Link State Routing Part-2
Duration: 8 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- About Course: About the Course
- Section A: General Awareness: Polity, वैज्ञानिक उपलब्धियाँ और अनुसंधान / Scientific Achievements and Research, Biology, Chemistry, Static General Knowledge, History, Geography, Indian Economy, समसामयिकी / Current Affairs, Evolution of Indian Banking (Banking & Financial Awareness), Environment
- Section A: General Intelligence & Reasoning ability: श्रेणी / Series, कूट लेखन एवं कूट वाचन / Coding-Decoding, Data Sufficiency, अशाब्दिक तर्क / Non-Verbal Reasoning, Analytical Reasoning (Counting Figures Reasoning), रक्त संबंध / Blood Relations, Syllogisms, कथन आधारित तार्किक विवेचन / Statement-Based Reasoning, बैठक व्यवस्था एवं पहेलियाँ / Seating Arrangement and Puzzles, दिशा एवं दूरी / Direction and Distance, गणितीय संक्रियाएँ एवं लुप्त संख्या / Mathematical Operations and Missing Numbers, कैलेंडर एवं घड़ी / Calendar and Clock, Clock, घन, पासा एवं आकृतियों की गिनती / Cubes, Dice and Figure Counting, आँकड़ों की पर्याप्तता एवं निर्णय क्षमता / Data Sufficiency and Decision Making, वर्णमाला एवं संख्या परीक्षण / Alphabet and Number Test, Crypt Arithmetic, वेन आरेख, न्याय वाक्य एवं असमानता / Venn Diagrams, Syllogism and Inequalities, Data Arrangement, Inequality, सादृश्यता एवं वर्गीकरण / Analogy and Classification, क्रम एवं रैंकिंग / Order and Ranking, TCS NQT Advanced Reasoning Ability
- Section A: Arithmetical & Numerical Ability: अनुपात और समानुपात / Ratio and Proportion, Divisibility Rules, आँकड़ा निर्वचन / Data Interpretation, मिश्रण और एलिगेशन / Mixture and Alligation, Permutation and Combination, Logarithm, संख्या पद्धति / Number System, महत्तम समापवर्तक और लघुत्तम समापवर्त्य / HCF and LCM, Sequence and Series (Series), समय, चाल और दूरी / Time, Speed and Distance, प्रतिशत / Percentage, औसत / Average, लाभ, हानि और बट्टा / Profit, Loss and Discount, साधारण और चक्रवृद्धि ब्याज / Simple and Compound Interest, समय और कार्य / Time and Work, Pipe and Cistern, घन क्षेत्रमिति / Solid Mensuration, सरलीकरण, घातांक और करणी / Simplification, Indices and Surds, Algebra, Probability, Mental Ability, Age Problems, Partnership, Statistics, Arithmetic, Speed Mathematics and Basic Mathematics, Miscellaneous
- Section A: English Language & Comprehension: Vocabulary, Subject Verb Agreement (Verb Noun Agreement), Adjectives, Verbs and Tenses, Reading Comprehension, Parts of Speech, Sentence Construction, Prepositions and Conjunctions, Direct and Indirect Speech, Sentence Completion (Fill in the blanks), Sentence Structure and Common Errors, Modals, Transformation of Sentences, Sentence Correction (Error Correction), Adverb, Conjunction, Cloze Test (Cloze Passage)
- Section A: Hindi Language & Comprehension: भाषा, लिपि और वर्ण, वर्तनी, वर्ण-विन्यास, अनुस्वार, अनुनासिक, चंद्रबिंदु और ‘र’ के रूप, शब्द, पद और शब्द-भेद, संज्ञा और सर्वनाम, पद-भेद और रूप-विकार, लिंग, वचन, पुरुष और कारक, काल, वाच्य, वाक्य और वाक्य-भेद, संधि, समास, विलोम शब्द, पर्यायवाची शब्द, सामान्य अशुद्धियाँ, अनेक शब्दों के लिए एक शब्द, शब्द-भंडार, अपठित बोध, Multi-Topic Content (Cross-Concept Material), वर्णमाला
- Section B: Programming, Data Structures, OOP & Java: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Java, OOPS with C++, Language Design, Intro to Compilers, Visual Basics, Syntax Analysis: Bottom-Up, Object Oriented Technology
- Section B: Computer Networks, TCP/IP & Network Security: Introduction to CN, Data Communication, DLL: Flow Control, DLL: Access Control, DLL: Error Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Access Technologies, Network Security, Society, Law & Ethics, Mobile Computing, Net Layer:Routing Protocol, Cyber Safety and Security
- Section B: Teaching Methodology: वृद्धि और विकास / Growth and Development, Concept of Pedagogy, विकास के सिद्धांत / Theories of Development, समावेशी शिक्षा / Inclusive Education, Experiential Pedagogy, आकलन और मूल्यांकन / Assessment and Evaluation, समाजीकरण और जेंडर / Socialisation and Gender, National Education Policy (NEP) 2020, संज्ञानात्मक प्रक्रियाएँ / Cognitive Processes, शिक्षण योजना और शिक्षण कौशल / Teaching Planning and Teaching Skills, Personality Development, शिक्षण विधियाँ / Teaching Methods, अधिगम और व्यवहारवादी सिद्धांत / Learning and Behavioural Theories, Learners & Learning Process, Factors Affecting Teaching, शिक्षण विधियाँ एवं उपागम / Teaching Methods and Approaches, शिक्षण-अधिगम प्रक्रिया एवं कक्षा प्रबंधन / Teaching-Learning Process and Classroom Management, शिक्षण सहायक सामग्री एवं शैक्षिक तकनीकी / Teaching Aids and Educational Technology, सूक्ष्म शिक्षण एवं कक्षा संप्रेषण / Microteaching and Classroom Communication, आकलन एवं मूल्यांकन / Assessment and Evaluation, पाठ्यचर्या, कला एवं सह-शैक्षिक क्षेत्र / Curriculum, Arts and Co-curricular Areas, दिव्यांग बच्चों की शिक्षा / Education of Children with Disabilities, शिक्षक: गुण, व्यावसायिक नैतिकता एवं विकास / Teacher: Qualities, Professional Ethics and Development
