A sensor node, also known as a mote (chiefly in North America), is a node in a sensor network that is capable of performing some processing, gathering sensory information and communicating with other connected nodes in the network. A mote is a node but a node is not always a mote.
A sensor node, also known as a mote (chiefly in North America), is a node in a sensor network that is capable of performing some processing, gathering sensory information and communicating with other connected nodes in the network. A mote is a node but a node is not always a mote.
INTRODUCTION TO WIRELESS SENSOR NETWORKS.
This powerpoint generally defines Wireless Sensor Networks, the advantages, disadvantages and the general types.
Advanced Software Engineering course - Guest Lecture
A4WSN- Architecture 4 Wireless Sensor Networks
This presentation has been developed in the context of the Advanced Software Engineering course at the DISIM Department of the University of L’Aquila (Italy).
http://www.ivanomalavolta.com
INTRODUCTION TO WIRELESS SENSOR NETWORKS.
This powerpoint generally defines Wireless Sensor Networks, the advantages, disadvantages and the general types.
Advanced Software Engineering course - Guest Lecture
A4WSN- Architecture 4 Wireless Sensor Networks
This presentation has been developed in the context of the Advanced Software Engineering course at the DISIM Department of the University of L’Aquila (Italy).
http://www.ivanomalavolta.com
it has a small description about how wireless sensor system network can be applied in various field. A application of leaksge detection is discussed in detail.
A wireless sensor network(WSN) is a wireless network that is designed using spatially distributed self –governing devices that uses sensors for monitoring physical or environmental conditions.
Wireless Sensor Networks are networks that consists of sensors which are distributed in an ad hoc manner.
These sensors work with each other to sense some physical phenomenon and then the information gathered is processed to get relevant results.Wireless sensor networks consists of protocols and algorithms with self-organizing capabilities
Wireless Sensor networks are dense networks, which consist of small low cost
sensors having severely constrained computational and energy resources, which operate in
an adhoc environment. Sensor network combines the aspects of distributed sensing,
computing and communication. Despite the numerous applications of sensor networks in
various fields there are various issues which need to be explored and resolved such as
resource constraints, routing, coverage, security, information collection and gathering etc.
In this paper we aim to provide the detailed overview of the wireless sensor technologies and
issues related to them, such as advancement of sensor technology, architecture, applications,
issues and the work done in the field of routing, coverage and security.
A wireless sensor network has important applications such as remote environmental monitoring and target tracking, particularly in recent years with the help of sensors that are smaller, cheaper, and intelligent. Sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. A WSN consists of a number of sensor nodes (few tens to thousands) working together to monitor a region to obtain data about the environment. The design of a WSN depends significantly on the application, and it must consider factors such as the environment, the applications design objectives, cost, hardware, and system constraints.
Current Activities in WSN: Developing test bed for target tracking Using Passive Infrared and Ultrasonic Sensors Improving the delivery rate in low power wireless networks .Guided Navigation of Friendly Vehicle towards tracked Object. Design and development of smart mines and explosive ordinance for intelligent activation and deactivation and safe recovery based on secure WSN. Design of a data mule for data collection from remotely placed sensor nodes
The course gives the thorough concepts of the wireless sensor networks, applications examples. It also gives detailed study of sensor node architecture and various protocols used in wireless sensor networks. It also covers issues related to topology, clustering ,synchronization and operating execution environment used for wireless sensor networks.
This Presentation is all about the Sensor Network that is how the Sensor via Wireless Network work, in the scenario where wired connection is not possible.
Wireless Sensor Networks UNIT-1
You can watch my lectures at:
Digital electronics playlist in my youtube channel:
https://www.youtube.com/channel/UC_fItK7wBO6zdWHVPIYV8dQ?view_as=subscriber
My Website : https://easyninspire.blogspot.com/
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
1. Introduction to Wireless Sensor
Networks (WSN)
By
Robin Abraham
Student ID : 03e7b98cf34511e9a8d69318b2d205c7
Course name: Academic Writing
Email: robymec@gmail.com
Subjective assignment 2
CC BY-SA-NC 1
2. Wireless Sensor Network
“A wireless sensor network (WSN) is a wireless
network consisting of spatially distributed
autonomous devices using sensors to
cooperatively monitor physical or
environmental conditions, such as
temperature, sound, vibration, pressure,
motion or pollutants, at different locations.”
