On-board preventive maintenance: a design-oriented analytic study for long-life applications
IPDS '98 Proceedings of the third IEEE international performance and dependability symposium on International performance and dependability symposium
Fine grained software degradation models for optimal rejuvenation policies
Performance Evaluation
Denial of Service in Sensor Networks
Computer
A Survivability Assessment Tool for Restorable Networks
ASSET '00 Proceedings of the 3rd IEEE Symposium on Application-Specific Systems and Software Engineering Technology (ASSET'00)
A Methodology for Detection and Estimation of Software Aging
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Software Rejuvenation: Analysis, Module and Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Improving availability with recursive microreboots: a soft-state system case study
Performance Evaluation - Dependable systems and networks-performance and dependability symposium (DSN-PDS) 2002: Selected papers
IEEE Communications Magazine
Hi-index | 0.00 |
In a near future, our use of computer technology will increasingly depend on Wireless Sensor Network (WSN) system consists of plethora of nodes. This WSN's survivability will depend most critically on base station that attaches WSN to outside network including Internet. The need for survivability is most pressing for mission critical systems. To increase the survivability, we show up the detection model with proactive rejuvenation and reactive recovery through a Continuous Time Markov Chain (CTMC) process, where it is designed to provide continued useful service in face of attacks, failures, or accidents and to prevent the intruders' attempts in their tracks. Afterwards, we focus on downtime analysis. This is a general model which can be applicable to any nodes in a WSN environment. But this model can be more critically used for base station since base station is almost a single point of failure in a WSN.