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(1)

Wireless Sensor Networks for

Habitat Monitoring

Presented by: Presented by:- -Preeti Singh PGDCSA

(Dept of Phy. & Computer Sci.

Science faculty )

(2)

Introduction

Š Habitat and environmental monitoring represent a

class of sensor network applications.

Š Instrumenting natural spaces with numerous

networked microsensors that enable long-term data collection.

Š The integration of local processing and storage

allows sensor nodes to perform complex filtering and triggering functions, as well as application-specific or sensor-application-specific data compression algorithms.

(3)

Cont.

Š They are able to communicate information and

control across the network of nodes.

Š That enables nodes to cooperate in performing

more complex tasks, like statistical sampling, data aggregation, and system health and status monitoring.

Š There is great impact of sensor networks for

habitat and environmental monitoring in developing new applications and producing new results.

(4)

Habitat Monitoring

Š Researchers in the life sciences are concerned

about the potential impacts of human presence in monitoring plants and animals in field conditions.

Š It is possible that chronic human disturbance may

distort results by changing behavioral patterns or distributions and,

Š Can seriously reduce or even destroy sensitive

populations by increasing stress, reducing breeding success, increasing predation, or causing a shift to unsuitable habitats.

(5)

Cont.

Š Sensor networks represent a significant advance

over traditional invasive methods of monitoring.

Š Sensor network deployment represent a

substantially more economical method for

conducting long-term studies than traditional personnel-rich method.

(6)

Network Requirements

1. Internet Access. 2. Hierarchical Network. 3. Operating Off-the-grid. 4. Management At-a-distance. 5. Inconspicuous Operation. 6. System Behavior. 7. In-situ Interactions.

8. Sensors and Sampling.

(7)

Internet Access

Š The sensor networks is accessible via the

internet.

Š An essential aspect of habitat monitoring

applications is to support remote interactions with in-situ networks.

(8)

Hierarchical Network

• To host internet connectivity and database systems, The field station needs sufficient resources .

• A wireless sensor networking provides connectivity to multiple patches of sensor networks deployed at each of the areas of interest.

(9)

Operating Off-the-grid

Š Every level of the network must operate with

bounded energy supplies.

Š Although renewable energy, for example solar

power, may be available at some locations, to run many elements of the application 24x7 with low

probabilities of service interruptions due to power loss.

(10)

Management At-a-distance

Š The remoteness of the field sites requires the

ability to monitor and manage sensor networks over the internet.

(11)

Inconspicuous Operation

Š Habitat monitoring infrastructure must be

inconspicuous.

Š It should not disrupt the natural processes or

(12)

System Behavior

Š From both a systems and end-user perspective, it

is critical that sensor networks exhibit stable, predictable, and repeatable behavior whenever possible.

Š More importantly,predictability is essential in

developing trust in these new technologies for life scientists.

(13)

In-situ Interactions

Š The majority of interactions with the sensor

networks are expected to be via the internet.

Š PDAs serve an important role in assisting with

these tasks. They directly query a sensor,

adjust operational parameters, or simply assist in locating devices.

(14)

Sensors and Sampling

Š The ability to sense light, temperature,

infrared, relative humidity, and barometric pressure provide an essential set of useful measurements.

Š The ability to sense additional phenomena, such

as acceleration/vibration, weight, chemical

vapors, gas concentrations, ph, and noise levels would augment them.

(15)

Data Archiving

Š Archiving sensor readings for of-line data

mining and analysis is essential.

Š The reliable offloading of sensor logs to

databases in the wired, powered infrastructure is an essential capability.

(16)

System Architecture for Habitat Monitoring

Internet Transit Network Sensor Patch Base-station Base-Remote Link Data Service Patch Network Gateway Sensor Node

(17)

System Architecture

Š The lowest level consists of the sensor nodes that

perform general purpose computing and networking in

addition to application-specific sensing. The sensor nodes may be deployed in dense patches that are widely

separated. The sensor nodes transmit their data through the sensor network to the sensor network gateway.

Š The gateway is responsible for transmitting sensor data

from the sensor patch through a local transit network to the remote base station that provides WAN connectivity and data logging.

(18)

System Architecture

Š The base station connects to database replicas across

the internet. Finally, the data is displayed to scientists through a user interface.

