Introduction to algorithms
Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Medians and beyond: new aggregation techniques for sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
IEEE Communications Magazine
DUST: a generalized notion of similarity between uncertain time series
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
DUST: a generalized notion of similarity between uncertain time series
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
| Hi-index | 0.00 |
In this paper, bidirectional data aggregation (BDA) scheme is proposed for wireless sensor networks. Traditionally, data aggregation bas been performed in backward direction (from source to sink) where each node in the network combines data from its child nodes. BDA algorithm, however, aggregates sensory data in both directions (sink to sources and sources to sink) when the sink is interested in gathering singular aggregates such as MAX and MIN. In forward aggregation (sink to sources), each node tags its sensor reading to the ongoing query only if its local reading is not redundant. Node receiving the tagged query suppresses its response if its local reading is redundant. By doing so, we can limit a number of redundant and unnecessary responses from the sensor nodes, saving energy. Performance evaluation shows that BDA algorithm significantly improves energy-efficiency as well as provides an accurate response for a given singular query in the presence of time-varying sensor readings.