
Network_Layer
... path length we put weight for each link. This weight could be distance, cost… etc. or any number of them. See example Figure 5-7 page 353-354 (Tanenbaum) Flooding Routing: Packets are sent on every outgoing link. Problems: can send multiple unneeded packets. Packets may take loops. Solutions: ...
... path length we put weight for each link. This weight could be distance, cost… etc. or any number of them. See example Figure 5-7 page 353-354 (Tanenbaum) Flooding Routing: Packets are sent on every outgoing link. Problems: can send multiple unneeded packets. Packets may take loops. Solutions: ...
Lecture 6: Intra
... - Cost of link to each directly connected neighbor - Sequence number (SEQNO) - Time-to-live (TTL) for this packet ...
... - Cost of link to each directly connected neighbor - Sequence number (SEQNO) - Time-to-live (TTL) for this packet ...
CSE 461 - University of Washington
... • Each node floods out packets identifying its neighbors and the metrics for the link with each neighbor (its “link state”) • Nodes construct a map of network connectivity • Nodes calculate the shortest path to every possible destination (usually with Dijkstra’s algorithm) • These paths are put into ...
... • Each node floods out packets identifying its neighbors and the metrics for the link with each neighbor (its “link state”) • Nodes construct a map of network connectivity • Nodes calculate the shortest path to every possible destination (usually with Dijkstra’s algorithm) • These paths are put into ...
paper
... Figure 1: Example DFS tree and labeling. The graph shown is the NJ LATA network. An expanded version of node 7 is labeled with ancestor (A), descendant (D), and tree (T) markings. Link styles indicate their use in the access collection recovery protocol. The distribution portion of the routing is a ...
... Figure 1: Example DFS tree and labeling. The graph shown is the NJ LATA network. An expanded version of node 7 is labeled with ancestor (A), descendant (D), and tree (T) markings. Link styles indicate their use in the access collection recovery protocol. The distribution portion of the routing is a ...
Browsing around a digital library seminar
... probability of class given other attributes Not probability of the instances But: no closed-form solution for probabilities in nodes’ tables that maximize this However: can easily compute conditional probability of data based on given network Seems to work well when used for network scoring ...
... probability of class given other attributes Not probability of the instances But: no closed-form solution for probabilities in nodes’ tables that maximize this However: can easily compute conditional probability of data based on given network Seems to work well when used for network scoring ...
LSD1526 - A Distributed Three-hop Routing
... Hot spots: The mobile gateway nodes can easily become hot spots. The RTS-CTS random access, in which most traffic goes through the same gateway, and the flooding employed in mobile ad-hoc routing to discover routes may exacerbate the hot spot problem. In addition, mobile nodes only use the channel ...
... Hot spots: The mobile gateway nodes can easily become hot spots. The RTS-CTS random access, in which most traffic goes through the same gateway, and the flooding employed in mobile ad-hoc routing to discover routes may exacerbate the hot spot problem. In addition, mobile nodes only use the channel ...
Node Localization in Sensor Networks
... • QoS routing – latency is important => shortest path • Energy aware routing – longer paths are ok => avoid nodes with less energy ...
... • QoS routing – latency is important => shortest path • Energy aware routing – longer paths are ok => avoid nodes with less energy ...
ppt - Iowa State University
... The back-off interval is based on the packet length and traffic class For flow i, BIi proportional to: 1. The weight (higher for higher throughput classes) 2. The packet length 3. A scaling factor (to min the probability of collisions in case different stations have same back off interval) ...
... The back-off interval is based on the packet length and traffic class For flow i, BIi proportional to: 1. The weight (higher for higher throughput classes) 2. The packet length 3. A scaling factor (to min the probability of collisions in case different stations have same back off interval) ...
Link-State Routing Reading: Sections 4.2 and 4.3.4
... – All nodes have the same link-state database – All nodes forward packets on shortest paths – The next router on the path forwards to the next hop ...
... – All nodes have the same link-state database – All nodes forward packets on shortest paths – The next router on the path forwards to the next hop ...
CS335 Networking & Network Administration
... Dijkstra’s algorithm used to find the shortest path from a source to other nodes Uses weights on edges* as a measure of distance Path with fewest number of edges may not be the path with the least weight * edges are connections between nodes * weights are assigned non-negative values ...
... Dijkstra’s algorithm used to find the shortest path from a source to other nodes Uses weights on edges* as a measure of distance Path with fewest number of edges may not be the path with the least weight * edges are connections between nodes * weights are assigned non-negative values ...
28-roundup
... • Otherwise, abort immediately, perform “exponential back off” and send packet again. – Start to send at a random time picked from an interval – Length of the interval increases with every ...
... • Otherwise, abort immediately, perform “exponential back off” and send packet again. – Start to send at a random time picked from an interval – Length of the interval increases with every ...
The Network Layer
... • The graph-theoretic routing problem – Given a graph, with vertices (switches), edges (links), and edge costs (cost of sending on that link) – Find the least cost path between any two nodes • Path cost = (cost of edges in path) ...
... • The graph-theoretic routing problem – Given a graph, with vertices (switches), edges (links), and edge costs (cost of sending on that link) – Find the least cost path between any two nodes • Path cost = (cost of edges in path) ...
Max Weight Learning Algorithms for Scheduling in Unknown
... without knowledge of the probability distributions for the channels or packet arrivals [4]. An example of Special Case 2 is the same system with the additional assumption that there is a cost to measuring channels at the beginning of each slot. In this example, we have the option of either measuring ...
... without knowledge of the probability distributions for the channels or packet arrivals [4]. An example of Special Case 2 is the same system with the additional assumption that there is a cost to measuring channels at the beginning of each slot. In this example, we have the option of either measuring ...
ppt - The Fengs
... NL: Step 2 A Link-state routing algorithm Dijkstra’s algorithm • all link costs on the network are known • all nodes have same info • computes least cost paths from one node (‘source”) to all other nodes – gives routing table for that node • iterative: after k iterations, know least cost path to k ...
... NL: Step 2 A Link-state routing algorithm Dijkstra’s algorithm • all link costs on the network are known • all nodes have same info • computes least cost paths from one node (‘source”) to all other nodes – gives routing table for that node • iterative: after k iterations, know least cost path to k ...