Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Adaptive data aggregation scheme in clustered wireless sensor networks
Computer Communications
Artificial Intelligence Review
Data fusion and topology control in wireless sensor networks
WSEAS Transactions on Signal Processing
Evaluation of Metadata-Based Data Aggregation Scheme in Clustering Wireless Sensor Networks
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Adaptive data aggregation for clustered wireless sensor networks
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
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Energy efficiency has been known as the most significant problem in all facets of the wireless sensor network operations. In this paper, we propose a meta-data-based data aggregation scheme in the clustering wireless sensor networks. For all sensor nodes in the sensing range of an event can detect the event and generate the sensing data, the cluster head will receive the sensing data packets about the same event, and there is likely to be some redundancy. In our scheme, only one of the sensor nodes within the sensing range of an event in a cluster is selected to transmit the sensing data to the cluster head via the meta data negotiation. We also evaluate this scheme with the LEACH protocol. The simulation results show that the cluster protocol with our data aggregation scheme is effective in prolonging the network lifetime and supporting scalable data aggregation.