Spiral Networking
PI: Prof. Kwang-Cheng Chen
Intel Champion: Dr. Yen-KuangChen
The goal of project CIFI and SNis to study effective communications in machine swarm of cloud based environments as Figure shown. More precisely, CIFI develops spectral efficient communication and networking among numerous machines to enable cyber-physical systems, using information fusion, inference, and cooperative multi-hop networking, under possible spectrum sharing environments.
Under this challenging scenario, we explore fundamental technology including
- Spectrum sharing multi-hop cooperative networking: Underlarge number of machines, spectrum sharing would be needed. With priority among heterogeneous systems/networks, we study cognitive radio networks. Without priority among heterogeneous systems/networks, we study spectrum sharing heterogeneous networking.
- Using information fusion and inference to establish a spectrum map to enable multi-hop networking in machine swarm: To avoid communication overhead and to determine the optimal routes, we need the knowledge of radio channel conditions that can be provided by establishing a spectrum map. The spectrum map indicates the average channel qualities (radio power or interference level) at different locations. Several innovative approaches have been considered: compressive sensing, tomography, and heterogeneous information fusion and inference(HIFI).
- Traffic reduction: To analyze how much traffic can be reduced by fusing data or inferring information from multiple machines at various points along potential M2M transmission routes that are determined in Target A. The“coding” part is to reduce the rate of information flow at each node by considering the correlation among information flows from other nodes within transmission range. The“forward” part is to choose the optimal next hop (and thus the optimal route) such that the aggregate rate of information flows is minimized.
- Socially enabled heterogeneous networking architecture and algorithms: To resolve the scalability of ad-hoc networking, we investigate the possibility to achieve multi-hop networking of large number of machines under delay constraints and QoS requirements. Proper networking algorithms with above goals are expected as the final project outputs.
Members
Publications
P. Chen, K. Chen, "Intentional Attack and Fusion-Based Defense Strategy in Complex Networks", in 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, pp. 1-5.
C. Huang, K. Chen, "Dual-Observation Time-Division Spectrum Sensing for Cognitive Radios", IEEE Transactions on Vehicular Technology, vol. 60, no. 8, 2011, pp. 3712-3725.
H. Lin et al., "iShare: An ad-hoc sharing system for internet connectivity", in 2011 7th International Wireless Communications and Mobile Computing Conference, pp. 1946-1951.
W. C. Ao, K. Chen, "Degree Distribution in Interference-Limited Heterogeneous Wireless Networks and Its Generalizations", in 2011 IEEE International Conference on Communications (ICC), pp. 1-6.
Y. Liang et al., "Cognitive radio networking and communications: an overview", IEEE Transactions on Vehicular Technology, vol. 60, no. 7, 2011, pp. 3386-3407.
S. Lien, Y. Lin and K. Chen, "Cognitive and Game-Theoretical Radio Resource Management for Autonomous Femtocells with QoS Guarantees", IEEE Transactions on Wireless Communications, vol. 10, no. 7, 2011, pp. 2196-2206.
S. Cheng et al., "On exploiting cognitive radio to mitigate interference in macro/femto heterogeneous networks", IEEE Wireless Communications, vol. 18, no. 3, 2011, pp. 40-47.
S. Shih, K. Chen, "Compressed Sensing Construction of Spectrum Map for Routing in Cognitive Radio Networks", in 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), pp. 1-5.
S. Cheng, P. Chen and K. Chen, "Ecology of Cognitive Radio Ad Hoc Networks", IEEE Communications Letters, vol. 15, no. 7, 2011, pp. 764-766.
S. Lien, K. Chen, "Statistical traffic control for cognitive radio empowered LTE-Advanced with network MIMO", in 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 80-84.
