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| Sandip Bapat, Vinodkrishnan Kulathumani, Anish Arora, "Analyzing the Yield of ExScal, a Large-Scale Wireless Sensor Network Experiment," 2012 20th IEEE International Conference on Network Protocols (ICNP), pp. 53-62, 13TH IEEE International Conference on Network Protocols (ICNP'05), 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/ICNP.2005.7, author = {Sandip Bapat and Vinodkrishnan Kulathumani and Anish Arora}, title = {Analyzing the Yield of ExScal, a Large-Scale Wireless Sensor Network Experiment}, journal ={2012 20th IEEE International Conference on Network Protocols (ICNP)}, volume = {0}, year = {2005}, isbn = {0-7695-2437-0}, pages = {53-62}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICNP.2005.7}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
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| TY - CONF JO - 2012 20th IEEE International Conference on Network Protocols (ICNP) TI - Analyzing the Yield of ExScal, a Large-Scale Wireless Sensor Network Experiment SN - 0-7695-2437-0 SP53 EP62 A1 - Sandip Bapat, A1 - Vinodkrishnan Kulathumani, A1 - Anish Arora, PY - 2005 KW - null VL - 0 JA - 2012 20th IEEE International Conference on Network Protocols (ICNP) ER - | |||
Recent experiments have taken steps towards realizing the vision of extremely large wireless sensor networks, the largest of these being ExScal, in which we deployed about 1200 nodes over a 1.3km by 300m open area. Such experiments remain especially challenging because of: (a) prior observations of failure of sensor network protocols to scale, due to network faults and their spatial and temporal variability, (b) complexity of protocol interaction, (c) lack of sufficient data about faults and variability, even at smaller scales, and (d) current inadequacy of simulation and analytical tools to predict sensor network protocol behavior.
In this paper, we present detailed data about faults, both anticipated and unanticipated, in ExScal. We also evaluate the impact of these faults on ExScal as well as the design principles that enabled it to satisfy its application requirements despite these faults. We describe the important lessons learnt from the ExScal experiment and suggest services and tools as a further aid to future large scale network deployments.
