust manner.