GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Architectures of Increased Availability Wireless Sensor Network Nodes
ITC '04 Proceedings of the International Test Conference on International Test Conference
A wireless sensor network architecture and its application in an assistive environment
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Stochastic geometry and random graphs for the analysis and design of wireless networks
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
IEEE Transactions on Wireless Communications
Connectivity properties of large-scale sensor networks
Wireless Networks
An event driven framework for assistive CPS environments
ACM SIGBED Review - Special Issue on the 2nd Joint Workshop on High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability
Network lifetime analytical model for node-disjoint multipath routing in wireless sensor networks
International Journal of Communication Networks and Distributed Systems
Hi-index | 0.00 |
Wireless Sensor Networks (WSNs) is a prevailing technology in assistive environments. Assistive environments may include both home and work spaces such as factories, military installations, industrial spaces, and offices. Critical quality-of-service properties of WSN are reliability, availability, and serviceability. This paper focuses on reliability for healthcare applications. Reliable WSN-based monitoring services can prevent accidents, improve the quality of life, and even help with early health diagnosis and treatments. However, because patients/the elderly may have cognitive or other health problems, the reliability is the dominant factor of quality of services of WSN. This paper presents an approach to analyze the reliability of a WSN with the most popular tree structures. The analysis is based on two distribution models, exponential distribution and Weibull distribution. The simulation results also give options to users on the cost vs. reliability issue.