Shifting gears: changing algorithms on the fly to expedite Byzantine agreement
PODC '87 Proceedings of the sixth annual ACM Symposium on Principles of distributed computing
Byzantine Agreement in a Generalized Connected Network
IEEE Transactions on Parallel and Distributed Systems
Data communications, computer networks and open systems (4th ed.)
Data communications, computer networks and open systems (4th ed.)
Consensus under unreliable transmission
Information Processing Letters
Reaching Agreement in the Presence of Faults
Journal of the ACM (JACM)
The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
Byzantine clock synchronization
PODC '84 Proceedings of the third annual ACM symposium on Principles of distributed computing
Distributed deviation detection in sensor networks
ACM SIGMOD Record
Streets of consensus under unknown unreliable network
ACM SIGOPS Operating Systems Review
Dual agreement virtual subnet protocol for mobile ad-hoc networks
Proceedings of the 2007 ACM symposium on Applied computing
On supporting distributed collaboration in sensor networks
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Detection in Sensor Networks: The Saddlepoint Approximation
IEEE Transactions on Signal Processing
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A traditional wireless sensor network is composed of several sensors and a sink. The sink analyzes data measured by the distributed sensors and takes appropriate action. A problem with this kind of architecture is that it may have a single-point of failure. Also, sensors are not connected directly to the sink and must send data by hopping through other sensors. This means that it would take more time for the sink to collect data. In a wireless sensor network, noise may distort the message during transmission. An intruder may also alter the message maliciously. So far, there has been little research done on the design of robust wireless sensor networks to overcome the single-point of failure problem and environmental interference. In this study, we propose a consensus problem algorithm based solution to enhance the accuracy of the detected result in an autonomous local sensor network without a centralized sink. Under our scheme, there is no need to send the detected value to the sink. The solution can therefore reduce the transmission and routing time, allowing appropriate action to be made directly and quickly.