Subsystem Documentation
XSM - Board Layout and Schematics
Design of a Wireless Sensor Network Platform for Detecting Rare, Random, and Ephemeral Events Authored By Prabal Dutta, Mike Grimme, Anish Arora, Steven Bibyk, and David Culler on 01/30/2005 We present the design of the extreme Scale Mote, a new sensor network platform for reliably detecting and classifying, and quickly reporting, rare, random, and ephemeral events in a large scale, long-lived, and re-task-able manner. This new mote was designed for the ExScal project which seeks to demonstrate a 10,000 node network capable of discriminating civilians, soldiers and vehicles, spread out over a 10km2 area, with node lifetimes approaching 1,000 hours of continuous operation on two AA alkaline batteries. This application posed unique functional, usability, scalability, and robustness requirements which could not be met with existing hardware, and therefore motivated the design of a new platform. XSM600CB Xtreme Scale Mote (Bottom Side) Authored By Crossbow Technology on 08/27/2004 To appear in IPSN2005/SPOTS Track XSM600CB Xtreme Scale Mote (Top Side) Authored By Crossbow Technology on 08/27/2004 To appear in IPSN2005/SPOTS Track XSM100BC Xtreme Scale Mote (Bottom Side) Authored By Crossbow Technology on 06/10/2004 To appear in IPSN2005/SPOTS Track XSM100BC Xtreme Scale Mote (Top Side) Authored By Crossbow Technology on 06/10/2004 To appear in IPSN2005/SPOTS Track XSM600CA Xtreme Scale Mote Authored By Crossbow Technology on 05/14/2004 To appear in IPSN2005/SPOTS Track
Design of a Wireless Sensor Network Platform for Detecting Rare, Random, and Ephemeral Events
XSM600CB Xtreme Scale Mote (Bottom Side)
XSM600CB Xtreme Scale Mote (Top Side)
XSM100BC Xtreme Scale Mote (Bottom Side)
XSM100BC Xtreme Scale Mote (Top Side)
XSM600CA Xtreme Scale Mote
Tier 1
Acoustics
Acoustic Signal Processing at Tier 1 Acoustics Sensor Front-End Design Goals This document is intended to specify the desired operating characteristics of the acoustic front-end. It is in some since a wish-list as much as it is a requirements specification. We will endeavor to understand and accommodate the actual characteristics of the actual front-end. However, if the front-end, as build, substantially fails to achieve these goals it is likely that it will adversely affect the performance of the acoustic detector. MITRE Statement of Work Acoustic Subsystem for FY04 NEST Demo This document describes a research effort to be undertaken by MITRE in support of the DARPA NEST program. The result should allow NEST to utilize acoustic detection and signal processing on CrossBow Inc. motes in Demos held in April 2004, August 2004, and December of 2004.
Acoustic Signal Processing at Tier 1
Acoustics Sensor Front-End Design Goals
MITRE Statement of Work
Acoustic Subsystem for FY04 NEST Demo
Power Management
Battery comparison This graph depicts the gravimetric density of different battery types. Power Consumption Calculations This spreadsheet shows the expected power consumption and lifetime of the motes. Power consumption statistics Authored By Santosh Kumar This document contains information about the power consumption of different components of the mote. Power Management Implementation Authored By Santosh Kumar, Anish Arora, and Young-ri Choi, Mohamed Gouda This document describes the sleep modes of the motes, ways to minimize power consumption, and the Power Management Functionality in TinyOS among other topics.
Battery comparison
Power Consumption Calculations
Power consumption statistics
Power Management Implementation
Routing
Grid Routing Protocol Authored By Mohamed Gouda, Young-ri Choi, Anish Arora, and Vinayak Naik This document presents a routing protocol in sensor networks where wireless sensors in a network from a logical grid, build a spanning tree by exchanging messages between neighboring sensors and use the spanning tree to forward messages to a base station. This protocol is simple and inexpensive to maintain a spanning tree, and is reliable for random message loss and sensor failures. We use one type of sensor, called a mote, to design and implement this protocol. Reliable Bursty Convergecast in Wireless Sensor Networks Authored By Hongwei Zhang, Anish Arora,Young-ri Choi, Mohamed G. Gouda We address the challenges of bursty convergecast in multi-hop wireless sensor networks, where a large burst of packets from different locations needs to be transported reliably and in real-time to a base station. Via experiments on a 49 MICA2 mote sensor network using a realistic traffic trace, we determine the primary issues in bursty convergecast, and accordingly design a protocol, RBC (for Reliable Bursty Convergecast), to address these issues.
Grid Routing Protocol
Reliable Bursty Convergecast in Wireless Sensor Networks
Tier 2
ExScal Supernode Alternatives Authored By Hui Cao This spreadsheet lays out the advantages and disadvantages of candidates for the Tier 2 Nodes. The following are some of the candidates considered: iPAQs GNOMES Stargate BitsyX MANTIS Routing at Tier 2 Authored By Prasun Sinha and Anish Arora This presentation covers: Unicast routing Preliminary experimental results Broadcast routing ns2 simulation results Single Packet Broadcast Preliminary experimental results
ExScal Supernode Alternatives
Routing at Tier 2
Topology
Report on Mark Placement for Node Deployment Authored By N.W.J. Hazelton on 12/05/2004 The experiments being conducted require the placement of equipment around a site in specific locations. One of the problems with deploying a large number of sensors in a specific array is that of determining the correct location of each sensor. A rectangular array of points was placed in the field in Florida to permit sensor location. Points were placed on a 45 meter square grid, and additional points were placed every 9 meters along various rows by measuring with a marked rope between the previously marked points. Deterministic vs. Random Deployment Authored By Santosh Kumar In this short memo, we compare the node requirements to cover one chapter. In the deterministic deployment, we need 100 sensors to cover an area of 180mX36m. Topology-2004-08030-Checkpoint Authored By Santosh Kumar and Anish Arora This document describes the topology that will be used for the August 30 demo of the Extreme Scaling Project to be held at the OSU airport. The topology is meant to test a common configuration of the final demo with limited number of XSM motes we have available. Topology-Clean-Point-Final Authored By Santosh Kumar and Anish Arora This document describes the topology used in the Clean Point demo of the Extreme Scaling Project. This topology used 1267 XSM motes, 75 stargates with Mica2 attached, and 128 stargates without Mica2 (203 stargates in total). This topology is very similar to the topology described in the Original Topology document [1]. However, there are some differences as mentioned below:
Report on Mark Placement for Node Deployment
Deterministic vs. Random Deployment
Topology-2004-08030-Checkpoint
Topology-Clean-Point-Final
Testbed
Kansei (HTML) Authored By Vinayak Naik on 09/10/2004 The Kansei is a testbed of 200 motes hooked individually onto the 150 stargates connected using both wired and wireless ethernet. It provides a testbed infrastructure to conduct experiments for the 802.11b network. Currently, we using it to test the middleware services for the Tier-2 network for the Extreme Scale project funded by DARPA. OSU Testbed Topology Authored By Mukundan Sridharan and Anish Arora on 03/09/2004 This note describes a topology for deploying 116 XSM motes/Stargates for the Echelon Testbed. The requirement for the topology is to allow experiments of two specific Echelon configurations. A tier-1 configuration of 100 XSM mote standard horizontal chapter experiment. A tier-2 configuration of 116 Stargate experiment. The Testbed topology is made of smaller table units.
Kansei
OSU Testbed Topology
Tier 3
Visualization
Note: There are not any documents in this chapter
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