Ppt on wireless integrated network sensors

IComp Ubiquitous Computing. M2M Wireless Communication Dr. P.C.Jain.

situation (Base Station) Multi-hop WSN RFID RF Identification (RFID) determines location of sensor nodes or objects RFID tag is powered by an electromagnetic field generated by reader RFID reader reads information of RFID tag and passes it to host for analysis RFID System Sensor Node integrated with RFID Reader Wireless Network Wireless network can be divided into 3 groups A) Near Field Communication (NFC): Covers very/


1 Wireless Sensor Networks Akyildiz/Vuran Chapter 2: Applications.

, laptops, or ambulance-based terminals  Data can be displayed in real time and integrated into the developing pre-hospital patient care record  Can be programmed to process the vital sign data (and provide alerts) 34 Wireless Sensor Networks Akyildiz/Vuran Wireless Automatic Meter Reading (WAMR) Systems for Power Utilities 35 Wireless Sensor Networks Akyildiz/Vuran Wireless Automatic Meter Reading (WAMR) Systems  Automatic meter reading functionalities:  Real-time energy consumption/


Objective: Share Experience based on

, M-Government, M-Life, Positional Apps) Platforms to Support Mobile Applications Mobile IP Wireless middleware (WAP, iMode, J2ME, BREW, MMIT) Wireless Networks Wireless PANs (Sensor Networks, Bluetooth, UWB) Wireless LANs (Wi-Fi, 802.11a to n) Wireless Local Loops and Free Space Optics Cellular networks: from 1 to 5G Networks Satellite communications and Deep Space Networking Security, Integration, and Management Issues University Course Outline Copyrights: Amjad Umar Copyrights: Amjad Umar The Jargon/


Page 1 Theodore Zahariadis1 st Student workshop on Wireless Sensor Networks AWISSENET Ad-hoc PAN & WIreless Sensor SEcure NETwork AWISSENET Ad-hoc PAN.

µm For directly embedding into paper Compared with crystal of granulated sugar Page 4 Theodore Zahariadis1st Student workshop on Wireless Sensor Networks Monitoring the Environment Page 5 Theodore Zahariadis1st Student workshop on Wireless Sensor Networks Ad-hoc PAN & Sensor Networks Ad-hoc PAN and Wireless Sensor Networks (AWSN) are expected to: form an integral part of the foreseen Future Internet (of Things) play a key role in the vision of offering mobile/


A New Method for Intrusion Detection on Hierarchical Wireless Sensor Networks The Third International Conferences on Ubiquitous Information Management.

cs.wpi.edu Outline IntroductionIntroduction Intrusion Detection Systems (IDS) for Wireless Sensor NetworksIntrusion Detection Systems (IDS) for Wireless Sensor Networks Collaborated-Based Intrusion DetectionCollaborated-Based Intrusion Detection Routing Table Intrusion DetectionRouting/ table.Anomalies recorded in the SCH isolation table. SCH isolation tables integrated by PCH.SCH isolation tables integrated by PCH. Advanced Networks 2009 Intrusion Detection on Hierarchical WSNs 26 Stage 2 -SCHs Monitors /


The Mote Revolution: Low Power Wireless Sensor Network Devices

3 minutes using synchronization (<1% duty cycle) 453 days 328 days 945 days “The Mote Revolution: Low Power Wireless Sensor Network Devices” Hot Chips 2004 : Aug 22-24, 2004 “The Mote Revolution: Low Power Wireless Sensor Network Devices” Sensors Integrated Sensors Sensirion SHT11 Humidity (3.5%) Temperature (0.5oC) Digital sensor Hamamatsu S1087 Photosynthetically active light Silicon diode Hamamatsu S1337-BQ Total solar light Expansion 6 ADC channels 4 digital/


1 Building Pervasive Computing Applications on Sensor Networks Rutgers, The State University of New Jersey www.winlab.rutgers.edu.

a “lifelog” that stores a history of events by location  know where your co-workers and family members are Future Wireless: Pervasive Applications IAB, May 13, 2004 5 Sensors  Tiny, low-power, integrated wireless sensors (hardware)  Embedded OS and networking capabilities (software) Ad-hoc wireless networks  Self-organizing sensor networks  Scalable, capable of organic growth  Interface to existing 3G/4G cellular and WLAN  Power efficient operation  Congestion control Pervasive computing/


