Self-organizing Energy Efficient in M2M Communications
PI: Prof. Hung-Yu Wei
Intel Champion: Dr. Rath Vannithamby
The main objective of this project is to design energy-efficient M2M communication schemes. For energy harvesting M2M devices, we aim to reduce the outage probability. The success of this project will be examined by the performance gain in these energy efficiency metrics (i.e., outage probability and energy per successfully transmitted bit). With this project, we will get a deeper understanding on how to operate the wireless radios in an energy-aware way that achieves better energy efficiency. At the end, the M2M energy-harvesting devices will become sustainable and smart by using our proposed techniques.
For M2M devices, radio consumes a significant portion of energy. Energy consumption of a device depends on (i) the ON duration, (ii) the monitoring and measuring activities, (iii) the data transmission, receiving and processing, (iv) the transmission, receiving, and processing of signaling messages, etc. As a result, energy-efficient communications should consider minimizing the ON duration and optimizing the reporting mechanisms. The communication module operates without considering energy state information from energy harvesting module. In M2M systems, the traffic characteristics and delivery requirements are different from H2H. Without considering the energy state during the configuration and decision process of M2M communications, it is unlikely to achieve the optimal energy efficiency. To provide better energy-efficient M2M communications, differentiation based on energy state could improve system performance.
In this project, we consider two types of radios (IEEE802.11based Wi-Fi, and LTE-Advanced based Machine-Type Communications) and enhance them to make them optimized for M2M communications for energy harvesting M2M devices. We investigate critical M2M communication functionalities: M2M uplink transmission (from M2M devices to base station and network infrastructure), M2M downlink transmission (from network infrastructure to M2M devices), and proximal device-to-device communications (from one M2M device to a nearby M2M device).
Members
Publications
M. Shih et al., "Energy-aware waiting-line based resource allocation in cellular network with m2m/h2h co-existence", in 2015 IEEE International Conference on Communications (ICC), pp. 2979-2984.
I. Lai et al., "Path-Permutation Codes for End-to-End Transmission in Ad Hoc Cognitive Radio Networks", IEEE Transactions on Wireless Communications, vol. 14, no. 6, 2015, pp. 3309-3321.
C. Yeh et al., "Centralized Interference-Aware Resource Allocation for Device-to-Device Broadcast Communications", in 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pp. 304-307.
Y. Chen, G. Lin and H. Wei, "Dynamic Estimation of Unsaturated Buffer in Context-Aware M2M WiFi Network", in 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pp. 308-311.
Y. Shih, H. Wei, "A Soft Fault Detection Mechanism with High Accuracy on Machine-to-Machine Communication Networks", in 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pp. 340-343.
P. Chen, G. Lin and H. Wei, "Experiment-Based Smartphone Traffic Modeling and Power Saving Performance Analysis for LTE DRX Mechanism", in 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pp. 597-603.
H. Lin et al., "DeepSleep: IEEE 802.11 enhancement for energy-harvesting machine-to-machine communications", Wireless Networks, vol. 21, no. 2, 2015, pp. 357–370.
Y. Pang et al., "Network access for M2M/H2H hybrid systems: a game theoretic approach", IEEE Communications Letters, vol. 18, no. 5, 2014, pp. 845-848.
M. Shih et al., "Performance Evaluation for Energy-Harvesting Machine-Type Communication in LTE-A System", in 2014 IEEE 79th Vehicular Technology Conference (VTC Spring), pp. 1-5.
C. Kuan et al., "Reliable Multicast and Broadcast Mechanisms for Energy-Harvesting Devices", IEEE Transactions on Vehicular Technology, vol. 63, no. 4, 2014, pp. 1813-1826.
