lofar lagendoen

Information about lofar lagendoen

Published on January 11, 2008

Author: Bianca

Source: authorstream.com

Content

Slide1:  The 14th International Workshop on Parallel and Distributed Real-Time Systems April 25th, 2006 Island of Rhodes, Greece Koen Langendoen [email protected] Aline Baggio Otto Visser Experiences from a Pilot Deployment in Precision Agriculture Slide2:  The 14th International Workshop on Parallel and Distributed Real-Time Systems April 25th, 2006 Island of Rhodes, Greece Koen Langendoen Aline Baggio Otto Visser [email protected] Experiences from a Pilot Deployment in Precision Agriculture Murphy loves potatoes! Experiences from a Pilot Deployment in Precision Agriculture:  Murphy loves potatoes! Experiences from a Pilot Deployment in Precision Agriculture The 14th International Workshop on Parallel and Distributed Real-Time Systems Koen Langendoen Aline Baggio Otto Visser [email protected] April 25th, 2006 Island of Rhodes, Greece LOFAR-agro: precision agriculture with wireless sensors:  LOFAR-agro: precision agriculture with wireless sensors Control diseases in potato crops monitor microclimate (humidity) spray on demand (time + place) Pilot deployment 2005 partners: Wageningen, Delft, … HW: TNOdes + Sensirion (T, RH) SW: TinyOS (T-MAC + MintRoute) Research agenda:  Research agenda Precision agriculture microclimate variability? real-time decision support? Computer science (go live: simulation  demo  real) robust software? link-quality fluctuations? (impact on routing, localization) valid simulation models/scenarios? Equipment:  Equipment Hardware TNOdes + Sensirion home-made casing cost: € 250 / node Software (TinyOS) T-MAC MintRoute Deluge LOFAR app: T + RH sample / min, 1 packet / 10 min RSSI info: first-hop piggybacking, daily statistics Deployment setup:  Deployment setup Field layout 98 sensor nodes 10 forwarder nodes 1 gateway (TNOdes  WiFi) Localization by hand Deployment setup:  98 sensor nodes 10 forwarder nodes 1 gateway Deployment setup Murphy’s law: everything that can go wrong will go wrong:  Murphy’s law: everything that can go wrong will go wrong March 16th [Field test 1] Gateway casing does not fit melted DC/DC converter TNOdes’ antennas fall off incorrect wiring of Sensirion connector May 4th [Field test 2] untested T-MAC version (no development tree!) T-MAC loses sync (never use unsigned!) debugging nightmare (LEDs off, low data rate) Murphy’s law: everything that can go wrong will go wrong:  Murphy’s law: everything that can go wrong will go wrong June 1st [Start of Deployment] Journalist opens watertight casing unanticipated node mobility Power drain MintRoute fails (multi-hop in a single cell, cycles!, limited neighbor list) June 22nd [Restart Deployment] routing hacks for non-existent forwarders gateway loses power overnight spurious resets (lots!) Murphy’s law: everything that can go wrong will go wrong:  Murphy’s law: everything that can go wrong will go wrong July 1st [Network troubles] lease with telecom company expired (no notice) July 5th [Data rescue operation] [email protected] failed (1 min time-outs) cross-compiler left at home  July 18th [Install weather station] sysadmin wipes disk with driver code backup machine is password protected In hind-sight …:  In hind-sight … DOs cheat (BIG batteries, localization by hand) multiple persons per module log data (node, gateway, Delft) packet sniffer test (and again…) DON’Ts use a remote deployment site leap before you look (algorithms do not scale by nature) trust public-domain software trust your own (demo) software make ad-hoc decisions (time pressure) secure funding at deployment time collaborate long-distance Lessons:  Lessons Test, test, test 10 × 10 ≠ 100 (can’t approximate large systems) Design for the worst mobility, node failures (resets), high packet error rates, low data rate Specify semantics of interfaces MAC vs. Routing (energy savings vs. promiscuous mode, incompatible neighbor lists) Put statistics in from day 0 wireless core dump Conclusions:  Conclusions Limited success of pilot project lack of experience, time, resources very few quantitative results Valuable lessons be prepared software engineering! deployment scenario (node density, failure rates, etc.) Current/Future work:  Current/Future work Creating a testbed medium scale (>25 nodes, 5 office rooms) wired backbone network for debugging Improving software T-MAC’s power management Guesswork: probabilistic routing algorithm [Parker:2005] Try again 2006 deployment; starting in may Current/Future work:  Current/Future work Creating a testbed medium scale (>25 nodes, 5 office rooms) wired backbone network for debugging Improveing software T-MAC’s power management Guesswork: probabilistic routing algorithm [Parker:2005] Try again 2006 deployment; starting in may Murphy, we will be back!

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