Systems Wireless EmBedded Welcome to the WeBS Retreat David Culler Eric Brewer, David Wagner Shankar Sastry, Kris Pister.

kits each consisting of approximately 100 wireless networked sensor nodes, plus base-stations, lab programming harness, and software tools. –Distribute kits to project groups –PCB board manufacture and assembly will be out-sourced. B. FY01 Challenge Problem Development –Collateral work, in coordination with DARPA, developing Challenge Applications involving distributed control and large-scale for the OEP1. –Developing integration experiments related to Challenge Applications. C/


2/9/2006 Opportunistic Networks: The Concept and Research Challenges Leszek Lilien, Zille Huma Kamal and Ajay Gupta In cooperation with: Vijay Bhuse and.

14 2/9/2006 YES NO Collaborative processing Detect candidate helpers (system) GROWTH Integrate helper’s resources Admit candidates into oppnet Work done? Clean up all helpers /Network Simulators  Collaborative Image Processing (*)  DENSe: a Development Environment for Networked Sensors  Incorporating Mobile-ware in Distributed Computations / Grids (*)  Extending the ns-2 Simulator to Satellite and WCN Simulations  Smart Antennas for WCNs  Energy Efficient MAC Protocols for IEEE 802.11x  A Wireless/


Embedded Systems for Wireless Sensor Network Rabi Mahapatra.

A&M-Spring072 Background Advancement of integration between “tiny embedded processors, wireless interfaces, and “micro-sensors” based on MEMS led to emergence of wireless sensor network. Characterized by their ability to monitor the physical environment through ad-hoc deployment of numerous tiny, intelligent, wirelessly networked sensor nodes. Mahapatra-Texas A&M-Spring073 Large number of heterogeneous sensor devices –Ad Hoc Network complex sensor nodes with –communication, processing, storage capabilities/


Ad Hoc and Sensor Networks – Roger Wattenhofer –1/1Ad Hoc and Sensor Networks – Roger Wattenhofer –1/1 Introduction Chapter 1.

–User location awareness: computers recognize the location of the user and react appropriately (call forwarding) “Computers” evolve –Small, cheap, portable, replaceable –Integration or disintegration? Ad Hoc and Sensor Networks – Roger Wattenhofer –1/21Ad Hoc and Sensor Networks – Roger Wattenhofer –1/21 Physical Layer: Wireless Frequencies 1 Mm 300 Hz 10 km 30 kHz 100 m 3 MHz 1 m 300 MHz 10 mm 30 GHz 100/


Embedded operating systems for sensor nodes Hirdepal Singh Hunjan 6533352

sense to integrate network memory management closely with the operating system, to make maximum use of the data memory that is available. Sensing Calibrating sensors is an /Sensor Operating Systems Hirdepal Singh Hunjan 25 Dynamic Network Reprogramming Wireless sensor networks consist of a collection of programmable radio-equipped embedded systems. The behavior of a wireless sensor network is encoded in software running on the wireless sensor network nodes. The software in deployed wireless sensor network/


ECE 454/CS 594 Computer and Network Security Dr. Jinyuan (Stella) Sun Dept. of Electrical Engineering and Computer Science University of Tennessee Fall.

homes ◦ … Security Requirements sink An attacker at (20,18) ABU Message confidentiality An attacker at (20,18) Message authenticity & integrity Node mutual authentication More … Design Challenges Shared wireless channel ◦ Facilitate message eavesdropping & injection Resource constraints of sensor nodes ◦ Battery, memory, computation, communication … Very large network scale ( n*100 or n*1000 ) ◦ Impossible to monitor each individual node ◦ Nodes are subject to attacks such as/


6LoWPAN: The Wireless Embedded Internet Companion Exercise Slides

.2010 6LoWPAN: The Wireless Embedded Internet, Shelby & Bormann 6LoWPAN: The Wireless Embedded Internet, Shelby & Bormann Real-time Issues Wireless embedded systems usually are real-time Watch, robot, building sensor, control node A/- More expensive - App integration with stack Network processor solution Network stack on the radio + Application independent of the stack + Easy integration v4.3.2010 6LoWPAN: The Wireless Embedded Internet, Shelby & Bormann 6LoWPAN: The Wireless Embedded Internet, Shelby & /


Wireless IO Networking with ADAM-2000 Series Sales webinar

range 193 ADAM-2051Z-AE 8-ch Digital Input Node 162 ADAM-2510Z-AE Router Node 200 ADAM-2520Z-AE Modbus RTU Gateway 216 With excellent Margins for system Integrators and VARs - 51 - Wireless Sensor Network - Players in the Field ZB-2xxx Series WSN-32 Series There are plenty of players in the field, but there is no leading company at present. The players/


By Salma Ahmed Student No. 5836385 Middleware for Sensor networks.

