TY - GEN
T1 - Sensorem-an efficient mobile platform for wireless sensor network visualisation
AU - Koh, Jin Ming
AU - Sak, Marcus
AU - Tan, Hwee Xian
AU - Liang, Huiguang
AU - Folianto, Fachmin
AU - Quek, Tony
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/5/13
Y1 - 2015/5/13
N2 - We design and implement an Android application, Sensorem, for efficient retrieval and visualization of wireless sensor network (WSN) data. In light of data distribution and visualization being important developmental keystones of smart cities, we seek to enhance sensor data accessibility by developing a user-friendly mobile application (Sensorem) for meaningful visualization of sensor data, targeted at maintenance personnel. Sensor selection can be made with reference to geographical location through an embedded Google Map fragment, as well as a sensor list with sensors in order of WSN node ID. Sensor data is presented through interactive graphs, and graph overlaying functions are offered for easy comparison of data trends. We also employ a Bayesian prefetch algorithm and caching mechanisms to minimize sensor data access latency, such that the app system is able to cope with network and back-end bottlenecks.
AB - We design and implement an Android application, Sensorem, for efficient retrieval and visualization of wireless sensor network (WSN) data. In light of data distribution and visualization being important developmental keystones of smart cities, we seek to enhance sensor data accessibility by developing a user-friendly mobile application (Sensorem) for meaningful visualization of sensor data, targeted at maintenance personnel. Sensor selection can be made with reference to geographical location through an embedded Google Map fragment, as well as a sensor list with sensors in order of WSN node ID. Sensor data is presented through interactive graphs, and graph overlaying functions are offered for easy comparison of data trends. We also employ a Bayesian prefetch algorithm and caching mechanisms to minimize sensor data access latency, such that the app system is able to cope with network and back-end bottlenecks.
UR - http://www.scopus.com/inward/record.url?scp=84933564053&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84933564053&partnerID=8YFLogxK
U2 - 10.1109/ISSNIP.2015.7106971
DO - 10.1109/ISSNIP.2015.7106971
M3 - Conference contribution
AN - SCOPUS:84933564053
T3 - 2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015
BT - 2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015
Y2 - 7 April 2015 through 9 April 2015
ER -