Summary cache: a scalable wide-area web cache sharing protocol
IEEE/ACM Transactions on Networking (TON)
Min-wise independent permutations
Journal of Computer and System Sciences - 30th annual ACM symposium on theory of computing
Dynamic multidimensional histograms
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Identifying Representative Trends in Massive Time Series Data Sets Using Sketches
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Estimating Rarity and Similarity over Data Stream Windows
ESA '02 Proceedings of the 10th Annual European Symposium on Algorithms
Stable distributions, pseudorandom generators, embeddings and data stream computation
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Database-friendly random projections: Johnson-Lindenstrauss with binary coins
Journal of Computer and System Sciences - Special issu on PODS 2001
TiNA: a scheme for temporal coherency-aware in-network aggregation
Proceedings of the 3rd ACM international workshop on Data engineering for wireless and mobile access
Gathering correlated data in sensor networks
Proceedings of the 2004 joint workshop on Foundations of mobile computing
Prediction-based monitoring in sensor networks: taking lessons from MPEG
ACM SIGCOMM Computer Communication Review - Special issue on wireless extensions to the internet
Efficient gathering of correlated data in sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Fast window correlations over uncooperative time series
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Proceedings of the 19th international conference on World wide web
| Hi-index | 0.24 |
Wireless ad hoc networks of battery-powered microsensors (WSNs) are proliferating rapidly and transforming how information is gathered and processed, and how we affect our environment. The limited energy of those sensors poses the challenge of using such systems in an energy efficient manner to perform various activities. A common activity of many applications of WSNs is that of data gathering: for each time step, gather the measurement from each sensor to a base station. Often there is redundancy and/or dependency among the sensor measurements. How to identify the data redundancy/dependency and utilize them on improving energy efficiency of data gathering has been one of the attractive topics. We propose using measurement co-occurrence to identify data redundancy and a novel collaborative data gathering approach utilizing co-occurrence that offers a trade-off between the communication cost of data gathering versus errors at estimating the sensor measurements at the base station. A key tenant of our approach is to have sensors with co-occurring measurements alternate in transmitting such co-occurring measurements to the base station, and having the base station make inferences about the sensor measurements utilizing only the data transmitted to it. We present two effective in-network methods for detecting co-occurrence of measurements, as well as a simple and efficient protocol for scheduling the transmission of the sensor measurements to the base station. We provide experimental results on synthetic and real datasets showing that the proposed system offers substantial (up to 65%) reduction of the communication costs of data gathering with a small number of measurement inference errors (