- Section B: Digital Electronics / Boolean Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Analog-Digital Conversion
- Section B: Operating Systems & Linux: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, File Management, Disc Scheduling, Unix OS, Linux OS, Distributed Systems, Windows OS
- Section B: Data Base Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, File Organization & Indexing, Transaction Management, Concurrency Control, Database Security & Authorization, Database Recovery, Data Warehousing & Mining
- Section B: Internet & Web Technologies: Website, Browser & Services, Internet Fundamentals, Web Design & Development, Protocols & Services, Web Publishing & Hosting, Server Side & Security, HTML Basics, CSS, Emerging Technologies, JavaScript-Basics, .Net Programming, Electronic Data Interchange and E-Commerce, XML
- Section B: Computer Fundamentals, IT Basics & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer, Terms & Abbreviations, MS Office Applications, Instr Formats & Modes, Floating Point Rep, कंप्यूटर के मूल सिद्धांत / Computer Fundamentals, साइबर सुरक्षा / Cyber Safety and Security, कंप्यूटर सॉफ़्टवेयर / Computer Software, ऑपरेटिंग सिस्टम / Operating System, वर्ड प्रोसेसिंग (MS Word) / Word Processing (MS Word), कंप्यूटर नेटवर्क / Computer Networks, प्रेज़ेंटेशन (MS PowerPoint) / Presentation Software (MS PowerPoint)
- Section B: Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
- Section B: Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, extras, Fundamentals of Systems and Information Systems
- Section B: Design & Analysis of Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
- Section B: Mathematics: Linear Algebra, Calculus, Trigonometry, Vectors, Set Theory, Functions, Relations, Propositional and Predicate Logic, Research Process Steps, Graph Theory, समुच्चय, संबंध, फलन और विविक्त गणित / Sets, Relations, Functions and Discrete Mathematics, संख्या पद्धति और संख्या सिद्धांत / Number Systems and Number Theory, यूक्लिडीय ज्यामिति और क्षेत्रमिति / Euclidean Geometry and Mensuration, सांख्यिकी और प्रायिकता / Statistics and Probability, निर्देशांक ज्यामिति, सदिश और त्रिविमीय ज्यामिति / Coordinate Geometry, Vectors and 3D Geometry, बहुपद, समीकरण और सम्मिश्र संख्याएँ / Polynomials, Equations and Complex Numbers, समतल क्षेत्रमिति / Plane Mensuration, प्रतिचयन / Sampling
- Section B: Computer Graphics, Multimedia & Mobile Computing: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing, Multimedia
- Section B: Emerging Trends: Emerging Tech Trends, Knowledge Representation, Natural Language Processing, व्यापार, विपणन एवं उपभोक्ता संरक्षण / Trade, Marketing and Consumer Protection
- DSSSB Previous Year Paper:
- Business Studies and Management: Business Communication, प्रबंध के सिद्धांत एवं कार्य / Principles and Functions of Management, लेखांकन के आधार एवं लेन-देनों का अभिलेखन / Accounting Fundamentals and Recording of Transactions, Business Economics, ह्रास, अंतिम खाते व कंप्यूटरीकृत लेखांकन / Depreciation, Final Accounts and Computerised Accounting, Knowledge Management & New Economy
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This lecture segment, titled Link State Routing Part-2, explains how routers build routing tables using link state protocols. The instructor presents a slide titled “Building Routing Tables” that lists four core actions: each node creates link state packets (LSPs) describing its links, disseminates those LSPs to all other routers through flooding, forms a shortest path tree for each node, and calculates the routing table from that tree. A network diagram with nodes A through G is used throughout, accompanied by per-node cost tables that are highlighted and circled in red to show the link state information each router collects. The lesson then transitions to Dijkstra’s algorithm, introduced as the method for forming the shortest path tree. A slide pairs “a. The weighted graph” with “b. Link state database,” showing how the network topology and cost matrix feed into the algorithm. The Dijkstra slide defines tentative and permanent sets, includes a legend distinguishing root node, nodes in path, nodes not yet in the path, potential paths, and final paths, and walks through an Initialization diagram followed by Iteration 1 through Iteration 6. Each iteration updates cumulative costs for nodes A–G, demonstrating how the algorithm progressively fixes shortest paths from a root node. The final portion revisits the Building Routing Tables slide with red underlines on “link state packet (LSP)” and “flooding, in an efficient and reliable way,” and a red X drawn over an edge to illustrate link state changes. The overall teaching flow moves from the high-level four-step process, to the data structures involved (LSPs and LSDB), to a concrete step-by-step Dijkstra execution on the example graph.
