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RIP: Routing Information Protocol

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Distance-Vector Routing ProtocolsRouting Algorithms and Protocols→→EIGRP: Enhanced Interior Gateway Routing Protocol
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Core Idea

RIP (Routing Information Protocol) is a distance-vector interior gateway protocol using hop count as the metric, with a maximum of 15 hops (limiting scalability). RIPv1 sends classful updates via broadcast; RIPv2 supports CIDR and multicast updates. Routers exchange routing tables periodically, implementing the Bellman-Ford algorithm with slow convergence and high overhead.

How It's Best Learned

Deploy RIPv2 in a GNS3 lab and observe periodic updates (30-second intervals). Cause a topology change and measure convergence time. Monitor update traffic with Wireshark to understand message structure and timers.

Common Misconceptions

RIP converges very slowly due to counting to infinity; split-horizon and poison reverse partially mitigate this. Hop count is a poor metric, favoring paths through many low-capacity links over fewer high-capacity ones. RIP is rarely used in production; OSPF and BGP are preferred.

Explainer

From your study of distance-vector routing, you know the basic idea: each router maintains a table of destinations and costs, periodically shares that table with its neighbors, and updates its own routes when it learns of a shorter path. RIP is the simplest real-world implementation of this pattern — it takes the Bellman-Ford algorithm you've studied and runs it as a distributed protocol across a network of routers.

RIP uses hop count as its sole metric. Every link costs 1, regardless of bandwidth or latency. A destination three routers away has a cost of 3. The maximum hop count is 15; anything at 16 hops is considered unreachable. This hard ceiling means RIP cannot operate on networks with a diameter larger than 15 hops, which is why it is limited to small or medium-sized networks. Every 30 seconds, each RIP router broadcasts (RIPv1) or multicasts (RIPv2) its entire routing table to its neighbors. When a router receives an update, it adds 1 to each advertised hop count and checks whether the new path is shorter than what it currently has.

The critical weakness of RIP is slow convergence. When a link fails, the bad news propagates slowly because routers only exchange updates every 30 seconds, and the count-to-infinity problem can cause routers to keep incrementing a dead route's cost one hop at a time until it reaches 16. Several mechanisms partially address this: split horizon prevents a router from advertising a route back to the neighbor it learned it from; poison reverse actively advertises failed routes with a cost of 16; and triggered updates send immediate notifications when a route changes rather than waiting for the next 30-second cycle. Even with these fixes, convergence after a failure can take minutes.

RIPv2 improved on the original by adding support for CIDR (classless addressing) and subnet masks in route advertisements, authentication for security, and multicast delivery (224.0.0.9) instead of broadcast to reduce unnecessary processing on non-RIP devices. Despite these improvements, RIP's reliance on hop count as the only metric means it often chooses suboptimal paths — a route through five gigabit links looks worse than a route through four dial-up connections. This, combined with slow convergence and high bandwidth overhead from full table exchanges, is why modern networks overwhelmingly prefer link-state protocols like OSPF. Understanding RIP remains valuable, though, because it is the clearest illustration of how distance-vector theory translates into protocol mechanics.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Boolean Algebra → Boolean Type and Truth Values → Comparison Operators and Boolean Tests → Logical Operators and Boolean Algebra → Conditional Statements → Defining and Calling Functions → Functions: Decomposing Problems → Function Parameters and Argument Passing → Return Values → Variable Scope → Introduction to Classes → Objects and Instances → Methods and Attributes → Algorithm Design Basics → Tree Structure and Node Properties → Binary Trees → Tree Traversals → Depth-First Search (DFS) → Depth-First Search: Implementation and Applications → Topological Sort → Dynamic Programming → Longest Common Subsequence (LCS) Problem → Edit Distance: Levenshtein Distance and DP → 0/1 Knapsack Problem: Bounded Capacity DP → Greedy Algorithms → Activity Selection Problem Using Greedy Algorithms → Dijkstra's Algorithm → Floyd-Warshall Algorithm for All-Pairs Shortest Paths → Bellman-Ford Algorithm → Bellman-Ford Algorithm and Distance-Vector Routing → Distance-Vector Routing Protocols → RIP: Routing Information Protocol

Longest path: 100 steps · 607 total prerequisite topics

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