Dependable data aggregation on cluster-based wireless sensor networks
ICCOM'07 Proceedings of the 11th Conference on 11th WSEAS International Conference on Communications - Volume 11
Dependable Geographical Routing on Wireless Sensor Networks
ICESS '07 Proceedings of the 3rd international conference on Embedded Software and Systems
Reliable Greedy Forwarding in Obstacle-Aware Wireless Sensor Networks
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
A failure diagnosis based topology reconfiguration scheme for ad hoc networks
Proceedings of the 5th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
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Most applications of Wireless Sensor Networks (WSNs) the sensors are deployed on unfavorable environment such as chemical reactor or battlefield that with high temperature, noise, and interference, could probably incur sensor nodes sense, compute, or communicate improperly. Those also raise error responds to the data collectors. In this paper, a fault estimation model is proposed and can be used to construct the fault map which can be used in WSNs widely, especially in hostile environments. Sensor nodes are transmitting environmental data when it detected with some extra sensed data, such as outward temperature and noise. The fault probability can be estimated and recognized with this extra information using Bayesian Belief Network (BBN). In this paper, we develop a fault-estimation algorithm is based on the cluster-based framework and show how this model works to find out the probably faulty nodes. Then we simulate and construct the fault map of WSNs. Keywords: fault estimation, fault map, Bayesian Belief Network, wireless Sensor network