Š The lowest level of the sensing application is provided by

autonomous sensor nodes.

Š Each sensor node collects environmental data primarily

about its immediate surroundings. Because it is placed close to the phenomenon of interest

Š The sensors can often be built using small and

inexpensive individual sensors.This architecture provides higher robustness against occlusions and component

(19)

System Architecture

Š The computational module is a programmable unit

that provides computation, storage, and

bi-directional communication with other nodes in the system.

Š The computational module interfaces with the analog

and digital sensors on the sensor module, performs basic signal processing (e.g., Simple translations based on calibration data or threshold filters) , and dispatches the

(20)

System Architecture

Networked sensors offer two major advantages:

1. They can be retasked in the field .And,

2. They can easily communicate with the rest of the system.

(21)

System Architecture

Š Individual sensor nodes communicate and

coordinate with one another. The sensors will form a multihop network by forwarding each other’s messages, which vastly extends

connectivity options. the network can perform in-network aggregation (e.g., reporting the average temperature across a region).

Š This flexible communication structure allows us to

produce a network that delivers the required data while meeting the energy requirements.

(22)

System Architecture

Š Bringing direct wide area connectivity to each

sensor path is not feasible – so the wide area connectivity is brought to a base station.

Š The base station may communicate with the

sensor patch using a wireless local area network.

Š Each sensor patch is equipped with a gateway

which can communicate with the sensor network and provides connectivity to the transit network.

(23)

System Architecture

Š The transit network may consist of a single hop link

or a series of networked wireless nodes.

Š Each transit network design has different

characteristics with respect to expected

robustness, bandwidth, energy efficiency, cost, and manageability.

(24)

Implementation Strategies

Sensor network node

Š Sensor nodes are UC Berkeley motes.

Š The latest member of the mote family, called

mica ,uses a single channel, 916mhz radio from RF Monolithics to provide bi-directional

communication at 40kbps, an Atmel Atmega 103 micro controller running at 4mhz, and

considerable amount of nonvolatile storage (512 KB).

(25)

Mica Hardware Platform: The Mica sensor (left) with the Mica Weather Board

(26)

Sensor Board

Š The mica weather board provides sensors that

monitor changing environmental conditions with the same functionality as a traditional weather station.

Š The mica weather board includes temperature,

photo resistor, barometric pressure, humidity, and passive infrared (thermopile) sensors.

(27)

Š Another key aspect of choosing a sensor is its

startup time. The start up time is the time a sensor must be powered before its reading stabilizes.

Sensors with long start up times require current for a longer period of time, resulting in higher power

consumption.

Š Minimizing start up time yields more power per day

to perform other tasks, such as routing and

communication. Start up times for each sensor are listed in table.

(28)

Characteristics of Each Sensor

Included on the Mica Weather Board

Sensor Accuracy Interchangeability Sample Rates

Startup Current

Photo resistor I2C Temperature

Barometric Pressure

Barometric Pressure Temp Humidity Thermopile Thermistor N/A 1 K 1.5 mbar 0.8 K 2% 3 K 5 K 10% 0.20 K 0.5 % 0.24 K 3 % 5 % 10 % 2000 Hz 2 Hz 10 Hz 10 Hz 500 Hz 2000 Hz 2000 Hz 10 ms 500 ms 500 ms 500 ms 500 –30000 ms 200 ms 10 ms 1.235 mA 0.150 mA 0.010 mA 0.010 mA 0.755 mA 0.170 mA 0.126 mA

(29)

Š In addition to the sensors on the mica weather

board,it included an I2C analog to digital converter.

Separating the ADC from the main mica processing board provides greater flexibility in developing

components to reduce power consumption.

Š The ADC uses less power than the Atmel processor

on the mica, may be used in parallel with processing or radio transmission on the mica, and can be

(30)

Š The sensor board includes an I2C 8 x 8 power switch

permitting individual components on the board to be turned on or off.

Š Each switch can be operated independently of each

(31)

Power Required by Various Mica

Operations

Operation nAh

Transmitting a packet Receiving a packet

Radio listening for 1 millisecond

Operating sensor for 1 sample (analog) Operating sensor for 1 sample (digital) Reading a sample from the ADC

Flash Read Data

Flash Write/Erase Data

20.000 8.000 1.250 1.080 0.347 0.011 1.111 83.333

(32)

Sensor Deployment

Š To withstand the variable weather conditions the

sensor nodes are deployed in environmental protective packaging that minimally obstruct sensing

functionality.