- Wikipedia
CC BY-SA-NC 2
4. Parts of WSN
• sensor
– A transducer
– converts physical phenomenon e.g. heat, light, motion, vibration,
and sound into electrical signals
• sensor node
– basic unit in sensor network
– contains on-board sensors, processor, memory, transceiver, and
power supply
• sensor network
– consists of a large number of sensor nodes
– nodes deployed either inside or very close to the sensed
phenomenon
CC BY-SA-NC 4
5. Sensor Node Components
• Sensing Unit
• Processing Unit
• Transceiver Unit
• Power Unit
• Location Finding System (optional)
• Power Generator (optional)
• Mobilizer (optional)
CC BY-SA-NC 5
7. Low-power Embedded Processor
• Computational tasks on a WSN device
• Processing of both locally sensed information as
well as information communicated by other
sensors.
• Research and development have only an eight-bit
16-MHz processor
• Embedded operating systems, such as TinyOS.
• WSN devices may possess extremely powerful
embedded processors
• Efficient sleep modes and dynamic voltage scaling
to provide significant energy savings.CC BY-SA-NC 7
8. Memory/storage:
• Storage in the form of random access and read-only
memory.
• Includes both program memory (from which
instructions are executed by the processor), and
data memory (for storing raw and processed sensor
measurements and other local information).
CC BY-SA-NC 8
9. Radio Transceiver
• Include a low-rate, short-range wireless radio (10–
100 kbps, <100 m).
• Needed improvements in cost, spectral efficiency,
tunability, and immunity to noise, fading, and
interference.
• The radio must incorporate energy-efficient sleep
and wake-up modes.
CC BY-SA-NC 9
10. Sensors:
• Due to bandwidth and power constraints, WSN
devices primarily support only low-data-rate
sensing.
• Each device may have several sensors on board.
• Sensors used are highly dependent on the
application
• Include temperature sensors, light sensors,
humidity sensors, pressure sensors, accelerometers,
magnetometers, chemical sensors, acoustic sensors,
or even low-resolution imagers.
CC BY-SA-NC 10
11. Global positioning system(GPS)
• it is important for all sensor measurements to
be location stamped.
• Obtain positioning is to pre-configure sensor
locations at deployment, but this may only be
feasible in limited deployments.
• Network is deployed in an ad hoc manner, such
information is most easily obtained via satellite-
based GPS.
CC BY-SA-NC 11
12. Power source
• For flexible deployment the WSN device is
likely to be battery powered (e.g. using Li MH
AA batteries).
• The finite battery energy is likely to be the
most critical resource bottleneck in most WSN
applications.
CC BY-SA-NC 12
13. Applications of Wireless Sensor Networks
1. Ecological habitat monitoring
2. Military surveillance and target tracking
3. Structural and seismic monitoring
4. Industrial and commercial networked sensing
CC BY-SA-NC 13
14. Key Design Challenges
• Energy Efficiency
• Responsiveness
• Robustness
• Self Configuration and Adaptation
• Scalability
• Heterogeneity
• Systematic design
• Privacy and security
CC BY-SA-NC 14
15. Conclusion
• WSNs provide a excellent information
infrastructure for the remote monitoring,
tracking and control of indoor and outdoor
environments, industrial plants, and other
applications.
• Development of more energy efficient
algorithms will result in increased application
areas of WSNs in real time.
CC BY-SA-NC 15
16. REFERENCES
1) Networking Wireless Sensors: Bhaskar Krismachari, Cambridge
University Press
2) Wireless Sensor Networks: An Information Processing Approach- by
Feng Zhao, Leonidas Guibas , Morgan Kaufmann Series in Networking
2004.
• FURTHER READING
• https://en.wikipedia.org › wiki › Wireless_sensor_network
• https://www.techopedia.com › definition › wireless-sensor-network-wsn
• https://onlinelibrary.wiley.com › doi
CC BY-SA-NC 16
17. Feedback of the Course
• “Academic writing” by UGC is one of the best
course in NPTEL (swayam)
• Even though the course is little vast ,there is
nothing to omit
• All modules including video sessions/webinars etc
are informative and explorative
• All Self assessment quizzes ,graded quizzes ,
assignments will gain knowledge in this area
• Thank you very much to team “Academic Writing”
,especially to Prof.Ajay Semalty for executing such
a wonderful course.
CC BY-SA-NC 17