Middleware approach  Conclusion  References  Proposed questions Introduction of Wireless Sensor Network Wireless Sensor Network is a form of ad-hoc network consisting of large number of heterogeneous tiny sensors with communication, processing and storage capabilities to monitor physical or /based on shared tuple space which supports data aggregation. It has three main components: 1. Lime Integration component 2. Mote interface 3. Mote-level subsystem No built in security support & does not support/


Wireless Information Networking Group (WING) Securing Wireless Ad Hoc Networks: An ID-Based Cryptographic Approach Yuguang “Michael” Fang, Professor JSPS.

–Security requirements Security issues to tackle Our ID-based public key approach Conclusion & future work Future Cyberspace: Integrated Wired-Wireless Internet Mobile Ad-Hoc Networks Current Internet Wi-Fi Networks Cellular Networks WiMAX Networks Wireless Mesh Networks Wireless Sensor Networks NSF GENI Vision www.geni.net Wireless Information Networking Group (WING) Wireless Movement There are many interesting applications –Cellular phones –PDAs or iPods –Bluetooth earphones –Wi-Fi (hot-spot technologies/


Security and Cooperation in Wireless Networks Georg-August University Göttingen Secure routing in multi-hop wireless networks (II) Secure routing in multi-hop.

the nodes Less overhead than topology-based routing protocols (suitable for sensor networks) also more resistance against attacks aiming at creating incorrect routing states  One example is Implicit Geographic Forwarding (IGF) routing protocol 28 Georg-August University Göttingen Secure routing in multi-hop wireless networks IGF (Implicit Geographic Forwarding)  position-based routing integrated with the RTS/CTS handshake of the MAC layer  when u/


Chapter 1: Motivation for a Network of Wireless Sensor Nodes.

devices for storage, analysis, and processing 15 Fundamentals of Wireless Sensor Networks: Theory and Practice Waltenegus Dargie and Christian Poellabauer © 2010 History of Wireless Sensor Networks DARPA: Distributed Sensor Nets Workshop (1978) Distributed Sensor Networks (DSN) program (early 1980s) Sensor Information Technology (SensIT) program UCLA and Rockwell Science Center Wireless Integrated Network Sensors (WINS) Low Power Wireless Integrated Microsensor (LWIM) (1996) UC-Berkeley Smart Dust project/


Intrusion Detection Systems for Wireless Sensor Networks: A Survey Ashfaq Hussain Farooqi FAST-NUCES, Islamabad, Pakistan.

Reliability Improvements, 2006. 10. P. Innella and O. McMillan, “An Introduction to Intrusion Detection Systems," Article by Tetrad Digital Integrity, LLC, December 2001. 11. J. P. Walters, Z. Liang, W. Shi and V. Chaudhary, “Wireless sensor networks security: A survey," Security in Distributed, Grid, and Pervasive Computing, Auerbach Publications, CRC Press, 2006. 12. R. Roman, J. Zhou and J. Lopez, “Applying Intrusion Detection Systems/


Fall 2006 Introduction to Wireless Sensor Network Part 2 Choong Seon Hong Kyung Hee University

against various types of attacks to maintain overall systems security and integrity Fall 2006 30  Sensor Network Management Issues (cont’d) An well managed sensor network must know its environment and the context surrounding its activities and / and agent location in hierarchical WSN  Agents in the network and intermediate manager  Agents and distributed managers in the network Fall 2006 46  Concluding Words Wireless Sensor Networks provide a fundamentally new set of research and application challenges /


Sensor Network Applications. Introduction –Habitat and environmental monitoring represent essential class of sensor network applications by placing numerous.

between –When it comes to data collection, long-latency is preferable to data loss –Users interact with the sensor network in two ways Wireless Sensor Networks for Habitat Monitoring [Mainwaring+ 2002] System Architecture –Remote users access the replica of the base station database –This approach assists on integration with data analysis and mining tools while masking the potential wide area disconnections with the base stations –On/


