Wireless Sensor Networks: To Cluster or Not To Cluster?
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
MWM: a map-based world model for wireless sensor networks
Autonomics '08 Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems
Map-based modeling and design of wireless sensor networks with OMNeT++
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
gMAP: efficient construction of global maps for mobility-assisted wireless sensor networks
WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
Efficient predictive monitoring of wireless sensor networks
International Journal of Autonomous and Adaptive Communications Systems
Correlation-based clustering in wireless sensor network for energy saving protocol
Proceedings of the Fourth Symposium on Information and Communication Technology
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This paper introduces a novel energy efficient data aggregation algorithm that targets spatially correlated data in sensor networks. Isolines aggregation works by detecting isolines which are the lines in a contour map. Energy efficiency is achieved by having only the nodes that detect the isoline report to the sink. Simulation results show that isoline aggregation can lead to significant energy savings (some scenarios reported that no aggregation can send close to 150% more bytes than isolines aggregation) with adequate data accuracy. We also compared iso-lines against polygon aggregation, our implementation of an approach representing existing spatially-correlated data aggregation mechanisms. Our results report that isolines exhibit higher accuracy with a slight advantage in energy efficiency.