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5/9/2015 Wireless Sensor Networks COE 499 Introduction to Sensor Networks Tarek Sheltami KFUPM CCSE COE

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Presentation on theme: "5/9/2015 Wireless Sensor Networks COE 499 Introduction to Sensor Networks Tarek Sheltami KFUPM CCSE COE"— Presentation transcript:

1 5/9/2015 Wireless Sensor Networks COE 499 Introduction to Sensor Networks Tarek Sheltami KFUPM CCSE COE

2 Outline Introduction Application Areas Systems Involved Communications Challenges in SNETs Unique constraints Power Issues 5/9/2015

3 Involved Technologies Computational Power Sensor Technology Network Technology Sensor Network

4 5/9/2015 Application Areas Military Infrastructure security Environment & Habitat Monitoring Healthcare Industrial Sensing Traffic Control Seismic Studies Life Sciences

5 5/9/2015 The Systems involved Sensor Node Internals Operating System Physical Size

6 5/9/2015 Sensor Node Internals SENSOR POWER SUPPLY CPU COMMUNICATION NODE INFRARED ACOUSTIC SEISMIC IMAGE MAGNETIC… ELECTRO-MAGNETIC INTERFACE Some Current Node Platforms: 1.Sensoria WINS 2.Smart Dust – Dust Inc. Berkeley 3.UC Berkeley mote – Crossbow (

7 5/9/2015 Operating System - TinyOSTinyOS Custom built at UC, Berkeley for wireless sensor nodes Component-based architecture: ensures minimum code size Component library includes:  Network protocols  Sensor drivers  Data acquisition tools  Distributed services

8 5/9/2015 Physical Size AWACS LWIM III AWAIRS I WINS NG 2.0 Berkley Motes

9 A Few Smart Sensor Implementations Tiny Heart Smart Its Project Capsule Endoscope Finger Tip Sensors JPL Sensor A Bee Tracker

10 Smart Sensor Example in Health Care Can be taken just like a capsule It moves through the intestinal track due to contraction and relaxation Excreted naturally and is disposed off Safe to the body Future: Remote control Pills and Micro-surgery Duodenal Bleeding

11 Sensor Network in Health Care.. In-Home Health Care Solution from Intel In-home technology prototypes illustrate how tiny silicon-based sensing devices discreetly embedded in objects such as shoes, furniture and home appliances It can make it possible for elders, Alzheimer's disease patients and others with disabling conditions to continue to live at home Intel and university researchers determined that wireless sensor networks, combined with powerful computing and complex algorithms, can effectively send prompts through various household devices to assist the elderly and inform, as well as ease the workload of caregivers. 5/9/2015

12 Biomimetics Living organisms use sensory abilities for all activities This is in spite of lot of noise in the environment The science of such sensory fusion is available in Biology Biomimetics – Mimic the available knowledge in Biology to design robust sensor fusion algorithms A few preliminary applications are shown below Electronic TongueElectronic Nose 5/9/2015

13 In-Home Health Care Solution from Intel Intel Research Seattle uses postage-sized wireless radio frequency identification (RFID) tags affixed to household objects To monitor and record the daily activities of an elder The tags wirelessly communicate the data back to a central system that could help manage everyday activities so that the elders' independence is maintained while relieving some of the burden of around-the-clock care by caregivers 5/9/2015

14 California Institute of Technology - MicroBat 5/9/2015

15 Water wheel at farm gate. Water level sensor. Solar panel. Cabinet with radio sender, micro processor and digital and analog I/O. 5/9/2015

16 Central Goulburn no. 2 channel. 5/9/2015

17 Mulwala canal. Largest irrigation channel in the southern hemisphere. 5/9/2015

18 Communication Network Protocol Network Discovery Network Control & Routing

19 5/9/2015 Network Protocol For wireless sensor networks: IEEE 802.11 standards Personal Area Networks (PAN): IEEE 802.15 standard  Radius of 5 to 10m  Ideal application in short-range sensors

20 5/9/2015 Network Discovery Knowledge of identity and location of its neighbor  Ad hoc protocols can be used  GPS system can be used as well

21 5/9/2015 Network Control & Routing Network adapts dynamically to  conserve resources like energy and available nodes  Make optimum use of bandwidth and processing power  Connectivity must emerge as needed from algorithms Directed Diffusion routing  Data identity is separate from node identity  Promotes adaptive, in-network processing

22 Sensors Passive elements: seismic, acoustic, infrared, strain, humidity, temperature, etc. Passive Arrays: imagers (visible, IR), biochemical Active sensors: radar, sonar High energy, in contrast to passive elements Technology trend: use of IC technology for increased robustness, lower cost, smaller size 5/9/2015

23 Event Driven Model 5/9/2015

24 On-Demand Model 5/9/2015

25 TinyOS is an open-source operating system designed for wireless embedded sensor networks. It features a component-based architecture which enables rapid innovation and implementation while minimizing code size as required by the severe memory constraints inherent in sensor networks. TinyOS's component library includes network protocols, distributed services, sensor drivers, and data acquisition tools – all of which can be used as-is or be further refined for a custom application. TinyOS's event-driven execution model enables fine-grained power management yet allows the scheduling flexibility made necessary by the unpredictable nature of wireless communication and physical world interfaces. TinyOS has been ported to over a dozen platforms and numerous sensor boards. A wide community uses it in simulation to develop and test various algorithms and protocols. New releases see over 10,000 downloads. Over 500 research groups and companies are using TinyOS on the Berkeley/Crossbow Motes. Numerous groups are actively contributing code to the sourceforge site and working together to establish standard, interoperable network services built from a base of direct experience and honed through competitive analysis in an open environment.

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