The document discusses the need for middleware in wireless sensor networks. It describes some of the challenges in designing middleware for sensor networks, including limited resources, scalability, and heterogeneity. It then summarizes several approaches to sensor network middleware, including virtual machine approaches, modular programming approaches, database approaches, and message-oriented middleware.
Introduction
Background
WSN Design Issues: MAC Protocols, Routing Protocols, Transport Protocols
Performance Modeling of WSNs: Performance Metrics, Basic Models, Network Models
Case Study: Simple Computation of the System Life Span
Practical Example.
Introduction
Background
WSN Design Issues: MAC Protocols, Routing Protocols, Transport Protocols
Performance Modeling of WSNs: Performance Metrics, Basic Models, Network Models
Case Study: Simple Computation of the System Life Span
Practical Example.
Design Issues and Challenges in Wireless Sensor NetworksKhushbooGupta145
Wireless Sensor Networks (WSNs) are composed self-organized wireless ad hoc networks which comprise of a large number of resource constrained sensor nodes. The major areas of research in WSN is going on hardware, and operating system of WSN, deployment, architecture, localization, synchronization, programming models, data aggregation and dissemination, database querying, architecture, middleware, quality of service and security. This paper study highlights ongoing research activities and issues that affect the design and performance of Wireless Sensor Network.
Medium Access Control :-
1.Distributed Operation
2.Synchronization
3.Hidden Terminals
4.Exposed terminals
5.Throughput
6.Access delay
7.Fairness
8.Real-time Traffic support
9.Resource reservation
10.Ability to measure resource availability
11.Capability for power control
Adaptive rate control
Use of directional antennas
Layer between OS and distributed applications,Hides complexity and heterogeneity of distributed system ,Bridges gap between low-level OS communications and programming language abstractions,Provides common programming abstraction and infrastructure for distributed applications.
Design Issues and Challenges in Wireless Sensor NetworksKhushbooGupta145
Wireless Sensor Networks (WSNs) are composed self-organized wireless ad hoc networks which comprise of a large number of resource constrained sensor nodes. The major areas of research in WSN is going on hardware, and operating system of WSN, deployment, architecture, localization, synchronization, programming models, data aggregation and dissemination, database querying, architecture, middleware, quality of service and security. This paper study highlights ongoing research activities and issues that affect the design and performance of Wireless Sensor Network.
Medium Access Control :-
1.Distributed Operation
2.Synchronization
3.Hidden Terminals
4.Exposed terminals
5.Throughput
6.Access delay
7.Fairness
8.Real-time Traffic support
9.Resource reservation
10.Ability to measure resource availability
11.Capability for power control
Adaptive rate control
Use of directional antennas
Layer between OS and distributed applications,Hides complexity and heterogeneity of distributed system ,Bridges gap between low-level OS communications and programming language abstractions,Provides common programming abstraction and infrastructure for distributed applications.
Middleware and Middleware in distributed applicationRishikese MR
The seminar discuss about the common middleware concept and middleware in distributed applications .Also we discuss about 4 different types of middleware. MOM( Message oriented Middleware), ORB (object request broker), TP Monitors, Request procedure calls RPC.
The slide also gives the advantages and disadvantages of each.
Even though the U.S. Department of Defense budget is shrinking and the country's military footprint worldwide is receding the need for the warfighter to have accurate and actionable intelligence has never been more critical. Data from Intelligence, Surveillance, and Reconnaissance (C4ISR) systems such as radar, image processing payloads on Unmanned Aerial Vehicles, and more will be used and fused together to provide commanders with real-time situational awareness. Each system will also need to embrace open architectures and the latest commercial standards to meet the DoD's performance, size, and cost requirements. This e-cast will discuss how embedded defense suppliers are meeting these challenges.
MOM provides a clean method of communication between disparate software applications and emerged as a approach that distributed enterprise systems are built
The document is for beginners who are going to make their careers in Middleware technologies. It will provide the information regarding implementation of integration before EAI and what were the disadvantages which are overcome by EAI.
A Survey on Security Issues to Detect Wormhole Attack in Wireless Sensor Networkpijans
Sensor nodes, when deployed to form Wireless sensor network operating under control of central authority
i.e. Base station are capable of exhibiting interesting applications due to their ability to be deployed
ubiquitously in hostile & pervasive environments. But due to same reason security is becoming a major
concern for these networks. Wireless sensor networks are vulnerable against various types of external and
internal attacks being limited by computation resources, smaller memory capacity, limited battery life,
processing power & lack of tamper resistant packaging. This survey paper is an attempt to analyze threats
to Wireless sensor networks and to report various research efforts in studying variety of routing attacks
which target the network layer. Particularly devastating attack is Wormhole attack- a Denial of Service
attack, where attackers create a low-latency link between two points in the network. With focus on survey of
existing methods of detecting Wormhole attacks, researchers are in process to identify and demarcate the
key research challenges for detection of Wormhole attacks in network layer.
Wireless sensor network plays vital role in today’s life, it is a collection of sensors that are scattered in different directions which are further used to control and measure the physical conditions of environment as well as to organize to the data somewhere at centre location. As in context of greenhouse we can measure various parameters such as temperature, humidity, water level, insect monitoring and light intensity.
