Annual meeting of GTTI - June 24-26, 2013 - Ancona, Italy The STEM-Net Project A network element is called a “STEM-Node” when it is able to autonomously.

Slides:



Advertisements
Similar presentations
Doc.: IEEE xxx Submission May 10-14, 2004 Alan Carlton, Interdigital CommunicationsSlide 1 Defining Layer 2.5 Alan Carlton Interdigital Communications.
Advertisements

Self-Managing Networks Dr. Marcus Brunner Network Laboratories NEC Europe Ltd. Heidelberg, Germany
1 From Grids to Service-Oriented Knowledge Utilities research challenges Thierry Priol.
Mobile Application Architectures
Doc.: IEEE /0898r2 Submission July 2012 Marc Emmelmann, FOKUSSlide 1 Fast Initial Service Discovery: An enabler for Self-Growing Date:
The role of virtualisation in the dense wireless networks of the future Sokol Kosta CINI.
 What Is Desktop Virtualization?  How Does Application Virtualization Help?  How does V3 Systems help?  Getting Started AGENDA.
Omniran TG 1 Cooperation for OmniRAN P802.1CF Max Riegel, NSN (Chair OmniRAN TG)
Fraunhofer FOKUS Context Management in Dynamic Environments IWCMC 2009, June 2009 Jens Tiemann Humberto Astudillo Evgenij Belikov Fraunhofer Institute.
NDN in Local Area Networks Junxiao Shi The University of Arizona
CSE 6590 Department of Computer Science & Engineering York University 1 Introduction to Wireless Ad-hoc Networking 5/4/2015 2:17 PM.
Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights (2012 Intelligent Vehicles SymposiumAlcalá de Henares,
Grant agreement n° SDN architectures for orchestration of mobile cloud services with converged control of wireless access and optical transport network.
CS 441: Charles Durran Kelly.  What are Wireless Sensor Networks?  WSN Challenges  What is a Smartphone Sensor Network?  Why use such a network? 
SensIT PI Meeting, April 17-20, Distributed Services for Self-Organizing Sensor Networks Alvin S. Lim Computer Science and Software Engineering.
Institute of Technology, Sligo Dept of Computing Semester 3, version Semester 3 Chapter 3 VLANs.
(part 3).  Switches, also known as switching hubs, have become an increasingly important part of our networking today, because when working with hubs,
報告日期 :2012/03/07 指導教授 : 蔡亮宙 報 告 者 : 吳烱華 自製率 :100%.
1 Energy Efficient Communication in Wireless Sensor Networks Yingyue Xu 8/14/2015.
Network Devices BY JACKSON HARDESTY. Hubs  Hubs are a now outdated way of sending signals at layer 2 compared to switches.  Hubs are used primarily.
Basic Networking Components
Information Systems Today: Managing in the Digital World TB4-1 4 Technology Briefing Networking.
COGNITIVE RADIO FOR NEXT-GENERATION WIRELESS NETWORKS: AN APPROACH TO OPPORTUNISTIC CHANNEL SELECTION IN IEEE BASED WIRELESS MESH Dusit Niyato,
IEEE MEDIA INDEPENDENT SERVICES DCN: SAUC Title: Use cases of MIS framework to cooperate with SDN wireless access networks Date.
Network and the internet Part three Introduction to computer, 2nd semester, 2010/2011 Mr.Nael Aburas Faculty of Information.
A Mobile-IP Based Mobility System for Wireless Metropolitan Area Networks Chung-Kuo Chang; Parallel Processing, ICPP 2005 Workshops. International.
Presented by: Chaitanya K. Sambhara Paper by: Karl Mayer and Wolfgang Fritsche IABG mbH Germany - Instructor : Dr Yingshu Li.
Wireless Networks Breakout Session Summary September 21, 2012.
The University of Bolton School of Games Computing & Creative Technologies LCT2516 Network Architecture CCNA Exploration LAN Switching and Wireless Chapter.
IEEE SCC41 PARs Dr. Rashid A. Saeed. 2 SCC41 Standards Project Acceptance Criteria 1. Broad market application  Each SCC41 (P1900 series) standard shall.
