Center for Advanced Technologies and Applications for the Next Generation Information and Communication Networking Sub-Project 1: Advanced Technologies.

Slides:



Advertisements
Similar presentations
Mobile Wireless Sensor Network (mWSN) at Nokia
Advertisements

1 A Real-Time Communication Framework for Wireless Sensor-Actuator Networks Edith C.H. Ngai 1, Michael R. Lyu 1, and Jiangchuan Liu 2 1 Department of Computer.
Sensor Network 教育部資通訊科技人才培育先導型計畫. 1.Introduction General Purpose  A wireless sensor network (WSN) is a wireless network using sensors to cooperatively.
CSE 6590 Department of Computer Science & Engineering York University 1 Introduction to Wireless Ad-hoc Networking 5/4/2015 2:17 PM.
Clouds C. Vuerli Contributed by Zsolt Nemeth. As it started.
February 21, 2008 Center for Hybrid and Embedded Software Systems Cyber-Physical Systems (CPS): Orchestrating networked.
1 Sensor Networks and Networked Societies of Artifacts Jose Rolim University of Geneva.
Arsitektur Jaringan Terkini
Sensor Grid: Integration of Wireless Sensor Networks and the Grid Authors: Hock Beng Lim, Yong Meng Teo, Protik Mukherjee, Vihn The Lam, Weng Fai Wong,
A Survey on Wireless Mesh Networks Sih-Han Chen 陳思翰 Department of Computer Science and Information Engineering National Taipei University of Technology.
A Survey on Sensor Networks Rick Han CSCI 7143 Secure Sensor Networks Fall 2004.
Quality of service for wireless Ad Hoc Sensor Networks Nicolás E. Ortiz Hernández Dr. Rajan Shankaran.
1© Copyright 2015 EMC Corporation. All rights reserved. SDN INTELLIGENT NETWORKING IMPLICATIONS FOR END-TO-END INTERNETWORKING Simone Mangiante Senior.
1 3 rd SG13 Regional Workshop for Africa on “ITU-T Standardization Challenges for Developing Countries Working for a Connected Africa” (Livingstone, Zambia,
CS Dept, City Univ.1 Research Issues in Wireless Sensor Networks Prof. Xiaohua Jia Dept. of Computer Science City University of Hong Kong.
1 Energy Efficient Communication in Wireless Sensor Networks Yingyue Xu 8/14/2015.
Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED SYSTEMS.
MOBILE CLOUD COMPUTING
Whitacre College of Engineering Panel Interdisciplinary Cybersecurity Education Texas Tech University NSF-SFS Workshop on Educational Initiatives in Cybersecurity.
Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED SYSTEMS.
Distributed Real-Time Systems for the Intelligent Power Grid Prof. Vincenzo Liberatore.
Tufts Wireless Laboratory School Of Engineering Tufts University “Network QoS Management in Cyber-Physical Systems” Nicole Ng 9/16/20151 by Feng Xia, Longhua.
Cloud Computing. What is Cloud Computing? Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable.
Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED.
DISTRIBUTED SYSTEMS Principles and Paradigms Second Edition ANDREW S
Cloud Computing 1. Outline  Introduction  Evolution  Cloud architecture  Map reduce operation  Platform 2.
NSF Critical Infrastructures Workshop Nov , 2006 Kannan Ramchandran University of California at Berkeley Current research interests related to workshop.
Distributed Systems Principles and Paradigms
Mobile Networking Challenges1 5.6 Mobile Ad Hoc Networks  Ad hoc network does not have any preexisting centralized server nodes to perform packet routing,
1 COMPSCI 110 Operating Systems Who - Introductions How - Policies and Administrative Details Why - Objectives and Expectations What - Our Topic: Operating.
Wireless Mesh Network 指導教授:吳和庭教授、柯開維教授 報告:江昀庭 Source reference: Akyildiz, I.F. and Xudong Wang “A survey on wireless mesh networks” IEEE Communications.
Campus da FEUP Rua Dr. Roberto Frias, Porto Portugal T F © 2009 Communication.
1 Mobile ad hoc networking with a view of 4G wireless: Imperatives and challenges Myungchul Kim Tel:
COST289 14th MCM Towards Cognitive Communications 13 April Towards Cognitive Communications A COST Action Proposal Mehmet Safak.
Overview of Research Activities Aylin Yener
AKARI New Generation Network Architecture SeungHo Lee.
A Survey on Wireless Mesh Networks IAN F. AKYILDIZ, GEORGIA INSTITUTE OF TECHNOLOGY XUDONG WANG, KIYON, INC. IEEE Radio Communications September 2005.
1 Wireless Networks and Services 10 Years Down the Road Ross Murch Professor, Electronic and Computer Engineering Director, Centre for Wireless Information.
Deeply Embedded Large Scale Networks Specify and Control Emerging Behavior.
Ch System Models for Distributed and Cloud Computing Classification of Massive systems (Table 1.2) Clusters of Cooperative Computers 
1- Distributed Systems Principles and Paradigms Operating Systems: Concurrent and Distributed Software Design Jean Bacon, Tim Harris 2003.
Distributed Computing Systems CSCI 4780/6780. Geographical Scalability Challenges Synchronous communication –Waiting for a reply does not scale well!!
Networked Embedded and Control Systems WP ICT Call 2 Objective ICT ICT National Contact Points Mercè Griera i Fisa Brussels, 23 May 2007.
1 BRUSSELS - 14 July 2003 Full Security Support in a heterogeneous mobile GRID testbed for wireless extensions to the.
1 Mobile Computing and Wireless Networking CS 851 Seminar 2002 Fall University of Virginia.
Mobile Computing and Wireless Networking
From Coulouris, Dollimore, Kindberg and Blair Distributed Systems: Concepts and Design Edition 5, © Addison-Wesley 2012 Design of Parallel and Distributed.
Lecture 8: Wireless Sensor Networks
Emergency Services Workshop, 21th-24 th of October, Vienna, Austria Page 1 IP-Based Emergency Applications and Services for Next Generation Networks PEACE.
Internet of Things. IoT Novel paradigm – Rapidly gaining ground in the wireless scenario Basic idea – Pervasive presence around us a variety of things.
Chapter 8 – Cloud Computing
Overview of Wireless Networks: Cellular Mobile Ad hoc Sensor.
Wireless Mesh Networks Myungchul Kim
CLOUD COMPUTING WHAT IS CLOUD COMPUTING?  Cloud Computing, also known as ‘on-demand computing’, is a kind of Internet-based computing,
Challenges of Mobile ad-hoc Grids and their Applications in e-Healthcare Zhuoqun Li, Lingfen Sun and Emmanuel C. Ifeachor School of Computing, Communications.
Distributed Geospatial Information Processing (DGIP) Prof. Wenwen Li School of Geographical Sciences and Urban Planning 5644 Coor Hall
Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends Prepared by: Ameer Sameer Hamood University of Babylon - Iraq Information.
Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED SYSTEMS.
© 2007 IBM Corporation IBM Software Strategy Group IBM Google Announcement on Internet-Scale Computing (“Cloud Computing Model”) Oct 8, 2007 IBM Confidential.
Lecture 8: Wireless Sensor Networks By: Dr. Najla Al-Nabhan.
Communication Protocol Engineering Lab. VANET-cloud : a generic cloud computing model for vehicular ad hoc networks IEEE Wireless Communications February.
Medium Access Control. MAC layer covers three functional areas: reliable data delivery access control security.
QM/BUPT Joint Programme
Chapter 1 Characterization of Distributed Systems
COMPSCI 110 Operating Systems
Overview of Wireless Networks:
Cloud Computing By P.Mahesh
Introduction to Cloud Computing
EIS Fast-track Revision Om Trivedi Enterprise Information Systems
Adhoc and Wireless Sensor Networks
Presentation transcript:

Center for Advanced Technologies and Applications for the Next Generation Information and Communication Networking Sub-Project 1: Advanced Technologies and Applications for Wireless Networks

Important Research Issues  Wireless sensor networks  Mobile communication networks  Telematics and vehicular ad hoc networks (VANETs)  Cloud Computing 2015/8/15 2

Wireless Sensor Networks Data Aggregation Technology Wireless Sensor & Actuator Networks Telematics & VANET Medium Access Control Applications Information Delivery Technology Technologies Multimedia Streaming, Driving Safety, Driving Efficiency Mobile Commun. Networks Cooperative Networks Femtocell Networks LTE / WiMAX Multicast Technologies ApplicationsTechnologies Cyber Physical Systems - Smart Grid - Intelligent Home Internet of Things Cognitive Cloud Computing Service Cloud Computing Applications IPTV, VoIP, DVB Group Management Location-Based Service Organization of Sub-project /8/15 3

Wireless Sensor Networks  Virtual-Coordinate-Based Routing:  Virtual Coordinate Assignment Protocol  Routing Protocol  GPS-Free Information Brokerage:  Information Brokerage (e.g. Location Sever)  GPS-Free (Connection-Based) 2015/8/15 4

Wireless Sensor Networks  Data Aggregation:  Data Dependency  Data Transmission Path  Wireless Sensor and Actor Network  Actor: Movable and with Strong-Functionality (e.g. Fire Fighting helicopter, Battery Recharging Vehicle)  Data Transmission to Multiple Actors 2015/8/15 5

Wireless Sensor and Actor Networks 2015/8/15 6

Wireless Sensor Networks  Underwater Sensor Network:  Low Delivery Rate, Long Latency, and Low Moving Speed  Routing Protocol, Information Brokerage  Network Maintenance:  Node Active-Sleep Scheduling  Battery Recharging Scheduling 2015/8/15 7

Under-Water Sensor Networks 2015/8/15 8

Telematics & VANET: Technology and Applications  Reliable information delivery technology  Broadcast, multicast, and multi-hopping are crucial for vehicular ad-hoc networks.  Important research issues include Broadcast optimization, multicast tree construction, cluster planning Cooperative communication Routing algorithm tailored to network with Highly dynamic topology Highly non-uniform node distribution 2015/8/15 9

