We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published bySavannah Hernandez
Modified over 3 years ago
Mobile Wireless Sensor Network (mWSN) at NokiaJian Ma Nokia Research Center, China Thanks also to Canfeng Chen © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
Emerging applications of WSNMany critical issues facing science, government, and the society call for high-fidelity and real-time observations and manipulations of the physical world Within the next few years, distributed sensing and computing will be everywhere, i.e., homes, offices, factories, automobiles, shopping centers, super-markets, farms, forests, rivers, lakes, mobile phone, and even body. Some of the immediate commercial applications of WSN are Industrial automation (process control) Environmental (ecology system monitoring) Defense (unattended sensors, real-time monitoring) Utilities (automated meter reading), Weather prediction (temperature, humidity) Security (smart building, tracking, car theft detecting) Building automation (HVAC controllers). Disaster relief operations (earthquake, firefighting) Medical monitoring and instrumentation (remote sensing and health care) Intelligent transportation (unmanned driving) HVAC: Heating, ventilation, and air-conditioning © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
WSN System Model Emergence of Application-Driven (not Application-Specific) Common System Model © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
Research Challenges of WSNNumerous unattended and resource-constrained sensors, deployed at high density in regions requiring surveillance and monitoring. Network topology is unknown due to unexpected node failures. Sensors are memory as well as energy constrained, and power consumption in WSN can be divided into three domains: Communication, Data Processing, and Sensing Tradeoff between energy and QoS Prolong network lifetime by sacrificing application requirements, such as delay, throughput, reliability, data fidelity,… Emerging new applications results diversity of small sensor networks Mobility and Heterogeneity are being re-considered Connectivity and Scalability Cluster and Overlay © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
Why mobile WSN Connecting small world networksConvergence of diversity WSNs – global WSN services Pervasive / ubiquitous computing: user centric, Invisible, Transparent, Embedded, Mobile, Everywhere Popularity of multi-Radio mobile terminals Multi-mode mobile terminal such as WiFi-UMTS, WiMax/WiBro-UMTS, Bluetooth-UMTS, Zigbee-UMTS integrated mobile phones, PDAs, smart phones, etc Deployment of sensors in mobile phones and mobile commerce Various sensors in mobile phones E-Wallet, Smart Card, RFID, NFC Mobility-aware and location-based services GPS and Cellular Positioning for location-aware computing Need for customized services Profit opportunity of serving sudden impulses and customized needs of customers at various moments © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
mWSN Architecture © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
Mobile networks /InternetOverlay structure Mobile networks /Internet © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
Key features of MWSN: Heterogeneity and MobilityHeterogeneity: radio, computing, energy, type, … Radio link heterogeneity leads to hierarchy/overlay, more scalable Energy heterogeneity suggests routing optimization, not shortest-path-first Computing heterogeneity partitions whole network to different roles Actor/Actuator nodes with decision unit Provide greater functionality than sensor nodes: make decisions and perform actions Example: WSAN – feedback closed loop Mobile phones have multiple radios, and will become powerful computing devices besides communication devices Mobility: information mining on-the-fly One mobile sink equals virtually multiple sinks Example: Networked Info-Mechanical Systems (NIMS) Reduce path length, energy consumption, energy dissipation non-uniformity Enhance coverage, connectivity, and relocability Realize adaptive resource provision and fidelity-driven sampling Mobile phones can gather and process information on-the-fly, realizing interactions with ambient intelligence Static Sensor nodes spatially distributed Limited energy and sampling rate Simultaneous sampling (dense in time, but possibly sparse in space) Nodes with mobility Allows dense sampling (dense spatially, but possibly sparse in time) Goal is to have statistical information over entire study region with quality similar to high resolution sampling, without applying high resolution to entire region © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
Summary Emerging of Multi-Radio mobile terminals builds gateway for people to access any WSN services Multi-Radio heterogeneity in wireless networks can be leveraged to connect small world networks Introduction of mobile sink can reduce path length and energy dissipation non-uniformity Sensor mobility can be exploited to compensate for the lack of sensors or sensor failures and improve network coverage mWSN enables innovative ubiquitous applications © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
Thank you © Nokia V1-Filename.ppt / yyyy-mm-dd / Initials
Lecture 8: Wireless Sensor Networks By: Dr. Najla Al-Nabhan.
Embedded Systems Design ( ) Lecture 18 Microcontroller-Based Wireless Sensor Networks Prof. Kasim M. Al-Aubidy Philadelphia University.
Wireless sensor and actor networks: research challenges Ian. F. Akyildiz, Ismail H. Kasimoglu
Wireless Sensor Network (WSN). WSN - Basic Concept WSN is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively.
Tufts Wireless Laboratory School Of Engineering Tufts University “Network QoS Management in Cyber-Physical Systems” Nicole Ng 9/16/20151 by Feng Xia, Longhua.
Wireless M2M System Architecture for Data Acquisition and Control Elmira Dichkova Bachvarova Central Laboratory of Mechatronics and Instrumentation Bulgarian.
30 th ASEI National Convention Disruptive Innovations & Technologies September 19, 2015 Dearborn, MI IoT, Big Data and Emerging Technologies Kameshwar.