© 2007 Levente Buttyán Security and Privacy in Upcoming Wireless Networks Key establishment in ad hoc networks exploiting - physical contact; - mobility.

distance (a few meters) - Ensures integrity and confidentiality Alice Bob Exploiting vicinity and the secure side channel Key establishment in ad hoc networks Security and Privacy in Upcoming Wireless Networks SWING’07, Bertinoro, Italy, 2007. / and P. K. Varshney, "A pairwise key pre-distribution scheme for wireless sensor networks", ACM CCS, 2003 Key establishment in sensor networks Security and Privacy in Upcoming Wireless Networks SWING’07, Bertinoro, Italy, 2007. 44/46 Assumptions revisited (and more/


1 Wireless Sensor Networks Akyildiz/Vuran Chapter 14: Wireless Sensor and Actor Networks.

) 8 Wireless Sensor Networks Akyildiz/Vuran Helicopter Platform 9 Wireless Sensor Networks Akyildiz/Vuran Components of Sensor & Actor Nodes Sensing Unit ADC Processor & Storage Transceiver Power Unit Sensor Node Actor Node Actuation Unit Processor & Storage DAC Transceiver Power Unit Controller (Decision Unit) 10 Wireless Sensor Networks Akyildiz/Vuran Sensor Processing Sensing Unit Actuation Unit Controller Decision Process Power Unit Transceiver Integrated Sensor & Actor Nodes 11 Wireless Sensor Networks/


Wireless sensor Grid - Reports LTER ASM Meeting, Workshop on Sensor Networks; NSF Workshop Report on Environmental Cyberinfrastructure Needs for Distributed.

Exploration (the adaptive network) Optimizing wireless networks Auto-configuring ad hoc networks Managing the data load from ad hoc networks Managing power Distributing data to diverse clients Developing network intelligence Studying links across/network, sensors, and sensitive data –Need tools for self-diagnosis and self-healing of network, and resilient operation when some nodes compromised. Metadata and Data Management What metadata developments are needed to promote data discover, access, integration/


Software Dynamic Translators on Wireless Sensor Networks: Challenges, Approaches, and Tradeoffs Jing Yang, Apala Guha, Kim Hazelwood, Mary Lou Soffa, and.

Integrate software dynamic translation techniques to existing operating systems, such as [3, 4, 7]. References: [1] Atmel Corporation. Atmega128L Specifications. http://www.atmel.com/dyn/products/product_card.asp?part_id=2018. [2] Jan Beutel. Metrics for sensor network platforms. In Proceedings of ACM Workshop on Real-World Wireless Sensor Networks/, Eric Brewer, and David Culler. TinyOS: an operating system for wireless sensor networks. Ambient Intelligence, 2004. [8] Nicholas Nethercote and Julian Seward. /


INT598 Sensor Networks Silvia Nittel Spatial Information Science & Engineering University of Maine Fall 2006.

NCGIA, University of Maine, 2006 Abbreviations Sensit Darpa’s Program “Sensor Information Technology” WINS Wireless Integrated Network Sensor Platforms Developed by Sensoria Corporation for Darpa’s Sensit program NEST Network Embedded Systems OEP Open Experimental Platform (a middleware for sensor networks) INT598: IGERT in Sensor Science, Engineering and Informatics 10 © Dr. Silvia Nittel, NCGIA, University of Maine, 2006 Sensor NetworkSensor Node”: Tiny vanilla computer with operating system, on- board/


1 “Politehnica” University of Timişoara Faculty of Automation and Computers Smart Sensors and Sensor Networks Master program, 1 st year Lecturer: prof.

but users and the whole network; a SN does not connect different parties together but provide information to users; 10 Smart Sensors and Sensor Networks Wireless sensor networks vs. conventional wireless ad hoc networks:  The majority of existing/– attended methods; 28 Smart Sensors and Sensor Networks  Military applications: Asset monitoring and management: commanders can monitor the status and locations of troops, weapons and supplies; WSNs became an integral part of military command, control,/


International Journal of Advanced Science and Technology Vol. 30, May, 2011 Intrusion Detection Based Security Solution for Cluster-Based Wireless Sensor.

