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Published byLogan Norman Modified over 8 years ago
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Grid: Scalable Ad-Hoc Wireless Networking Douglas De Couto http://pdos.lcs.mit.edu/grid
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Goal: Networks out of Chaos AFDBECGJIH
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Ad hoc Applications Temporary, fast setup Emergencies & events Rooftop networks No wires, trenches, etc. Developing communities Cheap, incremental, automatic
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Direct Contact Scales Badly AFDBECGJIH “Hello J!”
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Solution: Multi-hop Forwarding AFDBECGJIH “A to J: Hello!”
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Design Challenges Finding routes Cope with mobile nodes Conserving battery power Coping with malicious/faulty nodes Scaling to large networks
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Completed Research Scalable routing: Geographic forwarding Distributed P2P location database Low-power forwarding Understanding capacity limits Avoiding malicious nodes Current research: link selection
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System Status Software distributions for Linux, BSD PC, iPaq Works with unmodified Internet software Two Grid nets deployed In-building network Rooftop network
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LCS Grid Net 5 5 5 5 5 5 5 555 5 6 6 6 6 6 6 17 static nodes on 5 th /6 th floors A dozen iPaq hand-helds wired gateway
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Roof-Top Grid Net LCS 5 4 3 1 2 6
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Geographic forwarding (GF) Packets addressed to id G,location G Next hop is chosen from neighbors to move packet geographically closer to destination location Per-node routing overhead constant as network size (nodes, area) grows Requires location service, which adds overhead A B C D F C’s radio range E G
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A E H G B D F C J I K L Each node has a few servers that know its location. 1. Node D sends location updates to its servers (B, H, K). 2. Node J sends a query for D to one of D’s close servers. “D?” Grid Location Service (GLS) overview
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level-0 level-1 level-2 level-3 All nodes agree on the global origin of the grid hierarchy GLS’s Spatial Hierarchy
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3 servers per node per level n s s s ss s s s s s is n’s successor in that square. (Successor is the node with “least ID greater than” n ) sibling level-0 squares sibling level-1 squares sibling level-2 squares
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Queries search for destination’s successors Each query step: visit n’s successor at increasing levels, until location server found n s s s s s s s s s3 x s2 s1 location query path
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Geographic forwarding is less fragile than source routing. DSR queries use too much b/w with > 300 nodes. Fraction of data packets delivered successfully Number of nodes DSR Grid GF + GLS performs well Biggest network simulated: 600 nodes, 2900x2900m (4-level grid hierarchy)
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GLS properties Spreads load evenly over all nodes Degrades gracefully as nodes fail Queries for nearby nodes stay local Per-node storage and communication costs grow slowly as the network size grows : O(log n), n nodes More details: Li et al, Mobicom 2000
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Does Grid Find Useful Paths? AFDBECGJIH
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Mistake: Shortest-Path Routes AFDBECGJIH A’s max range
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Link Quality Isn’t Bi-modal
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Route metrics How to select good routes? Compare metrics Good metric: expected total packet transmissions Want to mimimize Route metric = sum of link metrics Fight strong bias towards shortest paths While penalizing longer paths
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Obstacles to Better Routing Want to detect and avoid lossy links, but… Loss rate masked by 802.11 re-sends Changes quickly with time, motion
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How to find loss rate? Signal strength?
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Current Work Trying to directly measure loss rates Route broadcast packets Long time constants 802.11 protocol beacons? Requires driver integration
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Grid Summary Grid routing protocols are Self-configuring Easy to deploy Scalable http://www.pdos.lcs.mit.edu/grid
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End Of Talk Demo
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Application: Smart Devices Internet Access Point Print E-Mail Share Remote Control
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Application: Rooftop Nets Game server School/Homework Server Internet Access
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Application: Disaster Services Disaster may have damaged phone system &c Want to avoid N 2 plans for N services to communicate
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Topology Distribution Scales Badly 1. “C can reach A and B.” ABCDF 3. Data from F to B. 2. “D can reach A, B, and C.” G
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Geographic Forwarding Scales Well Longitude Latitude AFDBECG “Send towards lat G / lon G.”
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Location Database Longitude Latitude AFDBECG DB 1. “G is at lat G / lon G” 2. “Where is G?”
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Distributed Location Database Each node is DB for a few other nodes How to find a node’s location server(s)? Every node has an unchanging ID hash(ID) maps ID to position in unit square
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G’s Location Server is a Point G hash(G) = 0.1,0.9 x (0,0) H I
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Spatial Grid Hierarchy All nodes agree on the global origin of the Grid hierarchy
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Multiple Servers per Node G c ba
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Lookups Expand in Scope G c ba A ?
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Grid Protocol Overhead Grows Slowly Protocol packets include: Grid update, Grid query/reply. Number of nodes Protocol Overhead (packets per second)
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