Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Proceedings of the 7th annual international conference on Mobile computing and networking
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
IEEE Transactions on Mobile Computing
An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
On Distributed Fault-Tolerant Detection in Wireless Sensor Networks
IEEE Transactions on Computers
The Tenet architecture for tiered sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Reasoning support for risk prediction and prevention in independent living
Theory and Practice of Logic Programming
| Hi-index | 0.00 |
In response to the consistent increase of elder people living in their apartments, and the need for innovative non-obtrusive tools to connect elders to their caregivers, we started an initiative with the Institute of Gerontology at Wayne State University to explore the application of wireless sensor networks (WSNs) for the monitoring of elder people and the communication of potential emergency conditions to their remote caregivers. Motivated by the fact that sensor nodes are resource-constrained and error-prone on one hand, and mission urgency on the other hand, we argue that high availability is a vital requirement that viable WSNs for assisted living have to acquire. We propose the use of classical reliability theory techniques to tackle this issue in a systematic way. We develop analytical models of the WSN availability in terms of the availability of the underlying sensor nodes. These models help in planning for the required number of nodes and the way these nodes are scheduled ON and OFF Our preliminary results show that using node scheduling almost doubles the expected WSN total uptime.