routing - cuakhattab/files/courses/wsn/routing.pdf · link state routing • each node broadcast...
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ROUTING PROTOCOLSDr. Ahmed Khattab
EECE DepartmentCairo University
Fall 2012
ELC 659/ELC724
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Routing• Network-wide process the determine the end to end paths
that packets take from a source to a destination• Analogies:
• Travel from Cairo to Houston City (No direct flight)• Sending a postcard (has only sender and receiver addresses)
• Routing Protocol:• The algorithm that adaptively computes these paths (routing tables)
• Each packet has a field to indicate the distention ID (e.g. address, or prefix)
• Manual route configuration is unrealistic • Error-prone (human factor), slow, non-adaptive, ……
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Aspect of Routing• Measurement
• Determines the cost of links (distance, delay, energy, …)
• Protocol• How to distribute information (e.g., distance)
• Algorithm• How to calculate the route (e.g., shortest path, least cost, min energy)
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Routing Requirements• Given:
• Network Graph: G = (V, E)• Each edge e in E has a cost
• Required:• Fast lookups (i.e., small tables)
• Minimal control messages
• Robust (avoid loops, oscillations)
• Use optimal paths (based on a target cost function)
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Basic Routing Approaches• Link State
• Computes shortest distance path using global and complete knowledge about the network
• Distance Vector• Computes shortest paths in an iterative and distributed way
based only on the knowledge of the distance to immediate nodes
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Link State Routing • Each node broadcast link state packets to all nodes in the
network (flooding)
• Each node collects all these packets • Hence, each node knows the entire topology
• Each node locally computes the shortest path itself• Dijkestra’s Algorithm
• Has a set P (permanent) of nodes which shortest path is known (have distance Da
x)• Add set T (temporary) that contains nodes directly reachable (1-hop) by P• Pick closest node(s) that minimize min (dij + Da
x) for all i in P and j in T and add it to P
• Repeat until P contains all nodes
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Node Neighbor Cost
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Distance Vector Routing (Bellman-Ford)
• Initialize distance vectors (DV)
• Exchange DV’s with nearest neighbors ONLY
• Update DV
• Go to step 2 unless convergence is reached
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Distance Vector Routing
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (New Node)
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (New Node)
Dr. Ahmed Khattab Fall 2012 12
Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (New Node)
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (New Node)
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (Broken Link)
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (Loops)
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (Loops)
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (Loops)
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Slide courtesy of Dr. Hongyi Wu.
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Distance Vector Routing (Count to infinity)
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Slide courtesy of Dr. Hongyi Wu.
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MANET Challenges• Lack of a centralized entity• Network topology changes frequently and unpredictably• Routing and Mobility Management• Channel access/Bandwidth availability• Hidden/Exposed station problem• Asymmetrical links• Power limitation
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MANET Routing Protocols
• Proactive Protocols• Table driven• Continuously evaluate
routes• Low latency in route
discovery• Large capacity to keep
network information current
• A lot of routing information may never be used!
• Reactive Protocols• On Demand• Route discovery by
some global search• Bottleneck due to
latency of route discovery
• May not be appropriate for realtimecommunication
• Scalability
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MANET Routing Protocols
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Slide courtesy of Dr. Hongyi Wu.
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Destination Sequence Distance Vector Routing• Keep the simplicity of Distance Vector
• Guarantee Loop Free• New Table Entry for Destination Sequence Number
• Allow fast reaction to topology changes• Make immediate route advertisement on significant changes in
routing table• but wait with advertising of unstable routes (damping fluctuations)
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DSDV• Advertise to each neighbor own routing information
• Destination Address• Metric = Number of Hops to Destination• Destination Sequence Number• Other info
• Rules to set sequence number information• On each advertisement, the node increases own destination
sequence number by 2 (use only even numbers)• If a node is no more reachable (timeout) increase sequence number
of this node by 1 (odd sequence number) and set metric = ∞.
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DSDV (no loops, no count to infinity)
Dr. Ahmed Khattab Fall 2012 25
Slide courtesy of Dr. Hongyi Wu.
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DSDV (no loops, no count to infinity)
Dr. Ahmed Khattab Fall 2012 26
Slide courtesy of Dr. Hongyi Wu.
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DSDV (no loops, no count to infinity)
Dr. Ahmed Khattab Fall 2012 27
Slide courtesy of Dr. Hongyi Wu.
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Dynamic Source Routing (DSR)• The nodes don’t maintain routing table
• When node S wants to send a packet to node D, but does not know a route to D, node S initiates a route discovery
• Source node S floods Route Request (RREQ)• Sender Address• Receiver Address• Request id, determined by sender• Each intermediate node appends own identifier when forwarding
RREQ
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Dynamic Source Routing (DSR)
Dr. Ahmed Khattab Fall 2012 29
Slide courtesy of Dr. Hongyi Wu.
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Dynamic Source Routing (DSR)
Dr. Ahmed Khattab Fall 2012 30
Slide courtesy of Dr. Hongyi Wu.
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Dynamic Source Routing (DSR)
Dr. Ahmed Khattab Fall 2012 31
Slide courtesy of Dr. Hongyi Wu.
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Dynamic Source Routing (DSR)
Dr. Ahmed Khattab Fall 2012 32
Slide courtesy of Dr. Hongyi Wu.
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Dynamic Source Routing (DSR)
Dr. Ahmed Khattab Fall 2012 33
Slide courtesy of Dr. Hongyi Wu.
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Dynamic Source Routing (DSR)
Dr. Ahmed Khattab Fall 2012 34
Slide courtesy of Dr. Hongyi Wu.
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Dynamic Source Routing (DSR)
Dr. Ahmed Khattab Fall 2012 35
Slide courtesy of Dr. Hongyi Wu.
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Dynamic Source Routing (DSR)
Dr. Ahmed Khattab Fall 2012 36
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 37
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 38
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 39
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 40
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 41
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 42
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 43
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 44
Slide courtesy of Dr. Hongyi Wu.
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Ad hoc On-demand DistanceVector (AODV)
Dr. Ahmed Khattab Fall 2012 45