(N, K) Concept Fault Tolerance
IEEE Transactions on Computers - The MIT Press scientific computation series
Reaching approximate agreement in the presence of faults
Journal of the ACM (JACM)
Tolerating failures of continuous-valued sensors
ACM Transactions on Computer Systems (TOCS)
The consensus problem in fault-tolerant computing
ACM Computing Surveys (CSUR)
Inexact agreement: accuracy, precision, and graceful degradation
Proceedings of the fourth annual ACM symposium on Principles of distributed computing
The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
Advances in Distributed Sensor Integration; Application and Theory
Advances in Distributed Sensor Integration; Application and Theory
Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
A Model for Mobile Code Using Interacting Automata
IEEE Transactions on Mobile Computing
Bidirectional mobile code trust management using tamper resistant hardware
Mobile Networks and Applications - Security in mobile computing environments
Fault Tolerance in Collaborative Sensor Networks for Target Detection
IEEE Transactions on Computers
How to reconcile fault-tolerant interval intersection with the Lipschitz condition
Distributed Computing
Global Clock Synchronization in Sensor Networks
IEEE Transactions on Computers
Stochastic Counting in Sensor Networks, or: Noise Is Good
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Independence of contributing retrieval strategies in data fusion for effective information retrieval
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
| Hi-index | 4.11 |
Sensors that supply data to computer systems are inherently unreliable. When sensors are distributed, reliability is further compromised. How can a system tell good sensor data from faulty? In this article, we describe a hybrid algorithm we developed that satisfies both the precision and accuracy requirements of distributed systems. We used established methods for distributed agreement based on data of limited accuracy. Our hybrid algorithm is suitable for use in both environments and manages to provide increased precision for distributed decision-making without adversely affecting system accuracy. The hybrid algorithm effectively solves the problem of making the correct decision in the presence of faulty data, enhancing both accuracy and precision.