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Group Meeting

Group Meeting. Ming Hong Tsai Date : 2011.5.16. Communication Magazine. Vol. 49 Issue 4. Toward Ubiquitous Massive Accesses in 3GPP Machine-to-Machine Communications. AIR Interface Considerations. Physical Layer Considerations Random Access Channel Congestions

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Group Meeting

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  1. Group Meeting Ming Hong Tsai Date : 2011.5.16

  2. Communication Magazine Vol. 49 Issue 4

  3. Toward Ubiquitous Massive Accesses in 3GPP Machine-to-Machine Communications

  4. AIR Interface Considerations • Physical Layer Considerations • Random Access Channel Congestions • 3GPP TSG RAN WG2 Meeting 71 R2-104662 • Backoff-Based Scheme • Access Class Barring (ACB) Based Scheme • 3GPP TSG RAN WG2 Meeting 68bis R2-100182 • Separating RACH Resources • Dynamic Allocation of RACH Resources • Energy and Complexity Considerations • Energy consumption • Proposed • Transmission algorithm

  5. Radio Resource Allocation with QoS Guarantees • Enormously Diverse QoS Requirements • Small Data and Massive Transmissions • Proposed • Grouping-Based Radio Resource Management

  6. Home M2M Networks: Architectures,Standards, and QoS Improvement

  7. PROPOSED ARCHITECTURE FORHOME M2M NETWORKS • Physical layer and MAC layer • M2M communication in body areas • M2M communication in personal areas (Zigbee) • M2M communication in local areas (WiFi) • M2M communication via cognitive gateway

  8. STANDARDS FOR DEVICE AND RESOURCE SHARING IN HOME M2M NETWORKS • Three major standards have been defined for facilitating the application layer multimedia discovering, searching, and sharing in home M2M networks • UPnP (Universal Plug-and-Play) and its QoS Architecture • Understanding Universal Plug and Play: A White Paper, June 2000 • DLNA (Digital Living Network Alliance) and its QoSArchitecture • DLNA Overview and Vision Whitepaper, 2006 • IGRS (Intelligent Grouping and Resource Sharing) and its QoSArchitecture • Information Device Intelligent Grouping and Resource Sharing QoS Specification for Wireless UWB networks (draft), 2008

  9. QoS IMPROVEMENT INHOME M2M COMMUNICATIONS • Machine Model • Resilient • Non-Resilient • Proposed • A cross-layer joint design

  10. GRS: The Green, Reliability, and Security of Emerging Machine toMachine Communications

  11. OVERVIEW OF M2M COMMUNICATIONS ARCHITECTURE AND GRS REQUIREMENTS • M2M domain • Network domain • Application domain

  12. GRS IN M2M COMMUNICATIONS • Energy efficiency • Communication dominates energy consumption, and energy efficiency can be increased by wisely adjusting transmission power (to the minimal necessary level), and carefully applying algorithmic and distributed computing techniques to design efficient communication protocols (e.g., routing protocols[5]). • Activity scheduling scheme • “Localized Sensor Area Coverage With Low Communication Overhead,” IEEE Trans.

  13. GRS IN M2M COMMUNICATIONS • Reliabilty • In sensing and processing • a single M2M node may not be sufficient to accurately sense and process monitoring data. • Local vote decision fusion (LVDF) algorithm • “Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks,” IEEE Trans. • In transmission • Consider that there are n total positive monitoring data on the same event in the M2M domain, and the M2M GW will report the decision to the BS only if it can collect more than k distinct monitoring data packets. • Spatial redundancy technology • “Spread: Improving Network Security by Multipath Routing in Mobile Ad Hoc Networks,” Wireless Networks • At the BS • In general, there is only one server activated to process these data packets for energy(power) saving purposes. However, when the number of arrival packets dramatically increases, especially during peak times, the single server cannot deal with the challenging situation, and reliability and QoS will degrade. • Redundancy technologies • How to balance greenness and reliability in M2M communications needs further exploration.

  14. GRS IN M2M COMMUNICATIONS • Security • CIA, Non-repudiation, Access control, Availability, Privacy • Efficiently detecting the node compromise attack is very challenging in the M2M domain. • Early detecting node compromise in M2M Domain • “CAT: Building Couples to Early Detect Node Compromise Attack in Wireless Sensor Networks,” Proc. IEEE GLOBECOM, • To preserve energy, some M2M nodes switch to sleep mode. Then they could be compromised by an attacker without being detected. Later, these compromised nodes can inject false data and send them to the application domain, causing not only high-level erroneous decisions in an M2M application, but also energy wasted in multihop en route nodes. • Bandwidth efficient cooperative authentication (BECAN) to filter false reports in M2M communications • “SAGE: A Strong Privacy-Preserving Scheme against Global Eavesdropping for eHealth Systems,” IEEE JSAC,

  15. Machine-to-Machine Communications for Home Energy Management System in Smart Grid

  16. Open Research Issues • Standardization • Traffic Characterization • Protocol Re-design • Spectrum Management • Optimal Network Design • Home Energy Management System (HEMS)

  17. M2M: From Mobil to Embedded Internet

  18. The Vision of Internet of Things • There are three essential components to this “Internet of Things” vision. • A continuum of devices from low-cost/low-power to compute-rich/high-performance • Ultra scalable connectivity • Cloud-based mass device management and services

  19. The Essential Elements of M2M Solutions • Security • “security-on-chip” • “zero-touch” manageability and information overload • Large-scale surveillance networks • Optimum distribution of device and cloud intelligence

  20. M2M Connectivity and Network Architectures

  21. Key Features for Air Interface Optimizations DRAFT-T31-127-R020-v01 3GPP TS 22.368 v10.1.0

  22. Addressing Extremely Large Number of Devices • Group Control • Time-Controlled Traffic • Time-Tolerant Traffic • One-Way Data Traffic • Extremely Low Latency • Infrequent Traffic

  23. M2M Usage Models

  24. Toward Intelligent Machine-to-Machine Communications in Smart Grid

  25. Considered Architecture for SG Communication • Neighborhood Area Network (NAN) • Building Area Network (BAN) • Home Area Network (HAN)

  26. Toward effective SG communication • SG communication depends on two important requirements, communication latency and large volume of messages • IEEE 802.15.3a (UWB) • IEEE 802.11(WiFi) • IEEE 802.15.1 (Bluetooth) • IEEE 802.15.4 (Zigbee)

  27. Envisioned Improvement to HAN Communications Based on Zigbee • In a conventional HAN, if the M2M devices always attempt to send their periodic messages to the HAN GW, the HAN GW is expected to receive a relatively high number of messages. • proposed • Intelligent system based on Zigbee

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