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. Cheng et al., "Event-driven energy-harvesting wireless sensor network for structural health monitoring", in 38th Annual IEEE Conference on Local Computer Networks, 2013, pp. 364-372.
Y. Shih, H. Su and S. Kao, "On the Hamiltonian-Connectedness for Graphs Satisfying Ore's Theorem", Smart Innovation, Systems and Technologies, vol. 20, 01 2013, pp. 25-31.
H. Su, Y. Shih and S. Kao, "On the 1-fault hamiltonicity for graphs satisfying Oreʼs theorem", Information Processing Letters, vol. 112, no. 21, 2012, pp. 839-843.
C. Kuan, G. Lin and H. Wei, "Energy Efficient Networking with IEEE 802.16m Femtocell Low Duty Mode", Mob. Netw. Appl., vol. 17, no. 5, oct 2012, pp. 674–684.
Y. Lai et al., "Accelerometer-assisted 802.11 rate adaptation on mobile WiFi access", EURASIP Journal on Wireless Communications and Networking, vol. 2012, 05 2012, pp. .
H. Chen, C. Lee, "Analysis of the number of hops in wired-wireless heterogeneous networks", in 2012 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1806-1810.
C. Kuan, G. Lin and H. Wei, "Green Femtocell Networking with IEEE 802.16m Low Duty Operation Mode", 2012, pp. 37-50.
H. Chen, C. Lee, "A spatial study of mixed wireless and wireline heterogeneous networks", in 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 258-262.
Y. Liang, C. Chou and H. Wei, "Modeling and analysis of applying adaptive modulation coding in wireless multicast and broadcast systems", Wireless Networks, vol. 17, 07 2011, pp. 1373-1386.
F. Tsuo et al., "Incentive Compatible Configuration for Wireless Multicast: A Game Theoretic Approach", IEEE Transactions on Vehicular Technology, vol. 60, no. 7, 2011, pp. 3520-3525.
