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RIP: Routing Information Protocol

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Distance-Vector Routing ProtocolsRouting Algorithms and ProtocolsEIGRP: Enhanced Interior Gateway Routing Protocol
routing distance-vector igp dynamic-routing

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 ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesBoolean AlgebraBoolean Type and Truth ValuesComparison Operators and Boolean TestsLogical Operators and Boolean AlgebraConditional StatementsDefining and Calling FunctionsFunctions: Decomposing ProblemsFunction Parameters and Argument PassingReturn ValuesVariable ScopeIntroduction to ClassesObjects and InstancesMethods and AttributesAlgorithm Design BasicsTree Structure and Node PropertiesBinary TreesTree TraversalsDepth-First Search (DFS)Depth-First Search: Implementation and ApplicationsTopological SortDynamic ProgrammingLongest Common Subsequence (LCS) ProblemEdit Distance: Levenshtein Distance and DP0/1 Knapsack Problem: Bounded Capacity DPGreedy AlgorithmsActivity Selection Problem Using Greedy AlgorithmsDijkstra's AlgorithmFloyd-Warshall Algorithm for All-Pairs Shortest PathsBellman-Ford AlgorithmBellman-Ford Algorithm and Distance-Vector RoutingDistance-Vector Routing ProtocolsRIP: Routing Information Protocol

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