Telematics & VANET: Technology and Applications 2015/8/15 10

Telematics & VANET: Technology and Applications  Design and analysis of high performance MAC mechanism  Diverse telematics applications require various QoS  Important research issues include Opportunistic relaying Network coding Topology control Multi-Channel allocation Scheduling algorithm 2015/8/15 11

Telematics & VANET: Technology and Applications  Applications of driving safety/efficiency and multimedia streaming  Safety, efficiency and recreation are crucial for Telematics applications  Important research issues include Scheduling algorithm with QoS guarantee, scheduling over heterogeneous networks P2P multimedia streaming, P2P file searching and sharing, P2P application-layer multicast Route planning and navigation Fleet tracking and management Detection and dissemination of emergency information 2015/8/15 12

Mobile Communication Networks 2015/8/15 13

Mobile Communication Networks  Design of Cooperative Networks with High Performance and Quality-of-Service  QoS Support in Cooperative Networks  Bandwidth Management in Cooperative Networks  Cross-layer Design of Cooperative Networks based on MIMO techniques  Channel-Aware Transmission Control for Cooperative Networks 2015/8/15 14

Mobile Communication Networks  Design of Femtocell Networks with Quality-of-Service  Interference Management/Resource Allocation  Access Control  Handoff Management  Local IP Access  Selected IP Traffic Offload  Self-Organizing Networks  Emergency Call  Time Synchronizing/Spectrum Accuracy  Multiple Input Multiple Output (MIMO) 2015/8/15 15

Mobile Communication Networks  WiMAX/LTE Multicasting with Quality-of-Service  Layer-encoded Multimedia Server Design  Opportunistic Multicast Scheduling and Resource Allocation  Multi-BS Synchronization and Handoff  Sleep-mode Power Saving 2015/8/15 16

Cloud Computing Internet of Things Distributed Cloud Platforms Cyber-Physical Systems 2015/8/15 17

Distributed Cloud Platforms 2015/8/15 18 Infrastructure as a Service (IaaS) Deployment platform that abstracts the infrastructure Platform as a Service (PaaS) Developer platform that abstracts the infrastructure, OS, and middleware to drive developer productivity Software as a Service (SaaS) Finished applications that you rent and customize

Distributed Cloud Platforms  Software as a Service (SaaS)  Platform as a Service (PaaS)  Infrastructure as a Service (IaaS)  Scalability  Availability  Manageability  Accessibility  Performance Service ModelsEssential Properties 2015/8/15 19  Deliver fundamental service models and provide essential properties

Issues - SaaS  Web Service  Leveraging interconnectivity and mobility of client devices  Enhanced effectiveness with greater human participation  Web-based Application  Running interactive applications through a web browser  Conventional applications should be able to translate their access interface onto web-based platform 2015/8/15 20

Issues - PaaS  Runtime Environment  Dynamic provisioning On-demand resource provisioning  Load balancing Distribute workload evenly among resources  Fault tolerance Continuously operating in the presence of failures  Automatic Control  Police-Based Control Make the decision according to some principles and requirements  Workflow Control Workflow processing daemon delivers speedy and efficient construction and management of cloud resources 2015/8/15 21

Issues - IaaS  Virtual Resource Management  Provide an abstraction of logical resources based on virtualization technique  Manage virtualized resources for the deployment of virtual machine, virtual storage and virtual network  System Monitoring  Monitor system status of virtual and physical resources  Provide accurate information and lookup service through the web-based display 2015/8/15 22

Internet of Things  Internet of Things communication systems and network infrastructures  Location and tracking of objects  Connection of everyday objects to the Internet  Standards for an Internet of Things  Perhaps involved with the traditional issue about WSNs 2015/8/15 23

Internet of Things 2015/8/15 24

The Challenges of Cyber-Physical System Research 2015/8/15 25  Robustness, Safety, and Security of CPS  Uncertainty in the environment, security attacks, and errors in physical devices make ensuring overall system robustness, security, and safety a critical challenge  Control and Hybrid Systems  A new calculus must merge time-based systems with event-based systems for feedback control  Architecture  New network protocols must be designed for large-scale CPS. An innovative paradigm can be built around the notion of being “globally virtual, locally physical”

The Challenges of Cyber-Physical System Research  Verification, Validation, and Certification of CPS  Real-Time Embedded Systems Abstractions  New distributed real-time computing and realtime group communication methods are needed  Sensor and Mobile Networks  Knowledge creation from the vast amount of raw data being collected will be essential  Education and Training  Scientists and engineers who are properly trained in the fundamentals of computation, control, networking, and software engineering are critically needed 2015/8/15 26

Potential Applications for CPS integrated medical systems distributed micro power generation safe/efficient transportation military dominance economic dominance disaster recovery energy efficient buildings alternative energy pervasive adaptive communications more efficient financial networks distributed service delivery social networking and games CONTROL 2015/8/15 27

Sensors Everywhere 2015/8/15J. P. Sheu 28 Smart Buildings Kindly donated by Stewart Johnston Smart Bridges Credit: MO Dept. of Transportation Precision Agriculture Environmental Industrial Plants