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.
In this thesis work, firstly an attempt have been made to evaluate the performance of DSR and OLSR routing protocol in mobile and static environments using Random Waypoint model, and also investigate how well these selected protocols performs on WSNs. energy efficient routing in wireless sensor networks thesis
The development of the wireless sensor networks (WSNs) in various applications like Defense, Health,
Environment monitoring, Industry etc. always attract many researchers in this field. WSN is the network
which consists of collection of tiny devices called sensor nodes. Sensor node typically combines wireless
radio transmitter-receiver and limited energy, restricted computational processing capacity and
communication band width. These sensor node sense some physical phenomenon using different
transduces. The current improvement in sensor technology has made possible WSNs that have wide and
varied applications. While selecting the right sensor for application a number of characteristics are
important. This paper provides the basics of WSNs including the node characteristics. It also throws light
on the different routing protocols.
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.
Wireless Sensor Network Simulators: A Survey and ComparisonsCSCJournals
Simulation tools for wireless sensor networks are increasingly being used to study sensor webs and to test new applications and protocols in this evolving research field. There is always an overriding concern when using simulation that the results may not reflect accurate behavior. It is therefore essential to know the strengths and weaknesses of these simulators. This paper provides a comprehensive survey and comparisons of various popular sensor network simulators with a view to help researchers choose the best simulator available for a particular application environment. It also provides a detailed comparison describing the pros and cons of each simulator.
DESIGN ISSUES ON SOFTWARE ASPECTS AND SIMULATION TOOLS FOR WIRELESS SENSOR NE...IJNSA Journal
In this paper, various existing simulation environments for general purpose and specific purpose WSNs are discussed. The features of number of different sensor network simulators and operating systems are compared. We have presented an overview of the most commonly used operating systems that can be used in different approaches to address the common problems of WSNs. For different simulation environments there are different layer, components and protocols implemented so that it is difficult to compare them. When same protocol is simulated using two different simulators still each protocol implementation differs, since their functionality is exactly not the same. Selection of simulator is purely based on the application, since each simulator has a varied range of performance depending on application.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
middleware
1. RESEARCH ON MIDDLEWARE APPLICATION TO SUPPORT WSN Submitted by D.Rajeswari IIIMCA Under the guidance of Vanithasidambaranathan M.Phil.,P.hd., Assistant professor
2. Agenda 1. Wireless Sensor Network 1.1 Introduction 1.2 Application Examples 1.3 Sensor Network Architecture 1.4 sensor node view 1.5 Sensor Network's Features 2. Middleware for Sensor Network. 2.1 Why do we need Middleware for SN? 2.2 Challenges in designing middleware. 2.3 Middleware approaches for SN. 3. Conclusion 4. References
3.
4. Agenda 1. Wireless Sensor Network 1.1 Introduction 1.2 Application Examples 1.3 Sensor Network Architecture 1.4 sensor node view 1.5 Sensor Network's Features 2. Middleware for Sensor Network. 2.1 Why do we need Middleware for SN? 2.2 Challenges in designing middleware. 2.3 Middleware approaches for SN. 3. Conclusion 4. References
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7. Agenda 1 . Wireless Sensor Network 1.1 Introduction 1.2 Application Examples 1.3 Sensor Network Architecture 1.4 sensor node - hardware 1.5 Sensor Network's Features 2. Middleware for Sensor Network. 2.1 Why do we need Middleware for SN? 2.2 Challenges in designing middleware. 2.3 Middleware approaches for SN. 3. Conclusion 4. References
9. Agenda 1. Introduction of Sensor Network 1.1 Application Examples 1.2 Sensor Network Architecture 1.3 Sensor node -hardware 1.4 Sensor Network's Features 2. Middleware for Sensor Network. 2.1 Why do we need Middleware for SN? 2.2 Challenges in designing middleware. 2.3 Middleware approaches for SN. 3. Conclusion 4. References
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11. Agenda 1. Introduction of Sensor Network 1.1 Application Examples 1.2 Sensor Network Architecture 1.3 Hardware and Software 1.4 Sensor Network's Features 2. Middleware for Sensor Network. 2.1 Why do we need Middleware for SN? 2.2 Challenges in designing middleware. 2.3 Middleware approaches for SN. 3. Conclusion 4. References
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14. Agenda 1. Introduction of Sensor Network 1.1 Application Examples 1.2 Sensor Network Architecture 1.3 Hardware and Software 1.4 Sensor Network's Features 2. Middleware for Sensor Network. 2.1 Why do we need Middleware for SN? 2.2 Challenges in designing middleware. 2.3 Middleware approaches for SN. 3. Conclusion 4. References
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17. Agenda 1. Introduction of Sensor Network 1.1 Application Examples 1.2 Sensor Network Architecture 1.3 Hardware and Software 1.4 Sensor Network's Features 2. Middleware for Sensor Network. 2.1 Why do we need Middleware for SN? 2.2 Challenges in designing middleware. 2.3 Middleware approaches for SN. 3. Conclusion 4. References