Hiding in the Mobile Crowd: Location Privacy through Collaboration.
COST289 14th MCM Towards Cognitive Communications 13 April Towards Cognitive Communications A COST Action Proposal Mehmet Safak.
Cognitive Radio Networks
SAM for Virtualizatio n Presenter Name. Virtualization: a key priority for business decision makers Technavio forecasts that the global virtualization.
HNC COMPUTING - Network Concepts 1 Network Concepts Devices Introduction into Network Devices.
SHAWN CROWE LTEC /026 ASSIGNMENT #3 Networking Components.
Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Wireless Sensor Network Wireless Sensor Network Based.
Cooperative Wireless Networks Hamid Jafarkhani Director Center for Pervasive Communications and Computing
OS Services And Networking Support Juan Wang Qi Pan Department of Computer Science Southeastern University August 1999.
AD-HOC NETWORK SUBMITTED BY:- MIHIR GARG A B.TECH(E&T)/SEC-A.
1 BRUSSELS - 14 July 2003 Full Security Support in a heterogeneous mobile GRID testbed for wireless extensions to the.
Information Technology Needs and Trends in the Electric Power Business Mladen Kezunovic Texas A&M University PS ERC Industrial Advisory Board Meeting December.
Multi-Radio Integration for Heterogeneous IEEE Network Beyond 4G IEEE Presentation Submission Template (Rev. 9) Document Number: IEEE C /0015.
Enabling the Future Service-Oriented Internet (EFSOI 2008) Supporting end-to-end resource virtualization for Web 2.0 applications using Service Oriented.
End-to-End Efficiency (E 3 ) Integrating Project of the EC 7 th Framework Programme General View of the E3 Prototyping Environment for Cognitive and Self-x.
Internet of Things. IoT Novel paradigm – Rapidly gaining ground in the wireless scenario Basic idea – Pervasive presence around us a variety of things.
Status & Challenges Interoperability and global integration of communication infrastructure & service platform Fixed-mobile convergence to achieve a future.
Networking Components Assignment 3 Corbin Watkins.
1 Architecture and Behavioral Model for Future Cognitive Heterogeneous Networks Advisor: Wei-Yeh Chen Student: Long-Chong Hung G. Chen, Y. Zhang, M. Song,
ASSIGNMENT 3 - NETWORKING COMPONENTS BY JONATHAN MESA.
Leveraging SDN for The 5G Networks: Trends, Prospects and Challenges ADVISOR: 林甫俊教授 Presenter: Jimmy DATE: 2016/3/21 1.
Wireless LAN Requirements (1) Same as any LAN – High capacity, short distances, full connectivity, broadcast capability Throughput: – efficient use wireless.
IEEE MEDIA INDEPENDENT SERVICES DCN: SAUC Title: Use cases of MIS framework to cooperate with SDN wireless access networks Date.
Wireless sensor and actor networks: research challenges Ian. F. Akyildiz, Ismail H. Kasimoglu
Wireless Sensor Networks: A Survey I. F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci.
IMPROVING OF WIRELESS MESH NETWORKS.
Integrated Energy and Spectrum Harvesting for 5G Wireless Communications submitted by –SUMITH.MS(1KI12CS089) Guided by – BANUSHRI.S(ASST.PROF,Dept.Of.CSE)
Clouds , Grids and Clusters
Towards an Evolvable Internet Architecture
Ad-hoc Networks.
IEEE 802 OmniRAN Study Group: SDN Use Case
UCSD’s Responsphere Infrastructure
A Cognitive Approach for Cross-Layer Performance Management
I-Kang Fu, Paul Cheng, MediaTek
Cognitive Radio Networks
Chapter 3 VLANs Chaffee County Academy
Wireless Ad Hoc Networks
Cloud Computing LegalRun Solutions Why It’s Right for You!