Chapters
0:00 – 2:00 00:00-02:00
The instructor introduces the slide “Building Routing Tables,” which lists four numbered actions for link state routing: creation of link state packets (LSPs) by each node, dissemination of LSPs to every other router via flooding, formation of a shortest path tree for each node, and calculation of the routing table from that tree. A network diagram with nodes A through G is displayed alongside per-node cost tables, and the instructor points to the term “link state packet” with a red arrow. The on-screen text includes phrases such as “Creation of the states of the links by each node, called the link state packet (LSP)” and “Dissemination of LSPs to every other router, called flooding,” establishing the foundational steps before moving into algorithm details.
2:00 – 5:00 02:00-05:00
The lecture shifts to the Dijkstra algorithm as the mechanism for forming shortest path trees. A slide titled “Formation of Shortest Path Tree: Dijkstra Algorithm” pairs “a. The weighted graph” with a “b. Link state database” table headed A B C D E F G, showing how the network’s weighted topology is represented as a cost matrix. The instructor gestures beside slides carrying red pen annotations, including red circles around several node cost tables on the network diagram. The Dijkstra slide states that “The Dijkstra algorithm creates a shortest path tree from a graph” and references tentative and permanent sets. A legend box defines “Root node,” “Node in path,” “Node not yet in the path,” “Potential path,” and “Path.” An Initialization diagram is shown, followed by panels labeled Iteration 1 through Iteration 6, each displaying nodes A–G with updated cumulative costs as the algorithm progresses.
5:00 – 7:53 05:00-07:53
The final segment revisits the “Building Routing Tables” slide, now with red underlines on “link state packet (LSP)” and “flooding, in an efficient and reliable way,” plus red arrows emphasizing these terms. The network diagram of nodes A–G appears again with small per-node tables, several circled in red, and a red X is drawn over an edge between nodes to illustrate how link state information changes when links fail or costs change. A second slide states the “link-state database (LSDB)” and shows a weighted graph labeled “a. The weighted graph” next to a cost matrix labeled “b. Link state database,” reinforcing the connection between the physical topology, the collected LSP data, and the input to Dijkstra’s algorithm. The on-screen text includes “KG KNOWLEDGE” branding and the phrase “GATE,” indicating an exam-preparation context.
The lecture builds a coherent progression from the abstract four-step link state routing process to a concrete algorithmic implementation. It begins by defining what each router must do: create LSPs, flood them to all other routers, compute a shortest path tree, and derive the routing table. The network diagram with nodes A–G serves as a consistent visual anchor, with per-node cost tables showing the distributed nature of link state information. The transition to Dijkstra’s algorithm is motivated by the need for a systematic way to form shortest path trees from the collected link state database. The algorithm is presented with clear terminology—tentative and permanent sets—and a visual legend that distinguishes different node states during execution. The step-by-step iterations (Initialization through Iteration 6) demonstrate how cumulative costs are updated and paths are finalized, providing a worked example that students can follow. The final return to the Building Routing Tables slide with red annotations ties the algorithm back to the original process, emphasizing that LSP creation and flooding are prerequisites for Dijkstra’s input. The red X over an edge highlights the dynamic aspect of link state routing: when topology changes, LSPs are updated and shortest path trees are recomputed. Overall, the segment emphasizes both the distributed data collection phase (LSPs and LSDB) and the local computation phase (Dijkstra), which are the two pillars of link state routing.