RG-EDF: An I/O Scheduling Policy for Flash Equipped Sensor Devices
SEUS '08 Proceedings of the 6th IFIP WG 10.2 international workshop on Software Technologies for Embedded and Ubiquitous Systems
Accurate, fast fall detection using posture and context information
Proceedings of the 6th ACM conference on Embedded network sensor systems
Resource aware programming in the Pixie OS
Proceedings of the 6th ACM conference on Embedded network sensor systems
Design, implementation, and evaluation of EnviroMic: A storage-centric audio sensor network
ACM Transactions on Sensor Networks (TOSN)
SolarStore: enhancing data reliability in solar-powered storage-centric sensor networks
Proceedings of the 7th international conference on Mobile systems, applications, and services
VStore: towards cooperative storage in vehicular sensor networks for mobile surveillance
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
IDEA: integrated distributed energy awareness for wireless sensor networks
Proceedings of the 8th international conference on Mobile systems, applications, and services
A new paradigm for urban surveillance with vehicular sensor networks
Computer Communications
Data caching-based query processing in multi-sink wireless sensor networks
International Journal of Sensor Networks
Low power or high performance? a tradeoff whose time has come (and nearly gone)
EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
Audio-on-demand over wireless sensor networks
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
Hi-index | 0.00 |
This paper presents EnviroMic, a novel distributed acoustic monitoring, storage, and trace retrieval system. Audio rep- resents one of the least exploited modalities in sensor net- works to date. The relatively high frequency and large size of audio traces motivate distributed algorithms for coordi- nating recording tasks, reducing redundancy of data stored by nearby sensors, filtering out silence, and balancing stor- age utilization in the network. Applications of acoustic monitoring with EnviroMic range from the study of mating rituals and social behavior of animals in the wild to au- dio surveillance of military targets. EnviroMic is designed for disconnected operation, where the luxury of having a basestation cannot be assumed. We implement the system on a TinyOS-based platform and systematically evaluate its performance through both indoor testbed experiments and a preliminary outdoor deployment. Results demonstrate up to a 4-fold improvement in effective storage capacity of the network compared to uncoordinated recording.