Presentation transcript:

Annual meeting of GTTI - June 24-26, Ancona, Italy The STEM-Net Project A network element is called a “STEM-Node” when it is able to autonomously acquire new functions, new capabilities for which it was not specifically devised. The concept of “stemness” of a wireless communication device is accomplished following 5 main relevant capabilities: 1.Learning: A set of cognitive and decision making techniques by which a STEM-Node can dynamically learn its optimal configuration. 2.Intra stack reconfiguration: “on-the-fly” reconfiguration of Physical and MAC, “on-the-fly” implementation of extensions/variants of the MAC protocol. 3.Inter stack reconfiguration: support of multiple protocol stack and possible “on-the fly switching” from one to another. 4.Cooperation/Coordination: capability to coordinate with other network elements and to share tasks with them. 5.Spontaneous mobility: capability to spontaneously move Stemness property accomplished through: 1)intra-stack protocol reconfiguration, 2) multi- homing or inter-stack protocol reconfiguration, 3) learning, 4) cooperation, 5) controlled mobility ………………………………………………………………………………………………………………… Technological issues: Today the Internet “only just works”; further evolution can be sustained through the design of novel networking paradigms; there is no one-size-fits-all architecture for the future Internet. Governance Issues: fragmentation of network technologies, usually deployed by different operators; no centralized governance; long time to deploy new services; Some Facts The Stemness Concept The benefits I.Introduce in to the network a strong attitude to Self-* : No need for a central governance; Fast reconfiguration, fast reaction, fast deployment of new services. Opex reduction. II.Promote end-user devices from leafs to network elements: Increase the pervasiveness of the network Participated ownership. Capex Reduction. III.Introduce/Leverage high level of configurability in the network devices: Fast deployment of new networking paradigm; Fast deployment of new services; Capex Reduction. Results How a STEM-node can learn? In the scope of the inter-stack reconfiguration is proposed an algorithm for the epidemic management of mutations; The implementation of a new protocol stack is embedded into software module (evolving module) which is passed from a node to another Three concurrent process are carried out: i.The dissemination process, in which the spreading of information; ii.The individual decision process, in which each node individually decides whether to accept or not an evolution module; iii.The infection process, in which the executable implementation of an evolution module is transmitted to the requesting nodes; Infection Propagation THE STEM-NODE ARCHITECTURE Infection and learning speed U8150, although performing suboptimal compared to a wireless router, can manage traffic in an access segment, and thus can undergo mutation to cover multiple roles (in the specifc, EUSN or leaf node) in a stem- network for disaster recovery. Internet is continuously growing in terms of number of users, pervasiveness, and supported services. A large plethora of devices are nowadays connected from the internet: PC’s, Smartphone, TVs, and “Things” … Many actors have emerged: Telcos, City authorities and utilities just to name a few. The Consequences Enabling Technologies Radio Device Re-configuration Decision and Control methodologies Knowledge Representation. Meta-roles and mutation Controlled Mobility Cooperation & STEM-network creation. Basics devices and their evolution line I.Standalone/Fixed No mobility, high performances, no energy limitations (Node-B, Wireless AP o Desktop PCs); II.End-User/Mobile: No controllable mobility, average performance, limited energy (Laptops, Tablets); III.Autonomous/Swarm: high mobility, able to decide how to move, Battery/APU. Each stem-node is provided with a set of roles R={r 1,r 2,r 3, … r M } denoting the network capabilities/functionalities that the device can provide. Besides these, a stem-node can also play some “meta-roles” “learnt” from other nodes by relying on cooperation with them. STEM-NETWORK ARCHITECTURE AND USE-CASE SCENARIOS Data forwarding ability in disaster scenario Access networkDisaster recovery 1)Access Network: stem-nodes and related functions can be leveraged to guarantee pervasive access, by promoting the spontaneous network extension; 2)Disaster recovery: survivors’ devices could be isolated due to the heterogeneity of protocols stacks, through Stem-Net these devices are able to create a spontaneous communication infrastructure, to aid diagnosis, or detect dangerous situations. 800m^2 area, node density in [1.44e-4, 3.44e-4] node/m^2; Infection probability F=0.5; Node lifetime G exponentially distributed with E{G} in [150s,∞]; Ricean fading model; Each evolution module is 1 MB long.