Security is becoming a major concern for protocol designers of WSN because of the broad security- critical applications of wireless sensor networks (WSNs). To protect a network, there are usually several security requirements, which should be considered in the design of a security protocol, including confidentiality, integrity, and authenticity. An effective security protocol should provide services to meet these requirements. In many cases, no matter/


SENSOR NETWORKS I. F. AKYILDIZ Broadband Wireless Networking Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Tel:

Condition Sensor - Water - Salinity - Temperature Wireless Underground Sensor Networks I.F. Akyildiz and Erich Stuntebeck, “Wireless Underground Sensor Networks: Research Challenges”, Ad Hoc Networks (Elsevier) Journal, Nov. 2006. Sink IFA’2016 ECE6615 25 UNDERGROUND SENSOR NETWORKS COMMUNICATION/ZB Coordinator (FFD) –ZB Router (FFD) –ZB End-Device (RFD o FFD) ZigBee Routing Integrates: ZigBee Routing Integrates: –Ad-hoc On-demand Distance Vector (AODV) –Cluster Tree Algorithm Thousands of papers on routing /


Sensor Network Applications. Introduction –Habitat and environmental monitoring represent essential class of sensor network applications by placing numerous.

between –When it comes to data collection, long-latency is preferable to data loss –Users interact with the sensor network in two ways Wireless Sensor Networks for Habitat Monitoring [Mainwaring+ 2002] System Architecture –Remote users access the replica of the base station database –This approach assists on integration with data analysis and mining tools while masking the potential wide area disconnections with the base stations –On/


Challenges in Sensor Networks for Intelligent Systems Subra Ganesan Department of Electrical and Computer Engineering, Oakland University Rochester, Michigan.

, Distributed control, Real Time alert, Health monitoring and others. Wireless Network can be found in: Weather monitoring in remote locations, Military surveillance, Remote Bridge monitoring, Electricity Power pole structural health monitoring, environmental monitoring, industrial sensing and diagnostics, military and many others. The development of silicon micro-machined sensors enables physical transducers to be integrated with control and signal processing electronics in a single, compact/


SENSORS AND BLUETOOTH TECHNOLOGY FOR SMART CONSTRUCTION YASHU.N.D 5 TH SEM CIVIL ENGG.

. Thus implementation of blue tooth technology for sensor networks not only cuts wiring cost but also integrates the industrial environment to smarter environment. Today, with a broader specifications and a renewed concentration on interoperability, manufacturers are ready to forge ahead and take blue tooth products to the market place. Embedded design can incorporate the blue tooth wireless technology into a range of new products/


1 “Politehnica” University of Timişoara Faculty of Automation and Computers Smart Sensors and Sensor Networks Master program, 1 st year Lecturer: prof.

destinations but users and the whole network; a SN does not connect different parties together but provide information to users; 10 Smart Sensors and Sensor Networks Wireless sensor networks vs. conventional wireless ad hoc networks:  The majority of existing/ methods; 28 Smart Sensors and Sensor Networks  Military (C 4 ISRT) applications: Asset monitoring and management: commanders can monitor the status and locations of troops, weapons and supplies; WSNs became an integral part of military command/


CSE 713: Wireless Networks Security – Principles and Practices Shambhu Upadhyaya Computer Science and Engineering University at Buffalo Lecture 2 February.

Addressed Message Integrity Adds a message integrity protocol to /networks Sensor networks CEISARE @ 38 Ad-hoc Fundamentals  Ad hoc networks are autonomous networks operating either in isolation or as “stub networks” connecting to a fixed network  Do not necessarily rely on existing infrastructure  No “access point”  Each node serves as a router and forwards packets for other nodes in the network  Topology of the network continuously changes CEISARE @ 39 Challenges  Limitations of the Wireless Network/


Chapter 24 Using Ant Colony Agents for Designing Energy-Efficient Protocols for Wireless Ad Hoc and Sensor Networks Isaac Woungang (Department of Computer.

energy saving that this scheme may have benefited if the nodes status was investigated or if multiple sink nodes were integrated, was not investigated. ACO-based algorithm by Wen et al.[6] This algorithm is designed for minimizing the time delay in wireless sensor networks when transferring the data, while accounting for the energy level of a node as constraint. In their scheme, ant/