Internet of Things. IoT Novel paradigm – Rapidly gaining ground in the wireless scenario Basic idea – Pervasive presence around us a variety of things.
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.
Overview of Wireless Networks: Cellular Mobile Ad hoc Sensor.
Autonomic Wireless Sensor Networks: Intelligent Ubiquitous Sensing G.M.P. O’Hare, M.J. O’Grady, A. Ruzzelli, R. Tynan Adaptive Information Cluster (AIC)
1 Wireless Networks and Services 10 Years Down the Road Ross Murch Professor, Electronic and Computer Engineering Director, Centre for Wireless Information.
1 Mobile ad hoc networking with a view of 4G wireless: Imperatives and challenges Myungchul Kim Tel:
Machine-to-Machine (M2M) Communication Betty XU Nov 27, 2014.
1 Energy Efficient Communication in Wireless Sensor Networks Yingyue Xu 8/14/2015.
anywhere and everywhere. omnipresent A sensor network is an infrastructure comprised of sensing (measuring), computing, and communication elements.
Opportunities in M-Commerce Standards & Applications Nour El Kadri University of Ottawa.
CloudMAC: Moving MAC frames processing of the Sink to Cloud.
AD-HOC NETWORK SUBMITTED BY:- MIHIR GARG A B.TECH(E&T)/SEC-A.
KAIST Wireless sensor and actor networks: research challenges Ian F. Akyildiz, Ismail H. Kasimoglu Elsevier Ad Hoc Networks 2004 JY Hong
Quality of service for wireless Ad Hoc Sensor Networks Nicolás E. Ortiz Hernández Dr. Rajan Shankaran.
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 2nd Lecture Christian Schindelhauer.
Ch. 1. The Third ICT Wave 1The Third ICT Wave. The communication revolution is now extending to objects as well as people. M2M (machine-to-machine)
CSE 6590 Department of Computer Science & Engineering York University 1 Introduction to Wireless Ad-hoc Networking 5/4/2015 2:17 PM.
Intro Wireless vs. wire-based communication –Costs –Mobility Wireless multi hop networks Ad Hoc networking Agenda: –Technology background –Applications.
Wireless Access and Networking Technology (WANT) Lab. An Efficient Data Aggregation Approach for Large Scale Wireless Sensor Networks Globecom 2010 Lutful.
1 Ubiquitous Computing Nov. 15, 2006 Ki-Joune Li.
Innovative ICT Building a Better Smart City. Agenda 1. Why focus on Smart City 2. What is a Smart City 3. References.
Introduction to Networked Robotics CS 643 Seminar on Advanced Robotics Wenzhe Li, Graduate Student Texas A&M University.
報告日期 :2012/03/07 指導教授 : 蔡亮宙 報 告 者 : 吳烱華 自製率 :100%.
Smart Grid Energy Generation Renewable Energy Distributed Generation Transmission & Distribution Load Management Demand Response Electrical Vehicles Charging.
Wireless sensor networks: a survey. 2 Outline Introduction Applications of sensor networks Factors influencing sensor network design Communication architecture.
Project Introduction 이 상 신 Korea Electronics Technology Institute.
Wireless Sensor Networks. Outline Introduction to Wireless Sensor Networks Basic Features of WSNs Applications Factors Influencing WSN Design.
M-GEAR: Gateway-Based Energy- Aware Multi-Hop Routing Protocol Qaisar Nadeem Department of Electrical Engineering Comsats Institute of Information Technology,
1 Enabling Smart Cities/Campuses to Serve the Internet of People Florence Hudson Senior Vice President & Chief Innovation Officer Internet2 TNC16 June.
Test-Bed for testing scenarios of new DTN architecture AsiaFI 2008 August, 2008 Multimedia and Mobile Communication Lab.
Topics in Internet Research Energy-Efficient QoS-based routing protocol for Wireless Sensor Networks FAWAZ SALEEM BOKHARI
ZigBee Introduction A technological standard designed for control and sensor networks. A wireless language that everyday devices.
Introduction To Wireless Sensor Networks Wireless Sensor Networks A wireless sensor network (WSN) is a wireless network consisting of spatially distributed.
Object and Event Recognition in Wireless Multimedia Sensor Networks Clint Mueller CS441.
FIRE/STREP Project HOBNET (HOlistic Platform Design for Smart Buildings of the Future InterNET - Challenges.
Wireless Sensor Networks Nov 1, 2006 Jeon Bokgyun
OneM2M Technical Requirements - Driven by EU BUTLER and IEEE PAC - Group Name: WG1 (REQ) Source: Friedbert Berens, FBConsulting Sarl,
Forum on Internet of Things: Empowering the New Urban Agenda Geneva, Switzerland, 19 October 2015 Empowering Urban Innovation Through Convergence of IoT-Big.
C HAPTER 6 Mobile Commerce and Ubiquitous Computing.
Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends Prepared by: Ameer Sameer Hamood University of Babylon - Iraq Information.
Group Confidential Orange and connected cars : a few insights (seen from abroad) Samuel Loyson, marketing director – Automotive Services.
© 2017 SlidePlayer.com Inc. All rights reserved.