TY - GEN
T1 - INSPIRE-DB
T2 - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010
AU - Iyer, Vasanth
AU - Iyengar, S. Sitharama
AU - Murthy, Garmiela Rama
AU - Srinathan, Kannan
AU - Phoha, Vir
AU - Srinivas, Mandalika B.
PY - 2010
Y1 - 2010
N2 - Sensor networks consist of small motes attached with sensors to measure ambient parameters like temperature, humidity and light. As these motes are unreliable due to wireless link quality and also the data measuring sensors cannot be calibrated accurately for a given applications need. The unique data fusion needs are that parameter being measured is distributed across the network and needs to be computed reliably and with minimum overhead and redundancy due to data value being correlated. We show the asymptotic complexity of topology control when applied to power-aware routing is scalable and argue that the accuracy and reliability of the estimated sensor values can be accurately predicted for the physical value being sensed and aggregating. A prefix-based routing protocol is used for data-centric storage, which allows querying distributed parameters using a KEY, VALUE pairs without the need of the sensor node to know its exact geographic information. Intelligent sensor information processing, which is driven by these requirements, is discussed under the framework INSPIRE-DB.
AB - Sensor networks consist of small motes attached with sensors to measure ambient parameters like temperature, humidity and light. As these motes are unreliable due to wireless link quality and also the data measuring sensors cannot be calibrated accurately for a given applications need. The unique data fusion needs are that parameter being measured is distributed across the network and needs to be computed reliably and with minimum overhead and redundancy due to data value being correlated. We show the asymptotic complexity of topology control when applied to power-aware routing is scalable and argue that the accuracy and reliability of the estimated sensor values can be accurately predicted for the physical value being sensed and aggregating. A prefix-based routing protocol is used for data-centric storage, which allows querying distributed parameters using a KEY, VALUE pairs without the need of the sensor node to know its exact geographic information. Intelligent sensor information processing, which is driven by these requirements, is discussed under the framework INSPIRE-DB.
KW - Cross-layer protocols
KW - Data-centric routing
KW - Distributed compressed sensing (DCS)
KW - Distributed hash table (DHT)
KW - Distributed source coding (DSC)
KW - Pre- and post processing of sensors
KW - Sensor fusion
UR - http://www.scopus.com/inward/record.url?scp=77957945973&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957945973&partnerID=8YFLogxK
U2 - 10.1109/SENSORCOMM.2010.113
DO - 10.1109/SENSORCOMM.2010.113
M3 - Conference contribution
AN - SCOPUS:77957945973
SN - 9780769540962
T3 - Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010
SP - 363
EP - 368
BT - Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010
Y2 - 18 July 2010 through 25 July 2010
ER -