July 2003 doc.: IEEE 802.15-04/266r0 Submission Slide 1IEEE 802.15.4 Interest Group a Leadership Project: IEEE P802.15 Working Group for Wireless Personal.

for Soldiers –Firefighter Rescue Finding Assets –Autonomous Manifesting –ISO Container Security Machine-to-Machine (M2M) –Wireless Sensor Networks –Home/Office Automation –Robotics Houghton- Aetherwire July 2003 doc.: IEEE 802.15-04/266r0 Submission Slide /Possible cooperation between European Programs and IEEE 15.4.Ig4a supporters: user requirements, technology (e.g. antenna, integrated batteries),… STM is strongly supporting an alternate PHY study for 15.4 Rouzet- STMicroelectronics July 2003 doc.: IEEE/


Program Integrity Verification (PIV) in Wireless Sensor Networks (WSN) Based on Park and Shin 2005 presented by Therese Paul.

. IEEE TRANSACTIONS On Mobile Computing, Vol. 4, No. 3, May/June 2005 “Distributed Authentication of Program Integrity Verification in Wireless Sensor Networks” By Katharine Chang, Kang G. Shin. Proceedings of 2nd International Conference on Security and Privacy in Communication Networks (SecureComm), Baltimore, MD 2006 IEEE “Secure Routing In Wireless Sensor Networks: Attacks And Countermeasures” By Chris Karlof and David Wagner. University of California at Berkeley, Berkeley, CA 94720/


Research issues in wireless Sensor networks Presented by: Brajendra Kumar Singh Course: Wireless Communications Systems 88-563 Winter 2007 Semester Instructor:

most ad hoc networks are based on point-to-point communications. Sensor nodes are limited in power, computational capacities, and memory. Sensor nodes may not have global identification (ID) because of the large amount of overhead and large number of sensors. Transmission media based on RF circuit design  The uAMPS wireless sensor node uses a Bluetooth- compatible 2.4 GHz transceiver with an integrated frequency synthesizer.  The/


May 22, 2006 © Leszek T. Lilien 2006 Opportunistic Networks: Specialized Ad Hoc Networks for Emergency Response Applications Leszek Lilien WiSe Lab (Wireless.

Offloading computations to additional platforms Integrating independent sensing systems (enhancing their sensing capabilities) Integrating independent sensing systems (enhancing /Network Simulators  Collaborative Image Processing (*)  DENSe: a Development Environment for Networked Sensors  Incorporating Mobile-ware in Distributed Computations / Grids (*)  Extending the ns-2 Simulator to Satellite and WCN Simulations  Smart Antennas for WCNs  Energy Efficient MAC Protocols for IEEE 802.11x  A Wireless/


LOW POWER FPGAS IN WIRELESS SENSOR NETWORKS PETER VOLGYESI RESEARCH SCIENTIST INSTITUTE FOR SOFTWARE INTEGRATED SYSTEMS VANDERBILT UNIVERSITY Low Power.

well with the number of channels Currently: FPGA-based 8 channel integrated board Multiple channels are processed at 1MSPS while the FPGA is running only @ 20MHz. Low Power FPGAs in Wireless Sensor Networks Peter Volgyesi, Vanderbilt University, ISIS SHOOTER LOCALIZATION Low Power FPGAs in Wireless Sensor Networks Peter Volgyesi, Vanderbilt University, ISIS BRIDGE MONITORING Acoustic emission sensors Detecting and localizing cracks in steel bridge elements On-demand inspection/


ELEG 454/654 Sensor and Data Wireless Networks Spring 2010.

–Data Gathering Processing Compression Fusion Architecture Today: Introduction to Sensor Networks Sensor networks. –Definition, motivation, examples Challenges. What are sensor networks? Networks of devices that are able to sense the environment, perform on-board computation, (and communicate) Why? Because we can: Technology –Circuit integration Ability to integrate more functions into chips with lower energy – Wireless communication Better communication theory Better devices Bit-rates are slowly/


Wireless Network vs. ASIC University of Tehran Department of Electrical and Computer Engineering ASIC Course – Spring 2006 Instructor: Dr. S. M. Fakhrai.