Š The entire sensor package is coated within a 10 micron

parylene sealant, which protects exposed electrical contacts from water.

(33)

Sensor Deployment

Š The sensors remain exposed to protect their

sensitivity.

Š Each coated node is then enclosed in a transparent

acrylic enclosure. The enclosure is ventilated to not distort the sensor readings; Its primary function is to provide additional protection against mechanical failures and to raise the sensor off the ground.

Š Acrylic packaging was chosen because it is infrared

and radio frequency transparent, which won’t

(34)

Acrylic Enclosure Used for

Deploying the Mica Mote

(35)

Patch Gateways

Š Using different gateway nodes directly affects

the underlying transit network available. It can uses either of one out of two design:

1. An 802.11b single hop with an embedded Linux system , CerfCube, a small, Strong Arm-based embedded system, as the sensor patch gateway.

2. A single hop mote network. The mote-to-mote solution consisted of a mote-to-mote connected to the base station and a mote in the sensor patch. Both.

(36)

Š The differences between the mote and the

CerfCube include not only a different

communication frequency and power requirements, but also software components.

(37)

Base-station Installation

Š In order to provide remote access to the habitat

monitoring networks, the collection of sensor network patches is connected to the internet through a wide-area link.

Š The internet is connected through a two-way

satellite system.

Š The satellite system is connected to a laptop which

coordinates the sensor patches and provides a relational database service.

(38)

Database Management System

Š The base station uses Postgres SQL database.

Š The database stores time-stamped readings from

the sensors, health status of individual sensors, and metadata (e.g., Sensor locations) . The database is replicated every fifteen minutes over the wide-area satellite link to Postgres database in Berkeley.

(39)

Current Results

Thermopile data from a burrow mote during a 19-day period (July 18, 2002 to August 5, 2002).

(40)

Data Sampling and Collection

Š In habitat monitoring the ultimate goal is data

collection; Sampling rates and precision of measurements are often dictated by external specifications.

Š The sample is represented as a 16-bit integer, but it

contains a 10-bit ADC reading. Assuming that each packet can carry 25 bytes of payload, unprocessed

data requires between 72 (if 10-bit samples are used) and 116 packets (if 16-bit numbers are used).

(41)

Network Retasking

Š It is necessary to adjust the functionality of

individual nodes. This refinement can take several different forms.

Š Scalar parameters, like duty cycle or sampling rates,

may be adjusted through the application manager.

Š Even such simple adjustment allows the researchers

(42)

Health and Status Monitoring

Š A major component of use to the application is one

that monitors the mote’s health and the health of neighboring motes.

Š Health and monitoring is essential for a variety of

purposes; The most obvious is retasking. The duty cycle of a mote may be dynamically adjusted to alter its lifetime.

Š Adding voltage measurements has greatly assisted in

remote analysis of node failures.

Š Health and status messages sent to the gateway can

be used to infer the validity of the mote’s sensor readings.

(43)

Conclusion

Š Habitat and environmental monitoring represent an

important class of sensor network applications.

Š Because end users are ultimately interested in the

sensor data, the sensor network system must deliver the data of interest in a confidence-inspiring manner.

(44)

Acknowledgments

I would like to give thanks to

my teachers, parents , friends, & colleagues, who supported me a lot in presenting this paper.

I would also like to give thanks

DAYALBAGH EDUCATINAL INSTITUTE & UNIV. OF MARYLAND

(45)

References

Š Alan Main warning, Joseph Polastre, Robert Szewczyk, David Culler, John

Anderson.Wireless Sensor Networks for Habitat Monitoring at Great Duck Island (44.09N,68.15W) at Maine,WSNA’02,September

28,2002,Atlanta,Georgia,USA.

Š W. Ye, J. Heidemann, and D. Estrin. An energy-efficient Mac protocol for

wireless sensor networks. In Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2002), New York, NY, USA, June 2002.

Š Y. Xu, J. Heidemann, and D. Estrin.Geography-informed energy

conservation for ad hoc routing. In Proceedings of the ACM/IEEE International Conference on Mobile Computing and Networking, pages 70–84, Rome, Italy, July 2001.

References

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