. Based on protocol specification, developed application and specific constraint design attributes change significantly Power Time Area Bandwidth Signal Integrity Codesign goals and objective should be satisfy protocol specification, application request and user constraints. ASIC Design and implementation References Papers [1]:”WiseNET: an ultralow-power wireless sensor network solution”; Enz, C.C.; El-Hoiydi, A.; Decotignie, J.-D.; Peiris, V.;Computer Volume 37, Issue 8/


Cognitive Wireless Networking Kang G. Shin Real-Time Computing Laboratory EECS Department The University of Michigan Ann Arbor, MI 48109-2121

Cognition Engine  Integration Architecture of Cognition Elements with Legacy Systems Cognition-based Network Design 8 Cognition Engine  Includes key elements in achieving awareness  Enables unified cognition for wireless networks Cognition Engine Enhanced /, regard it as abnormal and discard/penalize it in the final decision  Cross-checks the abnormality of neighboring sensors’ reports  C ORRELATION- B ASED F ILTER  Derive conditional pdf of neighbors’ sensing results 38 Performance Evaluation/


From Smart Dust to Reliable Networks

(5%) talk when you want to! Standard for early wireless sensor networks Fine for very light traffic (5%) Chaotic collapse above ~/integrity Checksum Encrypt in place Public Key Certification - Use Cases One supplier/integrator One supplier, separate integrator Multiple suppliers, one integrator Multiple suppliers, multiple integrators, multiple neighboring customers Building 2 HVAC network Security Network Fire network Tenant networks Building 1 HVAC network Security Network Fire network Tenant networks/


1 TinySec: A Link Layer Security Architecture for Wireless Sensor Networks Chris Karlof, Naveen Sastry, David Wagner Presented by Paul Ruggieri.

architecture for wireless sensor networks Link-layer security architecture for wireless sensor networks Why do we need TinySec? Sensor Networks need a way to communicate securely Sensor Networks need a way to communicate securely Wireless inherently insecure due to it’s broadcast nature Wireless inherently insecure due to it’s broadcast nature Existing secure protocols are too bloated for wireless sensor networks Existing secure protocols are too bloated for wireless sensor networks Sensor networks have/


DATA-LOGGING AND SUPERVISORY CONTROL IN WIRELESS SENSOR NETWORKS By Aditya N. Das, Dan O. Popa & Frank L. Lewis Automation & Robotics Research Institute,

 Also includes more advanced functions such as the frequency content of signals and order analysis  Can be integrated with the rest of the data logging application,  Also it can occur separately through stand-alone analysis software/ How a Smart Environment Can Use Perception”, UBICOMP 2001 Workshop on Perception for Ubiquitous Computing, Oct 2001 [7] Lewis F., “Wireless sensor networks: Smart environments- technologies, protocols, and applications”, ed. D. J. Cook and S. K. Das, John Wiley, New /


ELEG 467/667 Sensor Networks Spring 2006. Before anything happens Add / drop –Does anyone know of anyone who is dropping? –A few people can add! (Don’t.

–Data Gathering Processing Compression Fusion Architecture Today: Introduction Sensor networks. –Definition, motivation, examples Challenges. Architecture and design Issues. What are sensor networks? Networks of devices that are able to sense the environment, perform on-board computation, (and communicate) Why? Because we can: Technology –Circuit integration. Ability to integrate more functions into chip with lower energy – Wireless communication. Better communication theory Better devices Bit-rates are/


David E. Culler University of California, Berkeley

chain, work flow, … Opportunity: Extend reach and lower cost through wireless mesh networks Provide global visibility by bringing sensors to the IP Network and Web Information Enterprise Internet Continuous Visibility Ubiquitous Internet Industrial Operations CMOS radios GPRS WIFI IEEE 802.15.4 Micro- controllers 6B Sensors $46B WEI L11 eweb Integrating a World of Sensors Existing Sensors Trending Monitoring Data Analytics Management Ethernet WiFi GPRS RS232 RS485 Operations/


Wireless Sensor Networks (WSNs) & Supervisory Control and Data Acquisition (SCADA) Meet Project Management Sterling S. Rooke, Ph.D. Candidate.

API (American Petroleum Institute) to strengthen Hydro-fracking guidelines and regulations in the future, continuous and historical sensor data will be invaluable to operations. Future Research  IT Integration and Ubiquitous Computing in Civil Infrastructure Multi-dimensional communication through wireless sensor network for real-time data acquisition Flexible and scalable networking Portable, low-cost, and low-powered applications Asset tracking, condition health monitoring, and automation 40 Redundant/


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